Lightspeed Venture Partners

Nirvana Insurance is an AI-driven commercial trucking insurer that utilizes telematics data to enhance safety and reduce fleet costs. The company leverages artificial intelligence and telematics data to offer personalized insurance solutions that reward safe driving practices. Nirvana provides tailored policies for both fleet and non-fleet operators, including options such as auto liability, auto physical damage, general liability, and motor truck cargo coverage. By analyzing telematics data, Nirvana offers upfront discounts of up to 20% for safe driving behaviors. Their Safety Intelligence Platform delivers AI-powered insights to help fleets enhance safety and efficiency. Utilizing real-time data, Nirvana streamlines the claims process, enabling faster resolutions and reducing downtime for drivers.

Distyl AI specializes in helping organizations enhance their readiness for artificial intelligence by developing customized AI solutions that align with their specific data, workflows, and workforce needs. The company offers a generative AI solutions platform that supports major institutions in adopting foundational models and preparing for AI integration. By collaborating with leading organizations globally, Distyl AI aims to create reliable and seamlessly integrated AI-driven services, enabling enterprises to thrive in an increasingly AI-assisted economy.

Glean develops AI-based search engine software that facilitates access to enterprise data, enabling employees to efficiently find information and generate answers. Its primary product, Workplace Search, serves as an enterprise search platform that integrates with various internal data sources, allowing users to obtain relevant search results from multiple applications based on specific keywords. By employing advanced search techniques, retrieval augmented generation, and large language models, Glean's platform delivers personalized answers that are contextually grounded, enhancing productivity and information retrieval within organizations.

Contextual AI offers a pioneering approach to generative AI for the workplace.

Patronus AI operates as an automated evaluation and security platform. The company's platform includes an artificial intelligence-powered engine for creating a security and analysis framework for testing massive language models to discover potential problems, providing clients with a package of security solutions that can be tailored to their individual requirements.

Suno is a music start-up focused on empowering individuals to create their own songs through an innovative generative AI platform. The company provides tools that allow users to generate unique tunes with distinct lyrics by leveraging various genres and vibes, rather than relying on specific artist names. Suno's mission is to facilitate a process of play and exploration in music creation, making it accessible for everyone to rediscover the joy of songwriting.

Xaira Therapeutics is an integrated biotechnology company focused on revolutionizing drug discovery and development through the application of artificial intelligence. Headquartered in the San Francisco Bay Area, Xaira combines expertise in machine learning, extensive biological and clinical data generation, and robust therapeutic product development. By harnessing advanced AI techniques, the company aims to enhance the understanding of biological processes and improve the effectiveness of therapies. Xaira's approach encompasses all stages of drug discovery, striving to transform how diseases are treated and enabling clients to deliver innovative therapeutic solutions.

Glean develops AI-based search engine software that facilitates access to enterprise data, enabling employees to efficiently find information and generate answers. Its primary product, Workplace Search, serves as an enterprise search platform that integrates with various internal data sources, allowing users to obtain relevant search results from multiple applications based on specific keywords. By employing advanced search techniques, retrieval augmented generation, and large language models, Glean's platform delivers personalized answers that are contextually grounded, enhancing productivity and information retrieval within organizations.

Intenseye Inc. is a technology company based in San Jose, California, founded in 2018, specializing in AI-powered video analytics for occupational health and safety. The platform enables enterprises to monitor their facilities continuously by utilizing existing cameras to conduct automated inspections without the need for additional hardware. Through advanced computer vision and machine learning, Intenseye's software analyzes real-time video feeds to identify safety violations, such as improper use of personal protective equipment and hazardous conditions. This capability allows health and safety teams to receive immediate notifications of potential risks, facilitating rapid response measures. Importantly, Intenseye's system is designed to protect worker privacy by not capturing personally identifiable information. The company aims to enhance workplace safety while providing clients with scalable and effective tools to mitigate accidents and improve overall operational safety.

Marqo is a vector search platform equipped with the essential machine learning capabilities and infrastructure required for deploying the next wave of AI-driven search. Managing the entire process from vector creation to storage and retrieval, Marqo facilitates the effortless integration of multimodal, multilingual search via a unified API. At the core of Marqo's methodology lies a proprietary inference engine, transforming unstructured data into highly efficient vectors that deliver relevant search outcomes in real time.

Mistral AI is a company focused on developing advanced artificial intelligence solutions, particularly in the realm of open-source models. It specializes in creating customizable and compute-efficient large language models that facilitate a range of applications, including natural language processing and complex problem-solving. Mistral AI aims to foster safe artificial general intelligence that benefits all users, allowing businesses and organizations to harness AI technology without the burden of building and maintaining their own models. Through a community-driven development approach, Mistral AI seeks to enhance efficiency, innovation, and decision-making for its clients.

Sarvam AI focuses on advancing artificial intelligence research to enhance the performance, reliability, and affordability of generative AI application development in India. The company develops sophisticated large language models tailored to the country's diverse linguistic environment, providing a user-friendly platform for creating and assessing generative AI applications. Sarvam AI emphasizes open-source collaboration, allowing businesses to leverage modern AI technology to gain a competitive advantage in their respective markets.

Sarvam AI focuses on advancing artificial intelligence research to enhance the performance, reliability, and affordability of generative AI application development in India. The company develops sophisticated large language models tailored to the country's diverse linguistic environment, providing a user-friendly platform for creating and assessing generative AI applications. Sarvam AI emphasizes open-source collaboration, allowing businesses to leverage modern AI technology to gain a competitive advantage in their respective markets.

Seismic Therapeutic is a biotechnology company focused on accelerating immunology drug development through the integration of machine learning in the biologics discovery process. Its IMPACT™ platform addresses key challenges in biologics discovery by combining structural biology, protein engineering, and translational immunology. This innovative approach aims to create optimized therapies more efficiently, ultimately benefiting patients with autoimmune diseases and disorders linked to adaptive immune system dysregulation. With a robust pipeline of biologics, Seismic Therapeutic is committed to enhancing the speed and efficacy of drug development in the field of immunology.

Radiant Security is a provider of autonomous Managed Detection and Response (MDR) solutions that leverage machine learning and artificial intelligence to streamline security operations. Its software automates the triage and investigation of security incidents, achieving a level of consistency and accuracy that significantly eases the workload of security analysts, reducing it by up to 95%. The solution can be deployed quickly through an API, allowing organizations to realize immediate benefits and efficiencies. By utilizing a knowledge graph that continuously learns about an organization’s security environment, Radiant Security's technology mimics the decision-making processes of experienced analysts. This innovative approach not only enhances the speed and effectiveness of incident response but also lowers the overall costs associated with security operations, enabling organizations to allocate resources to other critical initiatives.

Nirvana Insurance is an AI-driven commercial trucking insurer that utilizes telematics data to enhance safety and reduce fleet costs. The company leverages artificial intelligence and telematics data to offer personalized insurance solutions that reward safe driving practices. Nirvana provides tailored policies for both fleet and non-fleet operators, including options such as auto liability, auto physical damage, general liability, and motor truck cargo coverage. By analyzing telematics data, Nirvana offers upfront discounts of up to 20% for safe driving behaviors. Their Safety Intelligence Platform delivers AI-powered insights to help fleets enhance safety and efficiency. Utilizing real-time data, Nirvana streamlines the claims process, enabling faster resolutions and reducing downtime for drivers.

Patronus AI operates as an automated evaluation and security platform. The company's platform includes an artificial intelligence-powered engine for creating a security and analysis framework for testing massive language models to discover potential problems, providing clients with a package of security solutions that can be tailored to their individual requirements.

Portkey enables businesses to design, deploy, maintain, and improve their generative AI apps and features more quickly, through a quick integration, businesses may add observability, model management, experimentation, and compliance to their products.

Endor Labs specializes in enhancing application security by managing open-source software dependencies. The company provides a Dependency Lifecycle Management Platform designed to tackle vulnerabilities within the software supply chain, particularly the unmanaged proliferation of open-source software in enterprises. By streamlining the selection, security, and maintenance of software dependencies, Endor Labs aids developers in adopting safe open-source solutions, thereby accelerating development processes and reducing the time spent on security issues. The platform supports clients in maximizing code reuse and implementing microservices architectures, ultimately simplifying the complexities associated with software engineering.

Inworld AI is an AI framework powering massive consumer applications. Inworld is funded by VCs including Lightspeed, Stanford University, Kleiner Perkins, Founders Fund, Section 32, M12, Intel Capital, CRV, Bitkraft, and Meta, as well as a team of all-star angels including corporate executives, top VC funds' partners, scouts, and industry veterans.

AI4Bhrat is focused on developing open-source language AI for Indian languages, including datasets, models, and applications.

Mistral AI is a company focused on developing advanced artificial intelligence solutions, particularly in the realm of open-source models. It specializes in creating customizable and compute-efficient large language models that facilitate a range of applications, including natural language processing and complex problem-solving. Mistral AI aims to foster safe artificial general intelligence that benefits all users, allowing businesses and organizations to harness AI technology without the burden of building and maintaining their own models. Through a community-driven development approach, Mistral AI seeks to enhance efficiency, innovation, and decision-making for its clients.

Contextual AI offers a pioneering approach to generative AI for the workplace.

Langfuse is a developer of an open-source analytics platform specifically designed for large language model (LLM) applications. The platform offers tools for observability and analytics, allowing users to explore and debug complex logs and traces through a visual interface. It provides insights that help companies monitor and enhance the quality, cost, and latency of their applications across different product releases and use cases. By unifying the monetization stack, Langfuse enables organizations to understand production dynamics and utilize data-driven insights to improve their applications effectively.

Tome is a company that transforms the sales process for teams by utilizing custom language models to enhance productivity at every stage of sales. The platform aids sales representatives in building qualified pipelines through detailed account research, value hypotheses, and automated outreach. It accelerates existing sales efforts by providing automated call summaries, updated account plans, CRM synchronization, and auto-generated marketing collateral. Additionally, Tome offers insights that help optimize sales strategies, enabling teams to identify effective messaging and features that lead to quicker, larger deals. By streamlining repetitive tasks, Tome allows account executives to focus more on customer interactions, while sales leaders benefit from improved pipeline quality and deal closure rates. Revenue operations leaders can trust that their systems are functioning efficiently, maximizing the potential of their sales processes.

circle labs is a platform that enables anyone to create their own virtual characters powered by AI.

Endor Labs specializes in enhancing application security by managing open-source software dependencies. The company provides a Dependency Lifecycle Management Platform designed to tackle vulnerabilities within the software supply chain, particularly the unmanaged proliferation of open-source software in enterprises. By streamlining the selection, security, and maintenance of software dependencies, Endor Labs aids developers in adopting safe open-source solutions, thereby accelerating development processes and reducing the time spent on security issues. The platform supports clients in maximizing code reuse and implementing microservices architectures, ultimately simplifying the complexities associated with software engineering.

Balance is a digital payments platform that enhances the B2B online purchasing experience for both buyers and vendors. Founded in 2019 and headquartered in Tel Aviv, Israel, the company offers a sophisticated checkout platform that leverages a machine learning engine for real-time authentication and financial risk assessment. This technology provides businesses with the flexibility to manage payments according to their needs, streamlining the transaction process and improving overall efficiency. Balance aims to create a more enjoyable and secure purchasing environment in the B2B sector.

Glean develops AI-based search engine software that facilitates access to enterprise data, enabling employees to efficiently find information and generate answers. Its primary product, Workplace Search, serves as an enterprise search platform that integrates with various internal data sources, allowing users to obtain relevant search results from multiple applications based on specific keywords. By employing advanced search techniques, retrieval augmented generation, and large language models, Glean's platform delivers personalized answers that are contextually grounded, enhancing productivity and information retrieval within organizations.

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 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.

Nirvana Insurance is an AI-driven commercial trucking insurer that utilizes telematics data to enhance safety and reduce fleet costs. The company leverages artificial intelligence and telematics data to offer personalized insurance solutions that reward safe driving practices. Nirvana provides tailored policies for both fleet and non-fleet operators, including options such as auto liability, auto physical damage, general liability, and motor truck cargo coverage. By analyzing telematics data, Nirvana offers upfront discounts of up to 20% for safe driving behaviors. Their Safety Intelligence Platform delivers AI-powered insights to help fleets enhance safety and efficiency. Utilizing real-time data, Nirvana streamlines the claims process, enabling faster resolutions and reducing downtime for drivers.

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.

Darwinbox is a prominent provider of cloud-based Human Resources Management Software (HRMS) that aims to transform workforce and technology interactions. Founded in 2015, the platform serves mid to large-sized enterprises by offering a comprehensive suite of features designed to enhance employee engagement throughout the entire employee lifecycle, from hiring to retirement. With a user-friendly interface and fast implementation cycles, Darwinbox incorporates advanced technologies such as artificial intelligence and machine learning, enabling functionalities like e-onboarding, continuous feedback, and performance analytics. The platform is utilized by over 350 global enterprises, including notable companies like Arvind, Dr. Reddy's, and Swiggy, and is trusted by more than 850,000 employees. Recognized in the APAC region as a preferred human capital management platform, Darwinbox has garnered support from investors such as Sequoia Capital and Lightspeed.

Apex.AI, Inc. is a software company that focuses on developing solutions for autonomous mobility systems, particularly self-driving vehicles. Founded in 2017 and based in Palo Alto, California, the company offers Apex.OS, a software framework that simplifies the complexity of hardware and software integration through user-friendly APIs. Additionally, Apex.AI provides Apex.Autonomy, which is tailored for safety-critical applications, and MARV.Automotive, a versatile data management platform that facilitates data transfer between vehicles and the cloud. This platform allows for advanced analytics, data introspection, and team collaboration. Apex.AI's software products leverage open-source technologies, enabling developers to create secure and efficient applications for autonomous vehicles.

Kodiak Robotics, Inc. is focused on developing autonomous technology specifically for long-haul trucking. Founded in 2018 and based in Mountain View, California, the company specializes in creating self-driving trucks designed to operate on highway routes. Kodiak Robotics employs advanced sensor fusion systems and innovative mapping solutions to enable its vehicles to manage all aspects of highway driving. This technology aims to enhance network efficiency and reduce operational costs for businesses in the logistics sector.

Geniebook is an online learning platform designed to enhance student learning and revision through the use of artificial intelligence. The platform personalizes educational content by providing targeted questions and answers that address individual students' weaknesses, thereby facilitating more effective study sessions. Additionally, Geniebook generates detailed progress reports, allowing parents to monitor their child's academic development and assign appropriate practice materials. By fostering a clear understanding of learning progress and rewarding improvements, Geniebook aims to empower students to master challenging subjects confidently, anytime and anywhere.

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.

LeapYear specializes in developing technology that allows enterprises to harness the value of sensitive data while ensuring its security. The company's platform employs differential privacy, a proven mathematical standard, to facilitate the use of data for machine learning without risking exposure or exploitation. By integrating advanced techniques in machine learning and cryptography, LeapYear enables organizations to analyze and monetize previously restricted data sources. It has established partnerships with major companies across various sectors, including financial services, healthcare, technology, and insurance, to support the secure combination and analysis of siloed information.

Balance is a digital payments platform that enhances the B2B online purchasing experience for both buyers and vendors. Founded in 2019 and headquartered in Tel Aviv, Israel, the company offers a sophisticated checkout platform that leverages a machine learning engine for real-time authentication and financial risk assessment. This technology provides businesses with the flexibility to manage payments according to their needs, streamlining the transaction process and improving overall efficiency. Balance aims to create a more enjoyable and secure purchasing environment in the B2B sector.

Market AI has been acquired by Verishop Group! Learn more about Verishop Group: https://www.verishopgroup.com/

Snorkel AI, Inc. is a company that develops a comprehensive machine-learning platform designed to facilitate the creation, management, and monitoring of AI applications. Its primary offering, Snorkel Flow, allows users to programmatically label and augment training data, manage and integrate various datasets, and deploy machine learning models, while also providing tools for data analysis and monitoring. The platform is particularly effective in extracting structured information from complex documents and forms, as well as ranking content based on relevance. Founded in 2016 and based in Palo Alto, California, Snorkel AI serves a diverse range of industries, including finance, government, telecommunications, insurance, healthcare, and e-commerce. The technology was developed at Stanford AI Lab and employs innovative methods such as weak supervision to enhance data preparation, thereby streamlining the AI development process for enterprises.

Moveworks, Inc. develops a cloud-based AI platform that assists enterprises in resolving IT support issues for their employees. Founded in 2016 and headquartered in Mountain View, California, with an additional office in Culver City, the company offers an AI assistant that automates various tasks, such as ordering hardware, raising software requests, and managing ticket statuses. Utilizing a conversational interface, Moveworks interprets complex employee requests and executes multi-step processes, adapting based on previous interactions. Its technology is employed by organizations like Databricks, Broadcom, Hearst, and Palo Alto Networks to enhance productivity, streamline workflows, and improve information retrieval across enterprise systems. The platform integrates with chat applications, such as Slack, to provide seamless user experiences and automatic solutions.

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).

Snorkel AI, Inc. is a company that develops a comprehensive machine-learning platform designed to facilitate the creation, management, and monitoring of AI applications. Its primary offering, Snorkel Flow, allows users to programmatically label and augment training data, manage and integrate various datasets, and deploy machine learning models, while also providing tools for data analysis and monitoring. The platform is particularly effective in extracting structured information from complex documents and forms, as well as ranking content based on relevance. Founded in 2016 and based in Palo Alto, California, Snorkel AI serves a diverse range of industries, including finance, government, telecommunications, insurance, healthcare, and e-commerce. The technology was developed at Stanford AI Lab and employs innovative methods such as weak supervision to enhance data preparation, thereby streamlining the AI development process for enterprises.

Glean develops AI-based search engine software that facilitates access to enterprise data, enabling employees to efficiently find information and generate answers. Its primary product, Workplace Search, serves as an enterprise search platform that integrates with various internal data sources, allowing users to obtain relevant search results from multiple applications based on specific keywords. By employing advanced search techniques, retrieval augmented generation, and large language models, Glean's platform delivers personalized answers that are contextually grounded, enhancing productivity and information retrieval within organizations.

Balance is a digital payments platform that enhances the B2B online purchasing experience for both buyers and vendors. Founded in 2019 and headquartered in Tel Aviv, Israel, the company offers a sophisticated checkout platform that leverages a machine learning engine for real-time authentication and financial risk assessment. This technology provides businesses with the flexibility to manage payments according to their needs, streamlining the transaction process and improving overall efficiency. Balance aims to create a more enjoyable and secure purchasing environment in the B2B sector.

Darwinbox is a prominent provider of cloud-based Human Resources Management Software (HRMS) that aims to transform workforce and technology interactions. Founded in 2015, the platform serves mid to large-sized enterprises by offering a comprehensive suite of features designed to enhance employee engagement throughout the entire employee lifecycle, from hiring to retirement. With a user-friendly interface and fast implementation cycles, Darwinbox incorporates advanced technologies such as artificial intelligence and machine learning, enabling functionalities like e-onboarding, continuous feedback, and performance analytics. The platform is utilized by over 350 global enterprises, including notable companies like Arvind, Dr. Reddy's, and Swiggy, and is trusted by more than 850,000 employees. Recognized in the APAC region as a preferred human capital management platform, Darwinbox has garnered support from investors such as Sequoia Capital and Lightspeed.

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.

Nirvana Insurance is an AI-driven commercial trucking insurer that utilizes telematics data to enhance safety and reduce fleet costs. The company leverages artificial intelligence and telematics data to offer personalized insurance solutions that reward safe driving practices. Nirvana provides tailored policies for both fleet and non-fleet operators, including options such as auto liability, auto physical damage, general liability, and motor truck cargo coverage. By analyzing telematics data, Nirvana offers upfront discounts of up to 20% for safe driving behaviors. Their Safety Intelligence Platform delivers AI-powered insights to help fleets enhance safety and efficiency. Utilizing real-time data, Nirvana streamlines the claims process, enabling faster resolutions and reducing downtime for drivers.

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.

Rephrase.ai specializes in an AI-powered video creation technology that transforms text into animated videos featuring realistic facial representations of individuals. This innovative approach employs generative AI to analyze and learn the facial features of specific people in relation to spoken audio, allowing the system to create photorealistic visuals for any new text or audio input. The platform serves a variety of applications, enabling clients to produce training videos, personalize sales presentations, animate characters in augmented and virtual reality, and provide a visual identity for digital assistants. Through its advanced technology, Rephrase.ai enhances the way organizations communicate and engage with their audiences.

NextBillion.ai specializes in providing AI-driven hyperlocal solutions, with a primary focus on enhancing mapping technology. The company develops a spatial data platform that assists enterprises in managing location data and adopting an AI-first approach across various applications and regions. Targeting complex markets such as India, Indonesia, and Nigeria, NextBillion.ai addresses challenges posed by underdeveloped infrastructure, intricate address systems, and dynamic road networks. By combining data, artificial intelligence, and innovative technology, the company empowers clients to optimize routing, scheduling, and dispatch processes, ultimately enabling them to overcome intricate location-based problems and enhance user experiences.

FortressIQ defines security, insights, and governance in enterprise business automation and AI. It is on a mission to unlock the limitless potential of the global workforce by accelerating the responsible and ethical use of AI in the enterprise. FortressIQ is a meta-learning company, focused on techniques that allow deep neural networks to scalably acquire training data by observing the world around us. The company was founded by Pankaj Chowdhry in 2017, with its headquarters in San Francisco in California.

Yellow.ai is a conversational AI platform that enables enterprises to enhance customer engagement and unlock business potential at scale. Trusted by over 1,000 companies in more than 85 countries, including notable brands like Domino’s, Sephora, and Hyundai, the platform automates intelligent conversations across various channels such as web, mobile apps, voice assistants, and email. By leveraging Dynamic AI agents, Yellow.ai aims to deliver human-like interactions that improve customer satisfaction and boost employee engagement through a user-friendly no-code/low-code interface. The company has received recognition as a leader in its field from multiple industry analysts and has raised over $102 million from prominent investors, establishing a strong global presence with offices in six countries.

Turing leverages advanced AI and expert human data to help companies build smarter, better-performing AI systems, train and fine-tune LLMs, and develop enterprise-ready GenAI applications to drive innovation and accelerate the advancement of AGI. Its platform uses automation to source, vet, and match developers with organizations based on technical skills and project requirements. Turing serves businesses across various industries, helping them scale their engineering teams efficiently. The platform streamlines hiring, onboarding, and management processes for remote developers.

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.

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, 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.

Moveworks, Inc. develops a cloud-based AI platform that assists enterprises in resolving IT support issues for their employees. Founded in 2016 and headquartered in Mountain View, California, with an additional office in Culver City, the company offers an AI assistant that automates various tasks, such as ordering hardware, raising software requests, and managing ticket statuses. Utilizing a conversational interface, Moveworks interprets complex employee requests and executes multi-step processes, adapting based on previous interactions. Its technology is employed by organizations like Databricks, Broadcom, Hearst, and Palo Alto Networks to enhance productivity, streamline workflows, and improve information retrieval across enterprise systems. The platform integrates with chat applications, such as Slack, to provide seamless user experiences and automatic solutions.

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).

Cognicept Systems specializes in providing hybrid robotics AI through its Smart+ telerobotic intervention technology and remote robot pilots. The company focuses on enhancing the reliability of robotic systems by offering a remote intervention operating system that addresses common challenges associated with autonomous robotics in unpredictable environments. Its platform facilitates autonomy for robots operating in unstructured settings, allowing clients to manage tasks efficiently and reliably. By offering supervised autonomy tools and services, Cognicept enables easier and more economical deployment of robots, bridging the gap between technological capabilities and customer needs. These resources are particularly beneficial during the prototyping and testing phases of robotics development, helping teams avoid the complexities of developing such tools in-house.

Darwinbox is a prominent provider of cloud-based Human Resources Management Software (HRMS) that aims to transform workforce and technology interactions. Founded in 2015, the platform serves mid to large-sized enterprises by offering a comprehensive suite of features designed to enhance employee engagement throughout the entire employee lifecycle, from hiring to retirement. With a user-friendly interface and fast implementation cycles, Darwinbox incorporates advanced technologies such as artificial intelligence and machine learning, enabling functionalities like e-onboarding, continuous feedback, and performance analytics. The platform is utilized by over 350 global enterprises, including notable companies like Arvind, Dr. Reddy's, and Swiggy, and is trusted by more than 850,000 employees. Recognized in the APAC region as a preferred human capital management platform, Darwinbox has garnered support from investors such as Sequoia Capital and Lightspeed.

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).

LeapYear specializes in developing technology that allows enterprises to harness the value of sensitive data while ensuring its security. The company's platform employs differential privacy, a proven mathematical standard, to facilitate the use of data for machine learning without risking exposure or exploitation. By integrating advanced techniques in machine learning and cryptography, LeapYear enables organizations to analyze and monetize previously restricted data sources. It has established partnerships with major companies across various sectors, including financial services, healthcare, technology, and insurance, to support the secure combination and analysis of siloed information.

KERV Interactive is a digital advertising platform that utilizes advanced patented technology to enhance user engagement through video content. The company has developed an AI-powered video creative technology that employs machine learning to accurately identify objects and their dimensions within video streams, mimicking human visual perception. This innovative approach allows for every frame in a digital video to become an immersive and interactive experience for consumers. By leveraging these capabilities, KERV aims to improve the performance of digital advertising, making it more effective for brands and engaging for audiences.

Moveworks, Inc. develops a cloud-based AI platform that assists enterprises in resolving IT support issues for their employees. Founded in 2016 and headquartered in Mountain View, California, with an additional office in Culver City, the company offers an AI assistant that automates various tasks, such as ordering hardware, raising software requests, and managing ticket statuses. Utilizing a conversational interface, Moveworks interprets complex employee requests and executes multi-step processes, adapting based on previous interactions. Its technology is employed by organizations like Databricks, Broadcom, Hearst, and Palo Alto Networks to enhance productivity, streamline workflows, and improve information retrieval across enterprise systems. The platform integrates with chat applications, such as Slack, to provide seamless user experiences and automatic solutions.

ECheng (e成) is a B2B SaaS platform that provides HR matching and resume screening for enterprises. Using machine learning, data mining, and NLP (natural language processing), the company categorizes resumes that best fit the job requirements of the client company. The company was launched in 2013 by industry veterans from Baidu, IBM, and Microsoft, serving multinational conglomerates as well as small and medium-sized companies.

Blameless, Inc. develops a comprehensive site reliability engineering (SRE) platform that automates incident response for software businesses. Founded in 2017 and headquartered in San Mateo, California, the company’s platform allows organizations to set and monitor service level objectives and agreements, coordinate incident responses, and conduct root cause analyses. By integrating AI-driven incident resolution, blameless postmortems, and reliability insights, Blameless enhances collaboration among CTOs, engineering leaders, and engineers. Its tools include checklists for role assignments, dashboards for operational visibility, and analytics for improving incident management and learning from outages, ultimately helping businesses optimize both reliability and innovation.

Impira, Inc. is a technology company based in San Francisco that specializes in managing unstructured data through its artificial intelligence platform. Founded in 2017, Impira offers a solution that integrates with existing systems to consolidate various data sources, including product information, images, and documents. Its primary product streamlines workflows by automating the extraction and organization of data from files such as PDFs and scanned documents, enabling nontechnical users to easily retrieve structured information. Additionally, the company provides Mango, a platform specifically designed for searching contracts and extracting key fields like party names and effective dates. By employing machine learning and computer vision, Impira enhances the efficiency of data management and supports users in focusing on more strategic tasks, ultimately improving productivity and workplace morale.

Glean develops AI-based search engine software that facilitates access to enterprise data, enabling employees to efficiently find information and generate answers. Its primary product, Workplace Search, serves as an enterprise search platform that integrates with various internal data sources, allowing users to obtain relevant search results from multiple applications based on specific keywords. By employing advanced search techniques, retrieval augmented generation, and large language models, Glean's platform delivers personalized answers that are contextually grounded, enhancing productivity and information retrieval within organizations.

FortressIQ defines security, insights, and governance in enterprise business automation and AI. It is on a mission to unlock the limitless potential of the global workforce by accelerating the responsible and ethical use of AI in the enterprise. FortressIQ is a meta-learning company, focused on techniques that allow deep neural networks to scalably acquire training data by observing the world around us. The company was founded by Pankaj Chowdhry in 2017, with its headquarters in San Francisco in California.

Apex.AI, Inc. is a software company that focuses on developing solutions for autonomous mobility systems, particularly self-driving vehicles. Founded in 2017 and based in Palo Alto, California, the company offers Apex.OS, a software framework that simplifies the complexity of hardware and software integration through user-friendly APIs. Additionally, Apex.AI provides Apex.Autonomy, which is tailored for safety-critical applications, and MARV.Automotive, a versatile data management platform that facilitates data transfer between vehicles and the cloud. This platform allows for advanced analytics, data introspection, and team collaboration. Apex.AI's software products leverage open-source technologies, enabling developers to create secure and efficient applications for autonomous vehicles.

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

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).

Kodiak Robotics, Inc. is focused on developing autonomous technology specifically for long-haul trucking. Founded in 2018 and based in Mountain View, California, the company specializes in creating self-driving trucks designed to operate on highway routes. Kodiak Robotics employs advanced sensor fusion systems and innovative mapping solutions to enable its vehicles to manage all aspects of highway driving. This technology aims to enhance network efficiency and reduce operational costs for businesses in the logistics sector.

Blameless, Inc. develops a comprehensive site reliability engineering (SRE) platform that automates incident response for software businesses. Founded in 2017 and headquartered in San Mateo, California, the company’s platform allows organizations to set and monitor service level objectives and agreements, coordinate incident responses, and conduct root cause analyses. By integrating AI-driven incident resolution, blameless postmortems, and reliability insights, Blameless enhances collaboration among CTOs, engineering leaders, and engineers. Its tools include checklists for role assignments, dashboards for operational visibility, and analytics for improving incident management and learning from outages, ultimately helping businesses optimize both reliability and innovation.

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, 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 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.

Testim is a developer of a testing automation platform that simplifies the process of application testing within agile development cycles. The platform leverages machine learning to facilitate the authoring, execution, and maintenance of automated tests. By analyzing various attributes in real time, it allows developers to identify and manage test elements effectively. This approach reduces the need for continuous test maintenance following code changes, empowering developers to take ownership of code quality and making quality assurance an organization-wide initiative. With Testim, both developers and testers can enhance their automation skills, leading to improved efficiency in the testing process.

CrowdAmp is a one-to-many messaging platform. We use machine learning to enable scalable communications over text messaging.

Impira, Inc. is a technology company based in San Francisco that specializes in managing unstructured data through its artificial intelligence platform. Founded in 2017, Impira offers a solution that integrates with existing systems to consolidate various data sources, including product information, images, and documents. Its primary product streamlines workflows by automating the extraction and organization of data from files such as PDFs and scanned documents, enabling nontechnical users to easily retrieve structured information. Additionally, the company provides Mango, a platform specifically designed for searching contracts and extracting key fields like party names and effective dates. By employing machine learning and computer vision, Impira enhances the efficiency of data management and supports users in focusing on more strategic tasks, ultimately improving productivity and workplace morale.

Darwinbox is a prominent provider of cloud-based Human Resources Management Software (HRMS) that aims to transform workforce and technology interactions. Founded in 2015, the platform serves mid to large-sized enterprises by offering a comprehensive suite of features designed to enhance employee engagement throughout the entire employee lifecycle, from hiring to retirement. With a user-friendly interface and fast implementation cycles, Darwinbox incorporates advanced technologies such as artificial intelligence and machine learning, enabling functionalities like e-onboarding, continuous feedback, and performance analytics. The platform is utilized by over 350 global enterprises, including notable companies like Arvind, Dr. Reddy's, and Swiggy, and is trusted by more than 850,000 employees. Recognized in the APAC region as a preferred human capital management platform, Darwinbox has garnered support from investors such as Sequoia Capital and Lightspeed.

Mist Systems, born in the mobile and cloud era, delivers the world’s first intelligent wireless network products that leverage machine learning. Using Mist, enterprises can provide amazing user experiences not possible before, and IT can proactively manage the network at any scale. It was founded in 2014 and is based in Cupertino, California.

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.

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.

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.

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.

NuMedii is a biotechnology company that discovers and de-risks effective new drugs by translating life sciences big data into therapies. The Company’s proprietary and dynamic Big Data technology, developed in Atul Butte’s lab at Stanford University and licensed exclusively to NuMedii. It utilizes hundreds of millions of raw human, biological, pharmacological, and clinical data points. The company was founded in 2008 and headquartered in San Mateo, California.

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.

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.

DataStax, Inc. specializes in providing database software for cloud applications, catering to Fortune 100 companies globally. Its flagship product, DataStax Enterprise, is built on Apache Cassandra and designed for online applications requiring high performance and reliability. The company also offers various tools, including DataStax OpsCenter for database management, K8ssandra for deploying Cassandra on Kubernetes, and DataStax DevCenter for developing CQL queries. DataStax Astra is a database-as-a-service that significantly accelerates deployment times, while DataStax Constellation functions as a cloud data platform to streamline modern application development. Additionally, DataStax provides training, support, and consulting services to enterprises and government agencies. Founded in 2010 and headquartered in Santa Clara, California, DataStax has a global presence with offices in multiple countries, including the United Kingdom, Japan, France, Germany, Australia, and Ireland. The company has also ventured into tools for building generative AI applications, offering a vector database with real-time data processing capabilities.

HanSight is a company focused on transforming the cybersecurity landscape through its advanced big data analytics platform and patented machine learning algorithms. By integrating Security Information and Event Management (SIEM), User & Entity Behavior Analytics (UEBA), and Network Traffic Analytics (NTA), HanSight aims to help organizations detect and prevent cyber breaches, fraud, and insider threats in real time with heightened accuracy. Founded in 2014 by experienced professionals from Trend Micro, Microsoft, and Oracle, the company leverages a comprehensive approach that incorporates data from various sources, including security product logs and network traffic, to deliver effective security solutions. Supported by leading venture capital firms, HanSight serves a diverse clientele, including major banks, telecommunications companies, and government agencies, positioning itself as a trusted partner in cybersecurity.

Epinomics is revolutionizing personalized medicine through scientific research, deep analytics, and clinical application development.

Primary Data, founded in 2013 and based in Sandy, Utah, specializes in intelligence and automation software for enterprise data management, facilitating seamless integration between on-premises IT infrastructure and cloud environments. The company's flagship platform, DataSphere, utilizes metadata management and machine learning to optimize data movement within a global namespace. It enables organizations managing large data volumes to efficiently handle billions of files, automate data migration processes, and improve cloud integration while enhancing network-attached storage (NAS) performance. By ensuring that the right data is accessible to the right applications at the right time, Primary Data helps enterprises maximize the value of their infrastructure investments.

Primary Data, founded in 2013 and based in Sandy, Utah, specializes in intelligence and automation software for enterprise data management, facilitating seamless integration between on-premises IT infrastructure and cloud environments. The company's flagship platform, DataSphere, utilizes metadata management and machine learning to optimize data movement within a global namespace. It enables organizations managing large data volumes to efficiently handle billions of files, automate data migration processes, and improve cloud integration while enhancing network-attached storage (NAS) performance. By ensuring that the right data is accessible to the right applications at the right time, Primary Data helps enterprises maximize the value of their infrastructure investments.

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 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 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.