Lightspeed Venture Partners

Lightspeed Venture Partners is a global venture capital firm established in 1998 that focuses on investing in early-stage companies across a diverse range of sectors. The firm targets technology-led businesses as well as non-technology opportunities in areas such as advertising and media, healthcare, education, financial services, and retail. It engages in various investment stages, including seed, early-stage, later-stage, and expansion-stage financing. Lightspeed specializes in debt financing for start-ups and growth companies while also exploring opportunities in consumer, enterprise, cleantech, and other markets. The firm is known for its strategic investments in innovative sectors, including big data, bitcoin, mobile technology, and software solutions.

Vaibhav Agrawal

Associate Partner

Saquib AE

Partner

Mercedes Bent

Partner

Bhushan, Akshay

Partner

Chahal, Guru

Partner

Yoni Cheifetz

Partner

Chu M.D., Ph.D., Shelley

Partner

James Ephrati

Partner

Gaurav Gupta

Partner

David Gussarsky

Partner

Galym Imanbayev

Partner

Nnamdi Iregbulem

Partner

Raviraj Jain

Partner

Arif Janmohamed

Partner

Kareem, Ansaf

Partner

Khare, Dev

Partner

Harsha Kumar

Associate Partner

Pinn Lawjindakul

Partner

Pachara Lawjindakul

Partner

Will Leas

Partner

Liew, Jeremy

Partner

MacQuitty Ph.D., Jonathan J.

Venture Partner

Hemant Mohapatra

Partner

Andrew Moley

Operating Partner and CFO

Tal Morgenstern

Partner

Justin Overdorff

Partner

Nicole Quinn

General Partner

Chris Schaepe

Co-Founder

Shan Shan

Partner

Shuvi Shrivastava

Partner

Adam Smith

Partner

Bejul Somaia

Partner

Rahul Taneja

Partner

Twohig, Bradley

Partner

Anoushka Vaswani

Partner

Vitkauskas, Rytis

Partner

Ye, Jerry

Partner, Data Platform

Connor Love

Partner

Peter Nieh

Partner and Co-Founder

John Thompson

Venture Partner

James Alcorn

Partner

Alex Taussig

Partner

Past deals in Predictive Analytics

Select Star

Series A in 2023
Select Star is a data governance platform designed to assist organizations in managing and understanding their data effectively. The platform automates the cataloging of datasets and provides end-to-end lineage tracking, along with a shared business glossary and semantic layer. This functionality empowers teams to work confidently with reliable data, facilitating data democratization and governance. Select Star’s user-friendly data portal, combined with built-in automation, addresses data discovery challenges, allowing data scientists and business analysts to quickly access relevant data. Its capabilities support various use cases, including cloud data migrations and enterprise AI initiatives, making it an essential tool for businesses aiming to enhance their data management practices.

NyquistAI

Seed Round in 2022
NyquistAI is focused on providing a comprehensive platform for accessing and analyzing life science data. Utilizing advanced machine learning technology, NyquistAI combines unstructured data from global clinical trials and real-world sources to deliver valuable insights for healthcare professionals. The platform aims to enhance research capabilities and inform business strategies by offering up-to-date and credible information that spans the entire innovation lifecycle in the medical technology sector. With customizable solutions, NyquistAI enables users to efficiently compile and interpret crucial data, thereby supporting informed decision-making and fostering innovative opportunities in the life sciences field.

Ponder

Seed Round in 2022
Ponder Data Inc. provides enterprise-ready tools for rapid, flexible experimentation with data at scale. Ponder makes data teams more productive by enabling them to get insights faster with tools they know and love.

Redpanda Data

Series B in 2022
Redpanda Data is a company that provides a modern streaming data platform designed to handle large data streams effectively. Its platform allows users to record both real-time and historical enterprise data, making it a valuable tool for organizations that require efficient data management. Redpanda's architecture features a compatible application programming interface and is deployable as a single binary, which simplifies the deployment process. Additionally, it includes a built-in schema registry and operates without external dependencies, enhancing performance and reliability for developers. This combination of features enables enterprises to maintain their software stacks while improving data processing capabilities.

Voltron Data

Seed Round in 2022
Voltron Data specializes in developing tools for data access and memory computing aimed at enhancing the data analytics ecosystem. The company has created an open-source platform that facilitates seamless connections between data, hardware, and developers. By providing modular and composable analytics building blocks, Voltron Data enables the creation of multi-language tools that promote accelerated data interchange and in-memory processing. This approach allows developers, data scientists, and data engineers to improve their toolchains and establish better interoperability standards for data access, preparation, cleaning, analytics, and feature engineering.

Voltron Data

Series A in 2022
Voltron Data specializes in developing tools for data access and memory computing aimed at enhancing the data analytics ecosystem. The company has created an open-source platform that facilitates seamless connections between data, hardware, and developers. By providing modular and composable analytics building blocks, Voltron Data enables the creation of multi-language tools that promote accelerated data interchange and in-memory processing. This approach allows developers, data scientists, and data engineers to improve their toolchains and establish better interoperability standards for data access, preparation, cleaning, analytics, and feature engineering.

Dremio

Series E in 2022
Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a data lake engine that enhances the efficiency of data analytics. The platform allows users to execute SQL queries directly against data stored in lakes, eliminating the need for traditional data warehouses. By providing tools that streamline and curate data, Dremio accelerates analytical processes for business intelligence, data science, and machine learning applications. Its self-service capabilities empower data engineers, analysts, and scientists to work more productively and independently. Dremio's innovative approach facilitates faster access to insights, enabling organizations to derive greater value from their data without the complexities of data movement or transformation.

Personetics

Private Equity Round in 2022
Personetics Technologies Ltd. is a provider of customer interaction technology specifically designed for the financial services industry. Established in 2010 and headquartered in White Plains, New York, with additional offices in Tel Aviv and Singapore, the company offers various solutions to enhance customer experiences. Its flagship product, Personetics Digital Banker, utilizes customer profiles and automated intelligence to facilitate customer-centric processes across multiple channels, including web, mobile, and text banking. The company’s offerings also include Personetics Anywhere, which enables personalized assistance through messaging platforms, and Self-Driving Finance, an engagement platform that supports customers in managing their finances. By leveraging a real-time analytics engine, Personetics helps financial institutions convert passive digital users into active participants while improving customer experiences and reducing operational costs.

ThoughtSpot

Series F in 2021
ThoughtSpot, Inc. specializes in search-driven analytics for enterprises, providing a platform that enables users to analyze complex data through an intuitive natural language search interface. Founded in 2012 and headquartered in Sunnyvale, California, the company offers tools for generating instant charts, building reports, and sharing insights across various sectors, including retail, healthcare, and financial services. Its AI-native platform empowers users to uncover actionable insights quickly, facilitating data-driven decision-making. The technology connects seamlessly with diverse data sources, whether on-premise or cloud-based, allowing businesses to manage and analyze large-scale enterprise data efficiently. ThoughtSpot has established strategic partnerships and serves notable clients that leverage its capabilities to enhance operational outcomes. Additionally, the company provides a low-code solution for developers to integrate analytics directly into their products. With locations in multiple countries, ThoughtSpot is expanding its reach in North America, Europe, and Asia-Pacific.

Aquant

Series C in 2021
Aquant, Inc. is a technology company that specializes in service lifecycle optimization through its advanced platform, which leverages machine learning to address equipment downtime and repetitive service requests. By monitoring equipment in real-time and aggregating various signals, Aquant's platform predicts faults and provides insights into the root causes of failures. It also assists in optimizing inventory management by analyzing historical usage data and forecasting future demand. The company's solutions include automated insights, job prioritization, parts pickup optimization, and risk assessment, catering to industries such as life sciences, medical equipment, capital equipment, and commercial appliances. Established in 2016 and headquartered in New York, with an additional office in Tel Aviv, Aquant aims to empower organizations to make informed, data-driven decisions and enhance operational efficiency.

Acceldata

Series B in 2021
Acceldata, Inc., founded in 2018 and headquartered in Palo Alto, California, develops an enterprise data observability platform designed to enhance analytics and artificial intelligence systems. The platform addresses various needs, including data warehousing, security, preparation, and accuracy forecasting, while also supporting Internet of Things (IoT) applications for both consumer and commercial use. Acceldata’s solutions facilitate data integration and streaming, allowing clients to collect and process data effectively, build data clusters, and derive actionable insights. The company's technology enables enterprises to proactively manage performance, security, data quality, and operational workflows. With a diverse client base that includes notable organizations like Dun & Bradstreet and AT&T, Acceldata has established a strong presence in the data observability market. The company also has offices in San Jose, California; Bengaluru, India; and Berlin, Germany.

People.ai

Series D in 2021
People.ai is an artificial intelligence platform headquartered in San Francisco that enhances enterprise revenue operations. It assists sales, marketing, and customer success teams in identifying revenue opportunities by capturing and analyzing customer contacts, activities, and engagements. The platform provides sales leaders with comprehensive insights into sales activities, facilitating effective team management and revenue growth. It leverages AI to offer performance analytics, personalized coaching, and pipeline reviews. Additionally, People.ai helps marketers visualize interactions with customers and assess the success of campaigns, enabling them to create targeted marketing strategies that improve return on investment. Customer success teams utilize the platform to engage effectively with clients during transitions and align their efforts with high-potential opportunities, ensuring efficient resource allocation and support.

Fiddler AI

Series B in 2021
Fiddler is a pioneer in enterprise Model Performance Management. Data Science, MLOps, and LOB teams use Fiddler to monitor, explain, analyze, and improve their models and build trust into AI. The unified environment provides a common language, centralized controls, and actionable insights to operationalize ML/AI with trust. It addresses the unique challenges of building in-house stable and secure MLOps systems at scale. Unlike observability solutions, Fiddler seamlessly integrates deep XAI and analytics to help you grow into advanced capabilities over time and build a framework for responsible AI practices. F500 organizations use Fiddler across training and production models to accelerate AI time-to-value and scale and increase revenue by connecting predictions to business context (or providing visibility into model performance and behavior).

Personetics

Private Equity Round in 2021
Personetics Technologies Ltd. is a provider of customer interaction technology specifically designed for the financial services industry. Established in 2010 and headquartered in White Plains, New York, with additional offices in Tel Aviv and Singapore, the company offers various solutions to enhance customer experiences. Its flagship product, Personetics Digital Banker, utilizes customer profiles and automated intelligence to facilitate customer-centric processes across multiple channels, including web, mobile, and text banking. The company’s offerings also include Personetics Anywhere, which enables personalized assistance through messaging platforms, and Self-Driving Finance, an engagement platform that supports customers in managing their finances. By leveraging a real-time analytics engine, Personetics helps financial institutions convert passive digital users into active participants while improving customer experiences and reducing operational costs.

Redpanda Data

Series A in 2021
Redpanda Data is a company that provides a modern streaming data platform designed to handle large data streams effectively. Its platform allows users to record both real-time and historical enterprise data, making it a valuable tool for organizations that require efficient data management. Redpanda's architecture features a compatible application programming interface and is deployable as a single binary, which simplifies the deployment process. Additionally, it includes a built-in schema registry and operates without external dependencies, enhancing performance and reliability for developers. This combination of features enables enterprises to maintain their software stacks while improving data processing capabilities.

Dremio

Series D in 2021
Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a data lake engine that enhances the efficiency of data analytics. The platform allows users to execute SQL queries directly against data stored in lakes, eliminating the need for traditional data warehouses. By providing tools that streamline and curate data, Dremio accelerates analytical processes for business intelligence, data science, and machine learning applications. Its self-service capabilities empower data engineers, analysts, and scientists to work more productively and independently. Dremio's innovative approach facilitates faster access to insights, enabling organizations to derive greater value from their data without the complexities of data movement or transformation.

DataFleets

Seed Round in 2020
DataFleets Ltd. is a data analytics software company headquartered in Palo Alto, California, founded in 2018. It specializes in developing a privacy-preserving data engine that unifies distributed data for efficient access and agile analytics. The platform enables data scientists and developers to create analytics, machine learning models, and applications on sensitive data sets without direct access to the data itself. This is achieved through a "data fleet," which incorporates advanced techniques such as federated computation, transfer learning, encryption, and differential privacy to ensure data protection. DataFleets aims to help organizations navigate the balance between data privacy and innovation, allowing them to comply with data protection standards while advancing their data science initiatives. The company also offers a web-based notebook editor for hypothesis testing, further enhancing its analytics capabilities.

Acceldata

Series A in 2020
Acceldata, Inc., founded in 2018 and headquartered in Palo Alto, California, develops an enterprise data observability platform designed to enhance analytics and artificial intelligence systems. The platform addresses various needs, including data warehousing, security, preparation, and accuracy forecasting, while also supporting Internet of Things (IoT) applications for both consumer and commercial use. Acceldata’s solutions facilitate data integration and streaming, allowing clients to collect and process data effectively, build data clusters, and derive actionable insights. The company's technology enables enterprises to proactively manage performance, security, data quality, and operational workflows. With a diverse client base that includes notable organizations like Dun & Bradstreet and AT&T, Acceldata has established a strong presence in the data observability market. The company also has offices in San Jose, California; Bengaluru, India; and Berlin, Germany.

Dremio

Series C in 2020
Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a data lake engine that enhances the efficiency of data analytics. The platform allows users to execute SQL queries directly against data stored in lakes, eliminating the need for traditional data warehouses. By providing tools that streamline and curate data, Dremio accelerates analytical processes for business intelligence, data science, and machine learning applications. Its self-service capabilities empower data engineers, analysts, and scientists to work more productively and independently. Dremio's innovative approach facilitates faster access to insights, enabling organizations to derive greater value from their data without the complexities of data movement or transformation.

PredictHQ

Series B in 2020
Smarter demand forecasting models at scale start here. Discover what causes your anomalies with PredictHQ's API. Our systems aggregate and verify millions of demand causal factors and ranks them by predicted impact so your team makes better decisions faster. Our demand intelligence is used by some of the smartest companies all over the world including Uber, Booking.com, Alexa, Accenture, Domino’s and many more to build more accurate forecasts, intelligent products and operational strategies. Customers are using our API for: - Demand forecasting model improvement - Dynamic pricing optimization - Workforce optimization - Inventory management improvements - Predictive analyitcs - Data centralization strategies

Aquant

Series B in 2020
Aquant, Inc. is a technology company that specializes in service lifecycle optimization through its advanced platform, which leverages machine learning to address equipment downtime and repetitive service requests. By monitoring equipment in real-time and aggregating various signals, Aquant's platform predicts faults and provides insights into the root causes of failures. It also assists in optimizing inventory management by analyzing historical usage data and forecasting future demand. The company's solutions include automated insights, job prioritization, parts pickup optimization, and risk assessment, catering to industries such as life sciences, medical equipment, capital equipment, and commercial appliances. Established in 2016 and headquartered in New York, with an additional office in Tel Aviv, Aquant aims to empower organizations to make informed, data-driven decisions and enhance operational efficiency.

Redpanda Data

Seed Round in 2020
Redpanda Data is a company that provides a modern streaming data platform designed to handle large data streams effectively. Its platform allows users to record both real-time and historical enterprise data, making it a valuable tool for organizations that require efficient data management. Redpanda's architecture features a compatible application programming interface and is deployable as a single binary, which simplifies the deployment process. Additionally, it includes a built-in schema registry and operates without external dependencies, enhancing performance and reliability for developers. This combination of features enables enterprises to maintain their software stacks while improving data processing capabilities.

Viralspace.ai

Pre Seed Round in 2019
Viralspace uses AI to help marketers make data-driven decisions about their ad creative. We tag creative factors across a brand's past ads, ranging from objects to actions to text styles, and present recommendations in a variety of AI-based tools. We work with brands like TechStyle and Philips and have proven 70%+ improvements in CPA.

Fiddler AI

Venture Round in 2019
Fiddler is a pioneer in enterprise Model Performance Management. Data Science, MLOps, and LOB teams use Fiddler to monitor, explain, analyze, and improve their models and build trust into AI. The unified environment provides a common language, centralized controls, and actionable insights to operationalize ML/AI with trust. It addresses the unique challenges of building in-house stable and secure MLOps systems at scale. Unlike observability solutions, Fiddler seamlessly integrates deep XAI and analytics to help you grow into advanced capabilities over time and build a framework for responsible AI practices. F500 organizations use Fiddler across training and production models to accelerate AI time-to-value and scale and increase revenue by connecting predictions to business context (or providing visibility into model performance and behavior).

Fiddler AI

Series A in 2019
Fiddler is a pioneer in enterprise Model Performance Management. Data Science, MLOps, and LOB teams use Fiddler to monitor, explain, analyze, and improve their models and build trust into AI. The unified environment provides a common language, centralized controls, and actionable insights to operationalize ML/AI with trust. It addresses the unique challenges of building in-house stable and secure MLOps systems at scale. Unlike observability solutions, Fiddler seamlessly integrates deep XAI and analytics to help you grow into advanced capabilities over time and build a framework for responsible AI practices. F500 organizations use Fiddler across training and production models to accelerate AI time-to-value and scale and increase revenue by connecting predictions to business context (or providing visibility into model performance and behavior).

ThoughtSpot

Series E in 2019
ThoughtSpot, Inc. specializes in search-driven analytics for enterprises, providing a platform that enables users to analyze complex data through an intuitive natural language search interface. Founded in 2012 and headquartered in Sunnyvale, California, the company offers tools for generating instant charts, building reports, and sharing insights across various sectors, including retail, healthcare, and financial services. Its AI-native platform empowers users to uncover actionable insights quickly, facilitating data-driven decision-making. The technology connects seamlessly with diverse data sources, whether on-premise or cloud-based, allowing businesses to manage and analyze large-scale enterprise data efficiently. ThoughtSpot has established strategic partnerships and serves notable clients that leverage its capabilities to enhance operational outcomes. Additionally, the company provides a low-code solution for developers to integrate analytics directly into their products. With locations in multiple countries, ThoughtSpot is expanding its reach in North America, Europe, and Asia-Pacific.

SPATE

Seed Round in 2019
Spate, Inc. is a technology company based in New York that specializes in analyzing consumer behavior signals from across the internet to identify emerging trends, particularly in the beauty, wellness, and personal care sectors. Founded in 2018, Spate employs machine intelligence to provide data-driven insights that help consumer brands understand the dynamics behind trending products and marketing strategies. By leveraging its analytical capabilities, Spate enables brands to confidently engage with new trends, facilitating informed decision-making in product development and marketing initiatives.

People.ai

Series C in 2019
People.ai is an artificial intelligence platform headquartered in San Francisco that enhances enterprise revenue operations. It assists sales, marketing, and customer success teams in identifying revenue opportunities by capturing and analyzing customer contacts, activities, and engagements. The platform provides sales leaders with comprehensive insights into sales activities, facilitating effective team management and revenue growth. It leverages AI to offer performance analytics, personalized coaching, and pipeline reviews. Additionally, People.ai helps marketers visualize interactions with customers and assess the success of campaigns, enabling them to create targeted marketing strategies that improve return on investment. Customer success teams utilize the platform to engage effectively with clients during transitions and align their efforts with high-potential opportunities, ensuring efficient resource allocation and support.

Aquant

Series A in 2018
Aquant, Inc. is a technology company that specializes in service lifecycle optimization through its advanced platform, which leverages machine learning to address equipment downtime and repetitive service requests. By monitoring equipment in real-time and aggregating various signals, Aquant's platform predicts faults and provides insights into the root causes of failures. It also assists in optimizing inventory management by analyzing historical usage data and forecasting future demand. The company's solutions include automated insights, job prioritization, parts pickup optimization, and risk assessment, catering to industries such as life sciences, medical equipment, capital equipment, and commercial appliances. Established in 2016 and headquartered in New York, with an additional office in Tel Aviv, Aquant aims to empower organizations to make informed, data-driven decisions and enhance operational efficiency.

PredictHQ

Series A in 2018
Smarter demand forecasting models at scale start here. Discover what causes your anomalies with PredictHQ's API. Our systems aggregate and verify millions of demand causal factors and ranks them by predicted impact so your team makes better decisions faster. Our demand intelligence is used by some of the smartest companies all over the world including Uber, Booking.com, Alexa, Accenture, Domino’s and many more to build more accurate forecasts, intelligent products and operational strategies. Customers are using our API for: - Demand forecasting model improvement - Dynamic pricing optimization - Workforce optimization - Inventory management improvements - Predictive analyitcs - Data centralization strategies

People.ai

Series B in 2018
People.ai is an artificial intelligence platform headquartered in San Francisco that enhances enterprise revenue operations. It assists sales, marketing, and customer success teams in identifying revenue opportunities by capturing and analyzing customer contacts, activities, and engagements. The platform provides sales leaders with comprehensive insights into sales activities, facilitating effective team management and revenue growth. It leverages AI to offer performance analytics, personalized coaching, and pipeline reviews. Additionally, People.ai helps marketers visualize interactions with customers and assess the success of campaigns, enabling them to create targeted marketing strategies that improve return on investment. Customer success teams utilize the platform to engage effectively with clients during transitions and align their efforts with high-potential opportunities, ensuring efficient resource allocation and support.

Acceldata

Seed Round in 2018
Acceldata, Inc., founded in 2018 and headquartered in Palo Alto, California, develops an enterprise data observability platform designed to enhance analytics and artificial intelligence systems. The platform addresses various needs, including data warehousing, security, preparation, and accuracy forecasting, while also supporting Internet of Things (IoT) applications for both consumer and commercial use. Acceldata’s solutions facilitate data integration and streaming, allowing clients to collect and process data effectively, build data clusters, and derive actionable insights. The company's technology enables enterprises to proactively manage performance, security, data quality, and operational workflows. With a diverse client base that includes notable organizations like Dun & Bradstreet and AT&T, Acceldata has established a strong presence in the data observability market. The company also has offices in San Jose, California; Bengaluru, India; and Berlin, Germany.

Fiddler AI

Seed Round in 2018
Fiddler is a pioneer in enterprise Model Performance Management. Data Science, MLOps, and LOB teams use Fiddler to monitor, explain, analyze, and improve their models and build trust into AI. The unified environment provides a common language, centralized controls, and actionable insights to operationalize ML/AI with trust. It addresses the unique challenges of building in-house stable and secure MLOps systems at scale. Unlike observability solutions, Fiddler seamlessly integrates deep XAI and analytics to help you grow into advanced capabilities over time and build a framework for responsible AI practices. F500 organizations use Fiddler across training and production models to accelerate AI time-to-value and scale and increase revenue by connecting predictions to business context (or providing visibility into model performance and behavior).

Innovaccer

Series B in 2018
Innovaccer Inc. develops analytical and data science applications primarily for the healthcare sector, while also serving financial services, manufacturing, retail, and academic research organizations. The company offers a comprehensive Healthcare Intelligence Cloud, which aggregates and analyzes patient data from various sources, including electronic health records and medical devices. This platform enhances patient care and operational efficiency by providing tools for risk adjustment, population health management, and care coordination. Key solutions include Datashop, which features modules for patient insights, economic market analysis, and healthcare trend datasets, as well as a Clinical Documentation Improvement solution to enhance documentation integrity. Innovaccer's offerings also include care navigation, billing, and claims processing tools to streamline operations and improve patient outcomes. The company has established partnerships to further its impact and operates globally from its headquarters in Noida, India, with an office in Palo Alto, California. Founded in 2012, Innovaccer remains committed to transforming healthcare delivery through its innovative technology platform.

ThoughtSpot

Series D in 2018
ThoughtSpot, Inc. specializes in search-driven analytics for enterprises, providing a platform that enables users to analyze complex data through an intuitive natural language search interface. Founded in 2012 and headquartered in Sunnyvale, California, the company offers tools for generating instant charts, building reports, and sharing insights across various sectors, including retail, healthcare, and financial services. Its AI-native platform empowers users to uncover actionable insights quickly, facilitating data-driven decision-making. The technology connects seamlessly with diverse data sources, whether on-premise or cloud-based, allowing businesses to manage and analyze large-scale enterprise data efficiently. ThoughtSpot has established strategic partnerships and serves notable clients that leverage its capabilities to enhance operational outcomes. Additionally, the company provides a low-code solution for developers to integrate analytics directly into their products. With locations in multiple countries, ThoughtSpot is expanding its reach in North America, Europe, and Asia-Pacific.

Reflektive

Series C in 2018
Reflektive, Inc. offers a real-time performance management platform that enhances employee performance, engagement, and analytics. Founded in 2014 and headquartered in San Francisco, the company provides tools for instant feedback, goal management, performance reviews, and check-ins, which are integrated into daily workflows to promote continuous improvement. This platform allows employees to share feedback seamlessly, fostering a culture of open communication. Reflektive also features a Calibration tool that ensures fairness and equity in performance ratings across various teams and locations. With a client base of over 450 organizations, including notable companies like Comcast and Instacart, Reflektive has positioned itself as a leader in innovative HR solutions. The company has received backing from prominent investors and has been recognized in industry reports for its contributions to human capital management.

Dremio

Series B in 2018
Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a data lake engine that enhances the efficiency of data analytics. The platform allows users to execute SQL queries directly against data stored in lakes, eliminating the need for traditional data warehouses. By providing tools that streamline and curate data, Dremio accelerates analytical processes for business intelligence, data science, and machine learning applications. Its self-service capabilities empower data engineers, analysts, and scientists to work more productively and independently. Dremio's innovative approach facilitates faster access to insights, enabling organizations to derive greater value from their data without the complexities of data movement or transformation.

Qubole

Series D in 2017
Qubole, Inc. is a cloud-based data platform that specializes in big data analytics, artificial intelligence, and machine learning applications. The company offers a comprehensive platform that enables provisioning, management, and scaling of data workloads on major cloud infrastructures, including Amazon Web Services, Google Cloud, and Microsoft Azure. Through its Qubole Data Service, users can access and manage big data clusters, execute queries using various programming languages, and integrate with third-party business intelligence tools. Qubole supports a range of workloads, such as extract, transform, load (ETL), ad hoc analytics, and data science, catering to data scientists, analysts, and engineers. The platform also includes features for governance and security, alongside user-friendly tools like SQL query tools, notebooks, and dashboards. Founded in 2011 and headquartered in Santa Clara, California, Qubole has additional offices in several global locations and operates as a subsidiary of IDERA, Inc.

Sourceress

Seed Round in 2017
Sourceress is an AI recruiter that is reinventing how people find jobs. With tailor-made machine learning models, they rigorously define what a company is looking for in a role, identify great candidates, and engage candidates with highly personalized introductions. Their process creates a stream of interested candidates that hiring managers are excited about more than 85% of the time. Their mission is to accelerate human progress by helping people work in jobs that matter. They raised $3M from Y Combinator, Lightspeed Venture Partners and OpenAI researchers.

MapR

Venture Round in 2017
MapR Technologies is a provider of a next-generation data platform designed to support AI and analytics for enterprises. The platform enables organizations to integrate analytics into their business processes, enhancing revenue, reducing costs, and addressing risks. MapR effectively manages the complexities associated with large-scale distributed processing, covering various environments from the cloud to edge computing and IoT analytics. The company's offerings include real-time database capabilities and enterprise-grade data protection, ensuring business continuity and facilitating the digital transformation of data across sectors such as marketing, security, and IT operations. A range of prominent companies, including Amazon, Cisco, Google, Microsoft, and SAP, rely on the MapR Data Platform to tackle their most intricate challenges in AI and analytics.

ThoughtSpot

Series C in 2017
ThoughtSpot, Inc. specializes in search-driven analytics for enterprises, providing a platform that enables users to analyze complex data through an intuitive natural language search interface. Founded in 2012 and headquartered in Sunnyvale, California, the company offers tools for generating instant charts, building reports, and sharing insights across various sectors, including retail, healthcare, and financial services. Its AI-native platform empowers users to uncover actionable insights quickly, facilitating data-driven decision-making. The technology connects seamlessly with diverse data sources, whether on-premise or cloud-based, allowing businesses to manage and analyze large-scale enterprise data efficiently. ThoughtSpot has established strategic partnerships and serves notable clients that leverage its capabilities to enhance operational outcomes. Additionally, the company provides a low-code solution for developers to integrate analytics directly into their products. With locations in multiple countries, ThoughtSpot is expanding its reach in North America, Europe, and Asia-Pacific.

People.ai

Series A in 2017
People.ai is an artificial intelligence platform headquartered in San Francisco that enhances enterprise revenue operations. It assists sales, marketing, and customer success teams in identifying revenue opportunities by capturing and analyzing customer contacts, activities, and engagements. The platform provides sales leaders with comprehensive insights into sales activities, facilitating effective team management and revenue growth. It leverages AI to offer performance analytics, personalized coaching, and pipeline reviews. Additionally, People.ai helps marketers visualize interactions with customers and assess the success of campaigns, enabling them to create targeted marketing strategies that improve return on investment. Customer success teams utilize the platform to engage effectively with clients during transitions and align their efforts with high-potential opportunities, ensuring efficient resource allocation and support.

Gainsight

Series E in 2017
Gainsight is a technology company that specializes in customer success solutions, aimed at helping businesses improve customer retention and drive growth. Founded in 2009 and headquartered in San Francisco, the company offers a comprehensive customer cloud platform that integrates various tools focused on customer success, product experience, revenue optimization, and customer data management. Gainsight's platform enables organizations to identify at-risk customers and implement systematic processes to address their concerns, enhancing engagement efforts. This customer-centric approach allows businesses to effectively onboard and retain clients, ultimately expanding their customer base and fostering long-term relationships.

Ascend.io

Series A in 2017
Ascend.io, based in Palo Alto, California, offers an advanced platform designed to streamline big data analytics and engineering workflows. The platform integrates essential capabilities such as data ingestion, transformation, delivery, orchestration, and observability into a unified solution, enabling data teams to operate significantly faster. By leveraging declarative configurations and automation, Ascend.io manages cloud infrastructure, optimizes data pipelines, and reduces maintenance throughout the data lifecycle. This innovative approach supports business managers in initiating projects and making informed decisions by simplifying connections to various applications. Recognized as a 2021 Gartner Cool Vendor, Ascend.io is supported by prominent venture capital firms and notable advisors in the tech industry.

Reflektive

Series B in 2017
Reflektive, Inc. offers a real-time performance management platform that enhances employee performance, engagement, and analytics. Founded in 2014 and headquartered in San Francisco, the company provides tools for instant feedback, goal management, performance reviews, and check-ins, which are integrated into daily workflows to promote continuous improvement. This platform allows employees to share feedback seamlessly, fostering a culture of open communication. Reflektive also features a Calibration tool that ensures fairness and equity in performance ratings across various teams and locations. With a client base of over 450 organizations, including notable companies like Comcast and Instacart, Reflektive has positioned itself as a leader in innovative HR solutions. The company has received backing from prominent investors and has been recognized in industry reports for its contributions to human capital management.

MapR

Venture Round in 2016
MapR Technologies is a provider of a next-generation data platform designed to support AI and analytics for enterprises. The platform enables organizations to integrate analytics into their business processes, enhancing revenue, reducing costs, and addressing risks. MapR effectively manages the complexities associated with large-scale distributed processing, covering various environments from the cloud to edge computing and IoT analytics. The company's offerings include real-time database capabilities and enterprise-grade data protection, ensuring business continuity and facilitating the digital transformation of data across sectors such as marketing, security, and IT operations. A range of prominent companies, including Amazon, Cisco, Google, Microsoft, and SAP, rely on the MapR Data Platform to tackle their most intricate challenges in AI and analytics.

Innovaccer

Series A in 2016
Innovaccer Inc. develops analytical and data science applications primarily for the healthcare sector, while also serving financial services, manufacturing, retail, and academic research organizations. The company offers a comprehensive Healthcare Intelligence Cloud, which aggregates and analyzes patient data from various sources, including electronic health records and medical devices. This platform enhances patient care and operational efficiency by providing tools for risk adjustment, population health management, and care coordination. Key solutions include Datashop, which features modules for patient insights, economic market analysis, and healthcare trend datasets, as well as a Clinical Documentation Improvement solution to enhance documentation integrity. Innovaccer's offerings also include care navigation, billing, and claims processing tools to streamline operations and improve patient outcomes. The company has established partnerships to further its impact and operates globally from its headquarters in Noida, India, with an office in Palo Alto, California. Founded in 2012, Innovaccer remains committed to transforming healthcare delivery through its innovative technology platform.

ThoughtSpot

Series C in 2016
ThoughtSpot, Inc. specializes in search-driven analytics for enterprises, providing a platform that enables users to analyze complex data through an intuitive natural language search interface. Founded in 2012 and headquartered in Sunnyvale, California, the company offers tools for generating instant charts, building reports, and sharing insights across various sectors, including retail, healthcare, and financial services. Its AI-native platform empowers users to uncover actionable insights quickly, facilitating data-driven decision-making. The technology connects seamlessly with diverse data sources, whether on-premise or cloud-based, allowing businesses to manage and analyze large-scale enterprise data efficiently. ThoughtSpot has established strategic partnerships and serves notable clients that leverage its capabilities to enhance operational outcomes. Additionally, the company provides a low-code solution for developers to integrate analytics directly into their products. With locations in multiple countries, ThoughtSpot is expanding its reach in North America, Europe, and Asia-Pacific.

Reflektive

Series A in 2016
Reflektive, Inc. offers a real-time performance management platform that enhances employee performance, engagement, and analytics. Founded in 2014 and headquartered in San Francisco, the company provides tools for instant feedback, goal management, performance reviews, and check-ins, which are integrated into daily workflows to promote continuous improvement. This platform allows employees to share feedback seamlessly, fostering a culture of open communication. Reflektive also features a Calibration tool that ensures fairness and equity in performance ratings across various teams and locations. With a client base of over 450 organizations, including notable companies like Comcast and Instacart, Reflektive has positioned itself as a leader in innovative HR solutions. The company has received backing from prominent investors and has been recognized in industry reports for its contributions to human capital management.

Qubole

Series C in 2016
Qubole, Inc. is a cloud-based data platform that specializes in big data analytics, artificial intelligence, and machine learning applications. The company offers a comprehensive platform that enables provisioning, management, and scaling of data workloads on major cloud infrastructures, including Amazon Web Services, Google Cloud, and Microsoft Azure. Through its Qubole Data Service, users can access and manage big data clusters, execute queries using various programming languages, and integrate with third-party business intelligence tools. Qubole supports a range of workloads, such as extract, transform, load (ETL), ad hoc analytics, and data science, catering to data scientists, analysts, and engineers. The platform also includes features for governance and security, alongside user-friendly tools like SQL query tools, notebooks, and dashboards. Founded in 2011 and headquartered in Santa Clara, California, Qubole has additional offices in several global locations and operates as a subsidiary of IDERA, Inc.

Ascend.io

Seed Round in 2015
Ascend.io, based in Palo Alto, California, offers an advanced platform designed to streamline big data analytics and engineering workflows. The platform integrates essential capabilities such as data ingestion, transformation, delivery, orchestration, and observability into a unified solution, enabling data teams to operate significantly faster. By leveraging declarative configurations and automation, Ascend.io manages cloud infrastructure, optimizes data pipelines, and reduces maintenance throughout the data lifecycle. This innovative approach supports business managers in initiating projects and making informed decisions by simplifying connections to various applications. Recognized as a 2021 Gartner Cool Vendor, Ascend.io is supported by prominent venture capital firms and notable advisors in the tech industry.

Numerify

Series C in 2015
Trusted by leading brands, including 12 Fortune 500 enterprises, Numerify's System of Intelligence helps IT organizations plan, build, and run the systems that power more than $500B of commerce and achieve measurable ROI by becoming more efficient and agile while reducing risk and disruptions.

EverString

Series B in 2015
EverString is a provider of a cloud-based predictive analytics platform that assists companies in identifying and engaging with potential customer prospects. The platform leverages data from both online and offline sources to deliver accurate company and contact information, including firmographics and technographics. Its features encompass predictive scoring, demand generation, and advertisement targeting, enabling businesses to develop new sales pipelines and enhance conversion rates. Designed for B2B sales and marketing professionals, EverString’s solution supports pipeline growth, customer acquisition, market expansion, account prioritization, and the provision of actionable insights.

Dremio

Series A in 2015
Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a data lake engine that enhances the efficiency of data analytics. The platform allows users to execute SQL queries directly against data stored in lakes, eliminating the need for traditional data warehouses. By providing tools that streamline and curate data, Dremio accelerates analytical processes for business intelligence, data science, and machine learning applications. Its self-service capabilities empower data engineers, analysts, and scientists to work more productively and independently. Dremio's innovative approach facilitates faster access to insights, enabling organizations to derive greater value from their data without the complexities of data movement or transformation.

Qubole

Series B in 2014
Qubole, Inc. is a cloud-based data platform that specializes in big data analytics, artificial intelligence, and machine learning applications. The company offers a comprehensive platform that enables provisioning, management, and scaling of data workloads on major cloud infrastructures, including Amazon Web Services, Google Cloud, and Microsoft Azure. Through its Qubole Data Service, users can access and manage big data clusters, execute queries using various programming languages, and integrate with third-party business intelligence tools. Qubole supports a range of workloads, such as extract, transform, load (ETL), ad hoc analytics, and data science, catering to data scientists, analysts, and engineers. The platform also includes features for governance and security, alongside user-friendly tools like SQL query tools, notebooks, and dashboards. Founded in 2011 and headquartered in Santa Clara, California, Qubole has additional offices in several global locations and operates as a subsidiary of IDERA, Inc.

Gainsight

Series C in 2014
Gainsight is a technology company that specializes in customer success solutions, aimed at helping businesses improve customer retention and drive growth. Founded in 2009 and headquartered in San Francisco, the company offers a comprehensive customer cloud platform that integrates various tools focused on customer success, product experience, revenue optimization, and customer data management. Gainsight's platform enables organizations to identify at-risk customers and implement systematic processes to address their concerns, enhancing engagement efforts. This customer-centric approach allows businesses to effectively onboard and retain clients, ultimately expanding their customer base and fostering long-term relationships.

Numerify

Series B in 2014
Trusted by leading brands, including 12 Fortune 500 enterprises, Numerify's System of Intelligence helps IT organizations plan, build, and run the systems that power more than $500B of commerce and achieve measurable ROI by becoming more efficient and agile while reducing risk and disruptions.

EverString

Series A in 2014
EverString is a provider of a cloud-based predictive analytics platform that assists companies in identifying and engaging with potential customer prospects. The platform leverages data from both online and offline sources to deliver accurate company and contact information, including firmographics and technographics. Its features encompass predictive scoring, demand generation, and advertisement targeting, enabling businesses to develop new sales pipelines and enhance conversion rates. Designed for B2B sales and marketing professionals, EverString’s solution supports pipeline growth, customer acquisition, market expansion, account prioritization, and the provision of actionable insights.

Arimo

Series A in 2014
Arimo is an information technology company that specializes in the fields of big data, machine learning, business analytics, visualizations, and data intelligence. It harnesses the behaviors of machines, devices, customers, and other entities to provide the most accurate predictions utilizing Deep Learning. The company was founded in 2012 and headquartered in Mountain View, California.

AppDynamics

Series E in 2014
AppDynamics offers an observability platform that enables businesses to monitor and optimize their digital performance in real time. The platform provides an integrated suite of tools that delivers insights into application, user, and business performance, allowing organizations to make informed decisions quickly. By focusing on user interactions, AppDynamics dynamically collects millions of performance data points across applications and infrastructure, identifying performance anomalies and enabling automatic fixes. This application intelligence not only enhances customer engagement but also improves overall operational efficiency. With flexible deployment options in both cloud and on-premise environments, AppDynamics equips businesses to navigate complex software ecosystems effectively and adaptively.

MapR

Series D in 2014
MapR Technologies is a provider of a next-generation data platform designed to support AI and analytics for enterprises. The platform enables organizations to integrate analytics into their business processes, enhancing revenue, reducing costs, and addressing risks. MapR effectively manages the complexities associated with large-scale distributed processing, covering various environments from the cloud to edge computing and IoT analytics. The company's offerings include real-time database capabilities and enterprise-grade data protection, ensuring business continuity and facilitating the digital transformation of data across sectors such as marketing, security, and IT operations. A range of prominent companies, including Amazon, Cisco, Google, Microsoft, and SAP, rely on the MapR Data Platform to tackle their most intricate challenges in AI and analytics.

ThoughtSpot

Series B in 2014
ThoughtSpot, Inc. specializes in search-driven analytics for enterprises, providing a platform that enables users to analyze complex data through an intuitive natural language search interface. Founded in 2012 and headquartered in Sunnyvale, California, the company offers tools for generating instant charts, building reports, and sharing insights across various sectors, including retail, healthcare, and financial services. Its AI-native platform empowers users to uncover actionable insights quickly, facilitating data-driven decision-making. The technology connects seamlessly with diverse data sources, whether on-premise or cloud-based, allowing businesses to manage and analyze large-scale enterprise data efficiently. ThoughtSpot has established strategic partnerships and serves notable clients that leverage its capabilities to enhance operational outcomes. Additionally, the company provides a low-code solution for developers to integrate analytics directly into their products. With locations in multiple countries, ThoughtSpot is expanding its reach in North America, Europe, and Asia-Pacific.

Origami Logic

Series B in 2014
Origami Logic, Inc. is a marketing analytics company based in Mountain View, California, that offers a platform for measuring and optimizing marketing campaign investments across various channels. Founded in 2011, the company provides solutions that enable marketers to unify and analyze vast amounts of data from both online and offline marketing efforts, including web, email, social media, search, and video. By allowing users to search and organize their data in real-time, Origami Logic helps teams understand their marketing performance and identify areas for improvement. The company serves a diverse clientele, including well-known brands such as Procter & Gamble, HP, JCPenney, Intel, and Omni Hotels. In 2019, Origami Logic became a subsidiary of Intuit Inc. and is backed by prominent investors such as Accel Partners, Icon Ventures, NextWorld Capital, DAG Ventures, and Lightspeed Venture Partners.

Numerify

Series A in 2013
Trusted by leading brands, including 12 Fortune 500 enterprises, Numerify's System of Intelligence helps IT organizations plan, build, and run the systems that power more than $500B of commerce and achieve measurable ROI by becoming more efficient and agile while reducing risk and disruptions.

Zest AI

Series C in 2013
Zest AI develops an artificial intelligence-based platform aimed at improving credit underwriting processes. Founded in 2009 and based in Burbank, California, the company utilizes advanced machine learning techniques to analyze large volumes of credit data, enhancing approval rates while minimizing the risk of erroneous credit decisions. By providing a transparent and fair approach to credit, Zest AI enables lenders to make informed decisions, ultimately expanding access to credit for a broader range of consumers. The platform also includes features that help lenders comply with regulatory standards by explaining data modeling results and measuring business impact. Through its technology, Zest AI helps clients offer better loans at lower prices, thereby increasing revenue and automating compliance efforts.

MapR

Series C in 2013
MapR Technologies is a provider of a next-generation data platform designed to support AI and analytics for enterprises. The platform enables organizations to integrate analytics into their business processes, enhancing revenue, reducing costs, and addressing risks. MapR effectively manages the complexities associated with large-scale distributed processing, covering various environments from the cloud to edge computing and IoT analytics. The company's offerings include real-time database capabilities and enterprise-grade data protection, ensuring business continuity and facilitating the digital transformation of data across sectors such as marketing, security, and IT operations. A range of prominent companies, including Amazon, Cisco, Google, Microsoft, and SAP, rely on the MapR Data Platform to tackle their most intricate challenges in AI and analytics.

Insightera

Series A in 2013
Insightera operates a real-time inbound marketing platform designed to enhance B2B customer acquisition. The company utilizes machine learning algorithms and software to enable marketers to personalize the onsite experience for their users. By leveraging existing assets, Insightera's technology accelerates engagement and conversion, allowing businesses to optimize their marketing strategies effectively.

Personetics

Series B in 2013
Personetics Technologies Ltd. is a provider of customer interaction technology specifically designed for the financial services industry. Established in 2010 and headquartered in White Plains, New York, with additional offices in Tel Aviv and Singapore, the company offers various solutions to enhance customer experiences. Its flagship product, Personetics Digital Banker, utilizes customer profiles and automated intelligence to facilitate customer-centric processes across multiple channels, including web, mobile, and text banking. The company’s offerings also include Personetics Anywhere, which enables personalized assistance through messaging platforms, and Self-Driving Finance, an engagement platform that supports customers in managing their finances. By leveraging a real-time analytics engine, Personetics helps financial institutions convert passive digital users into active participants while improving customer experiences and reducing operational costs.

EdgeSpring

Series A in 2013
EdgeSpring is a business intelligence platform that specializes in visual analytics and enterprise-level analytics technology. The platform empowers users to make informed decisions by facilitating the exploration and analysis of both structured and semi-structured data. By allowing users to pose and answer complex questions, EdgeSpring aims to enhance the decision-making process within organizations.

Qubole

Series A in 2013
Qubole, Inc. is a cloud-based data platform that specializes in big data analytics, artificial intelligence, and machine learning applications. The company offers a comprehensive platform that enables provisioning, management, and scaling of data workloads on major cloud infrastructures, including Amazon Web Services, Google Cloud, and Microsoft Azure. Through its Qubole Data Service, users can access and manage big data clusters, execute queries using various programming languages, and integrate with third-party business intelligence tools. Qubole supports a range of workloads, such as extract, transform, load (ETL), ad hoc analytics, and data science, catering to data scientists, analysts, and engineers. The platform also includes features for governance and security, alongside user-friendly tools like SQL query tools, notebooks, and dashboards. Founded in 2011 and headquartered in Santa Clara, California, Qubole has additional offices in several global locations and operates as a subsidiary of IDERA, Inc.

Evolv

Series D in 2013
Evolv is a big data company that helps solve workforce performance issues for the C-suite by utilizing a configurable cloud services platform. Evolv's patent-pending technology platform unifies and supplements existing data from current systems, then utilizes that dataset to identify fact-based workforce insights that drive measurable ROI. By using objective, data-driven methodology, Evolv helps companies uncover the core reasons behind workforce performance, enabling executives to make better operational business decisions that generally result in tens of millions of dollars in measureable value per year.

AppDynamics

Series D in 2013
AppDynamics offers an observability platform that enables businesses to monitor and optimize their digital performance in real time. The platform provides an integrated suite of tools that delivers insights into application, user, and business performance, allowing organizations to make informed decisions quickly. By focusing on user interactions, AppDynamics dynamically collects millions of performance data points across applications and infrastructure, identifying performance anomalies and enabling automatic fixes. This application intelligence not only enhances customer engagement but also improves overall operational efficiency. With flexible deployment options in both cloud and on-premise environments, AppDynamics equips businesses to navigate complex software ecosystems effectively and adaptively.

Zest AI

Series B in 2012
Zest AI develops an artificial intelligence-based platform aimed at improving credit underwriting processes. Founded in 2009 and based in Burbank, California, the company utilizes advanced machine learning techniques to analyze large volumes of credit data, enhancing approval rates while minimizing the risk of erroneous credit decisions. By providing a transparent and fair approach to credit, Zest AI enables lenders to make informed decisions, ultimately expanding access to credit for a broader range of consumers. The platform also includes features that help lenders comply with regulatory standards by explaining data modeling results and measuring business impact. Through its technology, Zest AI helps clients offer better loans at lower prices, thereby increasing revenue and automating compliance efforts.

Origami Logic

Series A in 2012
Origami Logic, Inc. is a marketing analytics company based in Mountain View, California, that offers a platform for measuring and optimizing marketing campaign investments across various channels. Founded in 2011, the company provides solutions that enable marketers to unify and analyze vast amounts of data from both online and offline marketing efforts, including web, email, social media, search, and video. By allowing users to search and organize their data in real-time, Origami Logic helps teams understand their marketing performance and identify areas for improvement. The company serves a diverse clientele, including well-known brands such as Procter & Gamble, HP, JCPenney, Intel, and Omni Hotels. In 2019, Origami Logic became a subsidiary of Intuit Inc. and is backed by prominent investors such as Accel Partners, Icon Ventures, NextWorld Capital, DAG Ventures, and Lightspeed Venture Partners.

ThoughtSpot

Series A in 2012
ThoughtSpot, Inc. specializes in search-driven analytics for enterprises, providing a platform that enables users to analyze complex data through an intuitive natural language search interface. Founded in 2012 and headquartered in Sunnyvale, California, the company offers tools for generating instant charts, building reports, and sharing insights across various sectors, including retail, healthcare, and financial services. Its AI-native platform empowers users to uncover actionable insights quickly, facilitating data-driven decision-making. The technology connects seamlessly with diverse data sources, whether on-premise or cloud-based, allowing businesses to manage and analyze large-scale enterprise data efficiently. ThoughtSpot has established strategic partnerships and serves notable clients that leverage its capabilities to enhance operational outcomes. Additionally, the company provides a low-code solution for developers to integrate analytics directly into their products. With locations in multiple countries, ThoughtSpot is expanding its reach in North America, Europe, and Asia-Pacific.

WeFi

Venture Round in 2012
WeFi is a mobile data analytics company that specializes in providing insights into app usage, user engagement, and behavior patterns. Utilizing its patented technology and the industry's largest mobile usage database, which processes billions of records daily, WeFi delivers valuable business intelligence to various clients, including wireless carriers, cable operators, content providers, and application developers. This information helps these businesses enhance user experiences, optimize network performance, predict data consumption trends, understand consumer behavior, and devise more effective marketing strategies. By focusing on Wi-Fi connectivity and mobile big data analytics, WeFi aims to empower its clients with the tools necessary to make informed decisions and improve their services.

Zest AI

Series B in 2012
Zest AI develops an artificial intelligence-based platform aimed at improving credit underwriting processes. Founded in 2009 and based in Burbank, California, the company utilizes advanced machine learning techniques to analyze large volumes of credit data, enhancing approval rates while minimizing the risk of erroneous credit decisions. By providing a transparent and fair approach to credit, Zest AI enables lenders to make informed decisions, ultimately expanding access to credit for a broader range of consumers. The platform also includes features that help lenders comply with regulatory standards by explaining data modeling results and measuring business impact. Through its technology, Zest AI helps clients offer better loans at lower prices, thereby increasing revenue and automating compliance efforts.

AppDynamics

Series C in 2012
AppDynamics offers an observability platform that enables businesses to monitor and optimize their digital performance in real time. The platform provides an integrated suite of tools that delivers insights into application, user, and business performance, allowing organizations to make informed decisions quickly. By focusing on user interactions, AppDynamics dynamically collects millions of performance data points across applications and infrastructure, identifying performance anomalies and enabling automatic fixes. This application intelligence not only enhances customer engagement but also improves overall operational efficiency. With flexible deployment options in both cloud and on-premise environments, AppDynamics equips businesses to navigate complex software ecosystems effectively and adaptively.

MapR

Series B in 2011
MapR Technologies is a provider of a next-generation data platform designed to support AI and analytics for enterprises. The platform enables organizations to integrate analytics into their business processes, enhancing revenue, reducing costs, and addressing risks. MapR effectively manages the complexities associated with large-scale distributed processing, covering various environments from the cloud to edge computing and IoT analytics. The company's offerings include real-time database capabilities and enterprise-grade data protection, ensuring business continuity and facilitating the digital transformation of data across sectors such as marketing, security, and IT operations. A range of prominent companies, including Amazon, Cisco, Google, Microsoft, and SAP, rely on the MapR Data Platform to tackle their most intricate challenges in AI and analytics.

Zest AI

Series A in 2011
Zest AI develops an artificial intelligence-based platform aimed at improving credit underwriting processes. Founded in 2009 and based in Burbank, California, the company utilizes advanced machine learning techniques to analyze large volumes of credit data, enhancing approval rates while minimizing the risk of erroneous credit decisions. By providing a transparent and fair approach to credit, Zest AI enables lenders to make informed decisions, ultimately expanding access to credit for a broader range of consumers. The platform also includes features that help lenders comply with regulatory standards by explaining data modeling results and measuring business impact. Through its technology, Zest AI helps clients offer better loans at lower prices, thereby increasing revenue and automating compliance efforts.

Evolv

Series C in 2011
Evolv is a big data company that helps solve workforce performance issues for the C-suite by utilizing a configurable cloud services platform. Evolv's patent-pending technology platform unifies and supplements existing data from current systems, then utilizes that dataset to identify fact-based workforce insights that drive measurable ROI. By using objective, data-driven methodology, Evolv helps companies uncover the core reasons behind workforce performance, enabling executives to make better operational business decisions that generally result in tens of millions of dollars in measureable value per year.

EdgeSpring

Seed Round in 2010
EdgeSpring is a business intelligence platform that specializes in visual analytics and enterprise-level analytics technology. The platform empowers users to make informed decisions by facilitating the exploration and analysis of both structured and semi-structured data. By allowing users to pose and answer complex questions, EdgeSpring aims to enhance the decision-making process within organizations.

AppDynamics

Series B in 2010
AppDynamics offers an observability platform that enables businesses to monitor and optimize their digital performance in real time. The platform provides an integrated suite of tools that delivers insights into application, user, and business performance, allowing organizations to make informed decisions quickly. By focusing on user interactions, AppDynamics dynamically collects millions of performance data points across applications and infrastructure, identifying performance anomalies and enabling automatic fixes. This application intelligence not only enhances customer engagement but also improves overall operational efficiency. With flexible deployment options in both cloud and on-premise environments, AppDynamics equips businesses to navigate complex software ecosystems effectively and adaptively.

WeFi

Series B in 2009
WeFi is a mobile data analytics company that specializes in providing insights into app usage, user engagement, and behavior patterns. Utilizing its patented technology and the industry's largest mobile usage database, which processes billions of records daily, WeFi delivers valuable business intelligence to various clients, including wireless carriers, cable operators, content providers, and application developers. This information helps these businesses enhance user experiences, optimize network performance, predict data consumption trends, understand consumer behavior, and devise more effective marketing strategies. By focusing on Wi-Fi connectivity and mobile big data analytics, WeFi aims to empower its clients with the tools necessary to make informed decisions and improve their services.

MapR

Series A in 2009
MapR Technologies is a provider of a next-generation data platform designed to support AI and analytics for enterprises. The platform enables organizations to integrate analytics into their business processes, enhancing revenue, reducing costs, and addressing risks. MapR effectively manages the complexities associated with large-scale distributed processing, covering various environments from the cloud to edge computing and IoT analytics. The company's offerings include real-time database capabilities and enterprise-grade data protection, ensuring business continuity and facilitating the digital transformation of data across sectors such as marketing, security, and IT operations. A range of prominent companies, including Amazon, Cisco, Google, Microsoft, and SAP, rely on the MapR Data Platform to tackle their most intricate challenges in AI and analytics.

AppDynamics

Series A in 2008
AppDynamics offers an observability platform that enables businesses to monitor and optimize their digital performance in real time. The platform provides an integrated suite of tools that delivers insights into application, user, and business performance, allowing organizations to make informed decisions quickly. By focusing on user interactions, AppDynamics dynamically collects millions of performance data points across applications and infrastructure, identifying performance anomalies and enabling automatic fixes. This application intelligence not only enhances customer engagement but also improves overall operational efficiency. With flexible deployment options in both cloud and on-premise environments, AppDynamics equips businesses to navigate complex software ecosystems effectively and adaptively.

Evolv

Series A in 2008
Evolv is a big data company that helps solve workforce performance issues for the C-suite by utilizing a configurable cloud services platform. Evolv's patent-pending technology platform unifies and supplements existing data from current systems, then utilizes that dataset to identify fact-based workforce insights that drive measurable ROI. By using objective, data-driven methodology, Evolv helps companies uncover the core reasons behind workforce performance, enabling executives to make better operational business decisions that generally result in tens of millions of dollars in measureable value per year.

Star Analytics

Series A in 2007
Star Analytics is a market leader in process automation and application integration across hybrid computing environments with products that address the automation and integration requirements of business intelligence software. Star's technology is deployed across industries and at a wide range of Fortune 500 enterprise companies. Star Command Center (SCC) introduces simplicity and control to the automated processes that support your applications. Star Command Center is uniquely positioned to address automation challenges between hybrid computing environments and a heterogeneous mix of applications. Star Integration Server (SIS) is a data bridge that extracts key business data, metadata and security from Oracle Essbase, Oracle Hyperion Planning and Oracle Hyperion Financial Management. This in turn enables the data to be used with a variety of reporting applications and data warehouses. Star Integration Server extends your EPM investment and enables a standardized corporate reporting standard. Star Analytics, Inc. was founded in 2004 and is based in San Mateo, California. To find out more go to: http://staranalytics.com/solutions/

WeFi

Series A in 2007
WeFi is a mobile data analytics company that specializes in providing insights into app usage, user engagement, and behavior patterns. Utilizing its patented technology and the industry's largest mobile usage database, which processes billions of records daily, WeFi delivers valuable business intelligence to various clients, including wireless carriers, cable operators, content providers, and application developers. This information helps these businesses enhance user experiences, optimize network performance, predict data consumption trends, understand consumer behavior, and devise more effective marketing strategies. By focusing on Wi-Fi connectivity and mobile big data analytics, WeFi aims to empower its clients with the tools necessary to make informed decisions and improve their services.

SayHired

Seed Round in 2007
SayHired facilitates the recruiting process by efficiently screening candidates for their sales abilities. Candidates apply to positions by recording responses to pitch prompts and/or question sets curated by recruiters. The responses are analyzed by our patent-pending engine for the qualities that the recruiter feels are most important to the position. Responses are ranked on a scale of 100 for each individual characteristic. Some examples of characteristics used to determine if a candidate is a good salesperson are empathy, friendliness, persuasiveness, or knowledgeability, among others. Once the scores have been released, both the candidate and the recruiter are able to view them. This way the candidate can learn from their previous applications to continually improve their sales abilities, while the recruiter can choose the best candidate for the position based on their scores. With SayHired, job applications go beyond the resume.
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