Founded in 1972 and based in Menlo Park, California, Sequoia Capital is a leading venture capital firm that specializes in investing in early to growth stage companies across various sectors, including energy, financial services, healthcare, internet, mobile, and technology. The firm aims to collaborate with a select number of ambitious founders to help them build transformative companies. Sequoia Capital typically invests between $100,000 and $1 million in startups at the seed stage, $1 million to $10 million in early-stage companies, and $10 million to $100 million in growth-stage firms. With a strong preference for being the first investor in profitable and rapidly growing companies, Sequoia seeks to partner with teams that have demonstrated successful products or services. The firm's investment strategy encompasses a global perspective, with significant allocations in markets such as China, India, and Israel.
Cyera is a data security company focused on enhancing the protection of sensitive information within organizations. The company provides a platform that automatically discovers and classifies data, ensuring that businesses have a clear understanding of their data landscape and the associated risks. By applying continuous controls, Cyera enables organizations to manage exposure effectively and maintain compliance while fostering a resilient security posture. This data-centric approach empowers security teams to quickly identify vulnerabilities and take immediate action to remediate potential threats. With support from prominent investors, Cyera aims to redefine data security practices for businesses operating in the cloud, helping them achieve transformative outcomes through effective data management.
Physical Intelligence
Series A in 2024
Physical Intelligence is a company working on integrating general-purpose AI with robotics and physical devices. It develops foundation models and learning algorithms for robots to allow industries to perform tasks across various applications.
Glean
Series E in 2024
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.
xAI
Series B in 2024
XAI develops artificial intelligence technologies for data analysis and decision-making. It uses machine learning algorithms to increase accuracy. XAI operates in finance, healthcare, and logistics industries.
APEX
Seed Round in 2024
APEX is an AI security company that focuses on providing organizations with visibility into generative AI activity while ensuring a robust security platform. The company aims to empower users to leverage artificial intelligence safely and confidently, addressing the growing need for security solutions in an increasingly AI-driven landscape. By offering tools that enhance security and mitigate risks associated with AI technologies, APEX helps organizations harness the potential of AI without compromising their safety or privacy.
Xaira Therapeutics
Venture Round in 2024
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.
Collaborative Robotics
Series B in 2024
Collaborative Robotics is a team of innovators and builders redefining the future of human-robot interaction. A future in which robots are trustworthy extensions of the environment. They operate, adapt, and react in response.
Cyera
Series C in 2024
Cyera is a data security company focused on enhancing the protection of sensitive information within organizations. The company provides a platform that automatically discovers and classifies data, ensuring that businesses have a clear understanding of their data landscape and the associated risks. By applying continuous controls, Cyera enables organizations to manage exposure effectively and maintain compliance while fostering a resilient security posture. This data-centric approach empowers security teams to quickly identify vulnerabilities and take immediate action to remediate potential threats. With support from prominent investors, Cyera aims to redefine data security practices for businesses operating in the cloud, helping them achieve transformative outcomes through effective data management.
Fireworks AI
Series A in 2024
Fireworks AI provides a generative AI platform as a service, focusing on the rapid iteration of product development while minimizing operational costs. The platform enables users to run, fine-tune, and share large language models (LLMs), facilitating collaboration and enhancing the ability to solve product-related challenges. By leveraging its technology, developers and businesses can accelerate their growth and improve scalability through efficient and effective product innovation.
Physical Intelligence
Seed Round in 2024
Physical Intelligence is a company working on integrating general-purpose AI with robotics and physical devices. It develops foundation models and learning algorithms for robots to allow industries to perform tasks across various applications.
Sahara AI
Seed Round in 2024
Sahara AI is a decentralized AI network that enables freely and securely deploying autonomous AI with a high-performance, privacy-first network. Its collaboration network helps individuals and businesses deploy personalized, autonomous AI. It also offers a permissionless and privacy-centric network that allows cross-agent communication, knowledge transfer, and capitalization between individuals.
Glean
Series D in 2024
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.
LangChain
Series A in 2024
LangChain is a developer-focused library that provides a framework for building applications utilizing language models. It facilitates the integration of these models with various data sources, allowing applications to interact effectively with their environment. The platform supports a range of model types and offers features like prompt management, memory, indexing, chains, and agents. This enables developers to create diverse generative artificial intelligence applications, including personal assistants, question-answering bots, chatbots, and tools for data querying.
Harvey
Series B in 2023
Harvey is an artificial intelligence technology service provider for knowledge workers. It uses AI to answer legal questions and lands cash from OpenAI. The product provides lawyers with a natural language interface for their existing legal workflow. It offers a unified and intuitive interface for all legal workflows, allowing lawyers to describe tasks in plain English instead of using a suite of complex and specialized tools for niche tasks. Harvey was founded in 2022 and is based in Washington, DC.
Replicate
Series B in 2023
Replicate is a startup that uses cloud technology to run machine learning models. By providing a streamlined solution, their platform is intended to reduce manual work for software teams. Developers can deploy AI models with minimal coding on Replicate's platform, making the process more efficient. The startup's technology promises to make machine learning model deployment easier by reducing the amount of manual work required from software teams. Developers can streamline their workflow and focus on other important tasks by utilizing their platform. Replicate's mission is to make AI model deployment more accessible and efficient for software teams.
Kotoko AI
Seed Round in 2023
Founded in 2023, Kotoko AI is a laboratory dedicated to researching AI Multi-Agent and the next-generation interactive entertainment experiences driven by new technology. Our team includes scientists, artists, game designers, and business leaders.
Klu.ai
Pre Seed Round in 2023
Klu.ai is a generative AI platform that simplifies the process of designing, deploying, and optimizing AI applications. The company integrates major large language models (LLMs) such as Anthropic Claude, Azure OpenAI, GPT-4, and over 15 other models, enabling rapid prompt/model experimentation, data gathering, and user feedback. The platform offers features like Klu Actions for content generation, business operations workflows, content analysis, and summarization, as well as optimization techniques for A/B testing and fine-tuning support for models like OpenAI's GPT-3.5 Turbo and GPT-4. Klu.ai is committed to data privacy and security, providing data obfuscation and redaction features to protect sensitive information. Klu.ai is founded by Stephen M. Walker II in 2022 and is located in San Francisco, California.
Iambic
Series B in 2023
The Iambic AI-driven platform was created to address the most challenging design problems in drug discovery, leveraging technology innovations such as Enchant, a multi-modal transformer model that predicts clinical outcomes from the earliest stages of discovery, and NeuralPLexer, the best-in-class predictor of protein and protein-ligand structures. The integration of physics principles into the platform’s AI architectures improves data efficiency and allows molecular models to venture widely across the space of possible chemical structures. The platform enables identification of novel chemical modalities for engaging difficult-to-address biological targets, discovery of defined product profiles that optimize therapeutic window, and multi-parameter optimization for highly differentiated development candidates. Through close integration of AI-generated molecular designs with automated experimental execution, Iambic completes design-make-test cycles on a weekly cadence.
Hodl AI
Seed Round in 2023
Hodl AI is an AI-powered CRM that tracks and enhances customer relationships. Hodl AI was founded in 2023.
Dust
Seed Round in 2023
Dust is a company that offers an AI platform enabling businesses to create and implement customized virtual assistants tailored to their specific requirements. The platform facilitates the management of internal content and knowledge, enhances collaboration and onboarding processes across teams, and streamlines workflows in various domains such as marketing, sales, data analysis, and engineering. By leveraging existing data and expertise, Dust's AI-powered assistants help organizations improve efficiency and productivity. The technology allows for the selection of appropriate language models and granular control over data access, ensuring a secure and privacy-focused application that empowers teams to address concrete use cases effectively.
Cyera
Series B in 2023
Cyera is a data security company focused on enhancing the protection of sensitive information within organizations. The company provides a platform that automatically discovers and classifies data, ensuring that businesses have a clear understanding of their data landscape and the associated risks. By applying continuous controls, Cyera enables organizations to manage exposure effectively and maintain compliance while fostering a resilient security posture. This data-centric approach empowers security teams to quickly identify vulnerabilities and take immediate action to remediate potential threats. With support from prominent investors, Cyera aims to redefine data security practices for businesses operating in the cloud, helping them achieve transformative outcomes through effective data management.
REVER
Seed Round in 2023
REVER is a software as a service (SaaS) platform focused on enhancing the returns process for B2B e-commerce operations. The platform aims to streamline and expedite product returns, making the experience more efficient for both businesses and their customers. By revolutionizing the post-sale process, REVER provides tools that facilitate not only returns but also re-sales and customer feedback. This approach empowers businesses to grow and scale while addressing a significant need for fast and sustainable returns solutions in the e-commerce sector. Through its innovative technology, REVER seeks to automate operations and reduce costs, positioning itself as a key player in the expanding B2B SaaS market.
Dune Security
Pre Seed Round in 2023
AI fighting AI. CISOs face an impossible risk landscape today. 80% of cybersecurity breaches start because of employee error. The problem is exacerbating with generative AI, as a single hacker can specifically target thousands of employees in the same amount of time that they used to specifically target tens of employees with social engineering. CISOs lack tools to deal with employee risk and are held accountable when a breach inevitably happens. By leveraging AI at each step, Dune Security empowers organizations to quantify individual risk through analyzing user behavior, context, learning patterns, and third party data. This allows the automation of tailored cybersecurity measures to each individual, transforming vulnerabilities into strengths. Dune is the central engine of all employee risk data, which is a solution that is not just timely for organizations but necessary in navigating the present cybersecurity landscape. This gives the CISO the capability to understand who are the high risk employees, to what extent, and why - as well as automatically remediate and restrict access to keep their organization safe. Today, Dune Security uniquely replaces legacy and ineffective security awareness training by pinpointing the crucial 8% of employees responsible for 80% of the risk, ensuring all employees receive personalized, machine learning-driven training tailored to their risk profile. CISOs also have easy access to quantifiable data via robust reporting and API-out capability, enabling them to both report to compliance auditors, regulators, and insurance underwriters, as well as restrict access to high-risk employees through other security systems.
OpenAI
Venture Round in 2023
OpenAI is an artificial intelligence research and deployment company focused on developing machine learning technologies that aim to create safe artificial general intelligence for the benefit of all users. The company engages in projects related to autonomous learning and task performance across various industries, including technology, healthcare, and education. OpenAI's platform directs artificial intelligence applications and is involved in policy work, education, and outreach, enabling clients to enhance their skills and knowledge while leveraging autonomous systems that can surpass human performance in economically valuable tasks.
Harvey
Series A in 2023
Harvey is an artificial intelligence technology service provider for knowledge workers. It uses AI to answer legal questions and lands cash from OpenAI. The product provides lawyers with a natural language interface for their existing legal workflow. It offers a unified and intuitive interface for all legal workflows, allowing lawyers to describe tasks in plain English instead of using a suite of complex and specialized tools for niche tasks. Harvey was founded in 2022 and is based in Washington, DC.
LightMetrics
Series A in 2023
LightMetrics develops a software platform that employs video telematics and artificial intelligence to enhance the safety and efficiency of commercial vehicle fleets. By utilizing advanced machine learning and neural network algorithms, the company collects valuable insights related to vehicle operations, including real-time traffic alerts and monitoring of distance and lane departures. This technology is designed to serve a diverse range of fleet customers, helping them optimize their operations and improve overall performance. Through its innovative approach, LightMetrics aims to provide actionable data that supports better decision-making for fleet management.
Hex Technologies
Venture Round in 2023
Hex is a software company that provides collaborative data science and analytics. They provide individuals to learn and organizations to know things so they can make better decisions. Hex brings together SQL, Python, R, and no-code in powerful notebooks and allows users to publish projects as interactive data apps that anyone can use with one click.
Mirage
Seed Round in 2023
Custom LLMs to accelerate your productivity!
Replicate
Series A in 2023
Replicate is a startup that uses cloud technology to run machine learning models. By providing a streamlined solution, their platform is intended to reduce manual work for software teams. Developers can deploy AI models with minimal coding on Replicate's platform, making the process more efficient. The startup's technology promises to make machine learning model deployment easier by reducing the amount of manual work required from software teams. Developers can streamline their workflow and focus on other important tasks by utilizing their platform. Replicate's mission is to make AI model deployment more accessible and efficient for software teams.
Replicate
Seed Round in 2023
Replicate is a startup that uses cloud technology to run machine learning models. By providing a streamlined solution, their platform is intended to reduce manual work for software teams. Developers can deploy AI models with minimal coding on Replicate's platform, making the process more efficient. The startup's technology promises to make machine learning model deployment easier by reducing the amount of manual work required from software teams. Developers can streamline their workflow and focus on other important tasks by utilizing their platform. Replicate's mission is to make AI model deployment more accessible and efficient for software teams.
Pydantic
Seed Round in 2023
Pydantic is a company that specializes in developing an open-source data-validation framework for Python, which utilizes type hints to ensure data integrity. This framework effectively validates data by providing clear, user-friendly error messages when invalid entries are encountered. It enables developers to handle untrusted external data by ensuring it conforms to expected schemas, thus streamlining the process of working with real-world data. By facilitating easier and faster data validation, Pydantic's framework helps developers save time and reduce errors in their projects. Additionally, the company operates an observability platform known as Pydantic Logfire, further enhancing its offerings in the data management space.
CloseFactor
Series A in 2023
CloseFactor is a company that leverages machine learning to enhance the business-to-business sales process. By providing automated sales research and contextual insights, CloseFactor enables sales teams to identify potential customers more effectively. The company specializes in gathering actionable information from various sources using natural language processing and information extraction techniques. This approach allows businesses to recognize important buying signals and engage with prospects before their competitors do. Ultimately, CloseFactor aims to help organizations scale their sales efforts and achieve their growth targets by minimizing the time account executives spend on research and maximizing their interactions with customers.
Zenlytic
Seed Round in 2022
Zenlytic is a business intelligence platform that leverages advanced technology to streamline data analysis for businesses. It features Zoë, a data analyst chatbot that significantly reduces ad hoc data requests and provides rapid responses, performing tasks up to 1200 times faster than traditional data teams. The platform enables users to pull data, create dashboards, and conduct advanced analytics using plain English, making complex data interactions more accessible. Zenlytic's innovative approach includes building a unique, LLM-native semantic layer that is integrated with a powerful AI agent and a modern business intelligence tool. Additionally, the platform serves as a centralized hub for e-commerce analytics, offering a no-code solution that automatically identifies important data changes and delves into the underlying causes of key metrics, allowing clients to gain a comprehensive understanding of their business performance.
Solvo.ai
Seed Round in 2022
Solvo.ai is a developer of an artificial intelligence-based platform focused on enhancing the resilience, efficiency, and responsiveness of global supply chains. By integrating human expertise with practical AI, the company aims to create a centralized decision-making framework that allows organizations to navigate complex supply chain challenges. Its optimization engine is designed to run various scenarios, assess trade-offs, and improve transparency, enabling businesses to adapt swiftly to market changes, disruptions, and evolving customer behaviors. This approach not only helps in managing risks but also supports businesses in achieving better operational yields. Solvo.ai’s mission centers on addressing real-world supply chain issues through innovative and value-driven machine learning technology.
Kumo.AI
Series B in 2022
Kumo.AI is a SaaS AI platform that allows anyone in an organization to tackle predictive problems in business. It enables all non-technical and technical users, regardless of ML experience, to traverse all the major steps of a best practice ML lifecycle. The platform's users can immediately tackle a wide variety of predictive problems all in a single sitting, in application areas such as new customer acquisition, customer loyalty and retention, personalization and next best action, entity resolution and knowledge graph curation, abuse detection, financial crime detection, generation of ML features for data science teams, and more. Kumo.AI was founded in 2021 and is based in Mountain View, California.
Arcwise
Pre Seed Round in 2022
Arcwise is a low-code platform for data apps that makes Python, SQL, and machine learning available to everyone. With Arcwise, users can import data from all their sources scalably and quickly, get insights fast with AI-assisted analytics and visualizations, and automate workflows and build dashboards for their stakeholders. Arcwise includes pre-written recipes for data transformations, cleaning, and even machine learning modeling.
Kaito
Seed Round in 2022
Kaito is an AI-powered search engine designed specifically for digital assets, focusing on providing actionable insights for crypto investors, researchers, developers, and the general public. The platform employs advanced in-house AI technologies to aggregate, sort, and curate real-time information from a variety of sources, including social media, publishing platforms, audio content, and industry news. By transforming vast amounts of unstructured data into structured information, Kaito aims to democratize access to critical insights within the crypto industry, thereby enhancing the research process for its users.
Tecton
Series C in 2022
Tecton offers an enterprise-ready feature store that addresses the unique data requirements of machine learning. By providing a robust data platform, Tecton enables machine learning teams to efficiently build, serve, and scale features for production use. The platform allows users to construct features from various data sources, including batch, streaming, and real-time data, facilitating the sharing, reuse, and deployment of models. This capability empowers data scientists and organizations to automate decisions at high speed, enhance customer experiences, and transform business processes. Tecton's focus on optimizing the data layer for machine learning aims to help companies develop superior models more rapidly, driving significant business outcomes.
Airtop
Series A in 2022
Airtop provides an intelligent browser automation API for AI agents, enabling seamless web interaction, including login, navigation, and data extraction from any site, even those with complex authentication - all with natural language instructions.
CloseFactor
Seed Round in 2022
CloseFactor is a company that leverages machine learning to enhance the business-to-business sales process. By providing automated sales research and contextual insights, CloseFactor enables sales teams to identify potential customers more effectively. The company specializes in gathering actionable information from various sources using natural language processing and information extraction techniques. This approach allows businesses to recognize important buying signals and engage with prospects before their competitors do. Ultimately, CloseFactor aims to help organizations scale their sales efforts and achieve their growth targets by minimizing the time account executives spend on research and maximizing their interactions with customers.
Glean
Series C in 2022
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.
Hugging Face
Series C in 2022
Hugging Face, Inc. is an open-source platform provider specializing in machine learning technologies, founded in 2016 and headquartered in New York City. The company focuses on democratizing machine learning by facilitating collaboration on models, datasets, and applications within a community-driven environment. Hugging Face offers tools and services that allow users to create, discover, and collaborate on machine learning projects. In addition to its community platform, the company provides paid computing and enterprise solutions aimed at accelerating development processes. Through its commitment to open-source practices, Hugging Face supports users in advancing the field of machine learning.
Airtop
Seed Round in 2022
Airtop provides an intelligent browser automation API for AI agents, enabling seamless web interaction, including login, navigation, and data extraction from any site, even those with complex authentication - all with natural language instructions.
Statsig
Series B in 2022
Statsig is a digital product testing platform that empowers businesses to make informed decisions through robust product experimentation. Unlike traditional A/B testing tools, Statsig tracks the impact of every feature release, allowing teams to quantify the effects of their efforts comprehensively. Its Product Observability feature enables teams to identify significant metric drops shortly after launching new features, facilitating quick divestment from underperforming initiatives and encouraging investment in successful ones. By adopting Statsig, modern product teams have experienced increased product velocity and enhanced decision-making capabilities. The company’s founding team, which includes former Facebook employees, aims to revamp the data tools infrastructure that supported Facebook's growth over the past decade.
Kumo.AI
Series A in 2022
Kumo.AI is a SaaS AI platform that allows anyone in an organization to tackle predictive problems in business. It enables all non-technical and technical users, regardless of ML experience, to traverse all the major steps of a best practice ML lifecycle. The platform's users can immediately tackle a wide variety of predictive problems all in a single sitting, in application areas such as new customer acquisition, customer loyalty and retention, personalization and next best action, entity resolution and knowledge graph curation, abuse detection, financial crime detection, generation of ML features for data science teams, and more. Kumo.AI was founded in 2021 and is based in Mountain View, California.
Cyera
Series A in 2022
Cyera is a data security company focused on enhancing the protection of sensitive information within organizations. The company provides a platform that automatically discovers and classifies data, ensuring that businesses have a clear understanding of their data landscape and the associated risks. By applying continuous controls, Cyera enables organizations to manage exposure effectively and maintain compliance while fostering a resilient security posture. This data-centric approach empowers security teams to quickly identify vulnerabilities and take immediate action to remediate potential threats. With support from prominent investors, Cyera aims to redefine data security practices for businesses operating in the cloud, helping them achieve transformative outcomes through effective data management.
Yokoy
Series B in 2022
Yokoy is a FinTech company specializing in automating spend management for medium and large enterprises through an advanced platform that integrates expense management, supplier invoice management, and smart corporate cards. Utilizing artificial intelligence and machine learning, Yokoy's software simplifies the expense reporting process, allowing users to upload images of expenses that are then automatically processed into reports. This automation not only saves time and reduces costs but also enhances fraud prevention and provides valuable data insights. Established in March 2019 as Yokoy Group AG, the company continues to develop its technology in an in-house AI research lab to improve efficiency and effectiveness in financial workflows.
Base64
Seed Round in 2022
Base64.ai automates all document processes using Generative AI and Large Language Models. The startup is disrupting the $100 billion Intelligent Document Processing market with its unique capability to understand any document without training. It has four patent applications, supports over 2,800 document types, and has 400+ no-code integrations. It's at $1.2m GAAP ARR with 1.5x growth in the last three months. The startup was funded $2m in Q2 2022 by Long Journey Ventures, Prime Zero, and Sequoia Scout. The founder, Ozan Bilgen, was a software engineer/manager at Microsoft, Netflix, PayPal, Uber, and Palantir.
Salt Security
Series D in 2022
Salt Security, Inc. is a cybersecurity company based in Palo Alto, California, specializing in API security. The company's platform is designed to prevent zero-day API breaches by employing machine learning and artificial intelligence to automatically identify and protect APIs. This solution learns the specific behaviors of a company's APIs without the need for configuration, enabling it to swiftly detect and block potential attackers. Founded in 2015 and initially known as SECful, Inc., the company rebranded to Salt Security in 2018. It aims to provide robust protection for modern applications that rely heavily on APIs, ensuring that clients can defend against evolving threats in the cybersecurity landscape.
hOS
Seed Round in 2022
HOS is an AI technology company focused on developing scalable solutions that drive meaningful change in society. By leveraging artificial intelligence, HOS aims to empower individuals to realize their potential and enhance their quality of life. The company’s mission is to create impactful technologies that facilitate personal and economic growth, enabling people to thrive on their own terms.
Darwinbox
Series D in 2022
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.
Bluerizon
Pre Seed Round in 2022
Bluerizon is a software and online data-science platform that powering the intelligence layer of global markets to deliver actionable insights to businesses, consumers and retail traders. It allows its user to grow and scale their approach to the global markets by helping them making smarter, faster and better decisions. Also, It provides a large library of online courses, AI driven price predictions, analysis, normalised data, automation and many more. Bluerizon was launched in 2022 with a mission to create a financial freedom ecosystem for the world and dual-headquartered in Menlo Park, California and Dubai, United Arab Emirates.
Pace
Series A in 2021
Pace operates a revenue management platform specifically designed for hotels and hostels, providing innovative solutions to address the challenges of fluctuating demand for accommodations. Founded in 2017 and based in London, the company utilizes machine learning and statistical methods to offer real-time forecasting, price sensitivity analysis, and automation. This allows hotel owners to optimize pricing strategies and sales channels, potentially increasing annual revenues by over 30%. Pace's proprietary algorithms are continuously refined by its dedicated science team, setting the company apart as a technology-driven entity within the hospitality sector. By focusing on real-time automation and responsive pricing, Pace ensures that hotel owners can effectively adapt to market changes and secure the right bookings at optimal prices.
Pace
Series A in 2021
Pace operates a revenue management platform specifically designed for hotels and hostels, providing innovative solutions to address the challenges of fluctuating demand for accommodations. Founded in 2017 and based in London, the company utilizes machine learning and statistical methods to offer real-time forecasting, price sensitivity analysis, and automation. This allows hotel owners to optimize pricing strategies and sales channels, potentially increasing annual revenues by over 30%. Pace's proprietary algorithms are continuously refined by its dedicated science team, setting the company apart as a technology-driven entity within the hospitality sector. By focusing on real-time automation and responsive pricing, Pace ensures that hotel owners can effectively adapt to market changes and secure the right bookings at optimal prices.
Robust Intelligence
Series B in 2021
Robust Intelligence, Inc. is a San Francisco-based company founded in 2019 that focuses on enhancing the security and reliability of artificial intelligence systems. The company provides an automated platform designed to safeguard enterprises from AI security vulnerabilities by detecting and mitigating model threats. Its comprehensive solution includes proprietary red teaming, threat intelligence, and guardrails to ensure secure AI deployment in production. Robust Intelligence's platform features two key components: automated tests for pre-production models and quality assurance tests for in-production models. This dual approach enables clients to identify and eliminate contaminated data, thereby improving model performance in complex production environments.
Bigeye
Series B in 2021
Toro is a company focused on autonomous data quality monitoring, providing a platform that enhances the integrity of data used in business operations. Its application utilizes machine learning algorithms to automate data checks, ensuring comprehensive coverage and helping clients maintain high standards by filtering out poor-quality data. By integrating with various data sources, Toro enables organizations to monitor and analyze data quality effectively, facilitating informed decision-making and supporting the overall reliability of their data environments.
Statsig
Series A in 2021
Statsig is a digital product testing platform that empowers businesses to make informed decisions through robust product experimentation. Unlike traditional A/B testing tools, Statsig tracks the impact of every feature release, allowing teams to quantify the effects of their efforts comprehensively. Its Product Observability feature enables teams to identify significant metric drops shortly after launching new features, facilitating quick divestment from underperforming initiatives and encouraging investment in successful ones. By adopting Statsig, modern product teams have experienced increased product velocity and enhanced decision-making capabilities. The company’s founding team, which includes former Facebook employees, aims to revamp the data tools infrastructure that supported Facebook's growth over the past decade.
Knowde
Series B in 2021
Knowde operates an online marketplace focused on the chemical industry, enhancing the accessibility of trading chemicals, polymers, and industrial ingredients. Its platform utilizes advanced technologies, including deep learning and self-learning data models, to facilitate the search, filtering, sampling, quoting, and purchasing of products tailored to client specifications. By offering a comprehensive chemical taxonomy, Knowde empowers global chemical producers and distributors to transform their operations digitally. This innovative approach allows clients to compare and access products from suppliers worldwide, streamlining the procurement process in the chemical sector. The company has garnered support from prominent investors, highlighting its potential in revolutionizing how chemical transactions are conducted.
Inworld AI
Seed Round in 2021
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.
Iambic
Series A in 2021
The Iambic AI-driven platform was created to address the most challenging design problems in drug discovery, leveraging technology innovations such as Enchant, a multi-modal transformer model that predicts clinical outcomes from the earliest stages of discovery, and NeuralPLexer, the best-in-class predictor of protein and protein-ligand structures. The integration of physics principles into the platform’s AI architectures improves data efficiency and allows molecular models to venture widely across the space of possible chemical structures. The platform enables identification of novel chemical modalities for engaging difficult-to-address biological targets, discovery of defined product profiles that optimize therapeutic window, and multi-parameter optimization for highly differentiated development candidates. Through close integration of AI-generated molecular designs with automated experimental execution, Iambic completes design-make-test cycles on a weekly cadence.
Salt Security
Series C in 2021
Salt Security, Inc. is a cybersecurity company based in Palo Alto, California, specializing in API security. The company's platform is designed to prevent zero-day API breaches by employing machine learning and artificial intelligence to automatically identify and protect APIs. This solution learns the specific behaviors of a company's APIs without the need for configuration, enabling it to swiftly detect and block potential attackers. Founded in 2015 and initially known as SECful, Inc., the company rebranded to Salt Security in 2018. It aims to provide robust protection for modern applications that rely heavily on APIs, ensuring that clients can defend against evolving threats in the cybersecurity landscape.
Tessian
Series C in 2021
Tessian’s mission is to secure the human layer. Using machine learning technology, Tessian automatically stops data breaches and security threats caused by human error - like data exfiltration, accidental data loss, business email compromise, and phishing attacks - with minimal disruption to employees' workflow. As a result, employees are empowered to do their best work, without security getting in their way. Founded in 2013, Tessian is backed by renowned investors like Sequoia, Accel, March Capital, and Balderton, and has offices in San Francisco and London.
Bigeye
Series A in 2021
Toro is a company focused on autonomous data quality monitoring, providing a platform that enhances the integrity of data used in business operations. Its application utilizes machine learning algorithms to automate data checks, ensuring comprehensive coverage and helping clients maintain high standards by filtering out poor-quality data. By integrating with various data sources, Toro enables organizations to monitor and analyze data quality effectively, facilitating informed decision-making and supporting the overall reliability of their data environments.
Streamlit
Series B in 2021
Streamlit, Inc. is a company that offers an open-source application framework specifically designed for data scientists and machine learning engineers. Founded in 2018 and headquartered in San Francisco, California, Streamlit enables users to develop and deploy data science applications quickly and efficiently. Its framework allows for the creation of custom applications that facilitate interaction with data models, significantly reducing the time required to build performant applications. By providing this resource, Streamlit supports businesses in leveraging their data more effectively through intuitive, user-friendly applications.
Aquarium
Seed Round in 2021
Aquarium Learning is an ML data management platform that helps to improve models by improving datasets. The company was founded in 202 and based in San Francisco, California.
Appier
Venture Round in 2021
Appier Inc. is a technology company headquartered in Taipei, Taiwan, founded in 2012. It specializes in providing artificial intelligence platforms designed to enhance customer engagement and facilitate data-driven decision-making for enterprises. Appier offers a suite of products, including Aideal, which helps businesses influence purchase decisions and shorten sales cycles; AIQUA, a proactive platform for customer engagement based on user behavior; AIXON, a data science platform that consolidates customer data for predictive analytics; and CrossX, an AI-powered advertising solution for optimizing campaign performance. The company serves around 1,000 global brands and agencies and has a presence in 14 markets across Asia, including Singapore, Kuala Lumpur, Tokyo, and Sydney. Appier’s solutions allow businesses to leverage AI for improved targeting and customer retention, making it easier for them to operate in a cross-screen environment without needing extensive in-house AI expertise.
OpenAI
Venture Round in 2021
OpenAI is an artificial intelligence research and deployment company focused on developing machine learning technologies that aim to create safe artificial general intelligence for the benefit of all users. The company engages in projects related to autonomous learning and task performance across various industries, including technology, healthcare, and education. OpenAI's platform directs artificial intelligence applications and is involved in policy work, education, and outreach, enabling clients to enhance their skills and knowledge while leveraging autonomous systems that can surpass human performance in economically valuable tasks.
Salt Security
Series B in 2020
Salt Security, Inc. is a cybersecurity company based in Palo Alto, California, specializing in API security. The company's platform is designed to prevent zero-day API breaches by employing machine learning and artificial intelligence to automatically identify and protect APIs. This solution learns the specific behaviors of a company's APIs without the need for configuration, enabling it to swiftly detect and block potential attackers. Founded in 2015 and initially known as SECful, Inc., the company rebranded to Salt Security in 2018. It aims to provide robust protection for modern applications that rely heavily on APIs, ensuring that clients can defend against evolving threats in the cybersecurity landscape.
Trusting Social
Series B in 2020
Trusting Social is an AI fintech company focused on enhancing financial inclusion for underbanked populations through innovative credit risk and identity verification solutions. By utilizing proprietary machine learning algorithms and alternative data sources, Trusting Social provides financial institutions with consumer credit scores that extend beyond traditional methods. This enables lenders to assess credit risk, verify identity, and confidently offer loans to individuals who lack conventional credit histories. Operating in Vietnam, Indonesia, India, and the Philippines, Trusting Social's platform addresses the needs of financially invisible consumers, facilitating access to credit for those often overlooked by traditional credit bureaus.
Domino Data Lab
Series E in 2020
Domino Data Lab, Inc. offers an enterprise data science platform that supports both on-premise and cloud-based solutions for data analysis applications. Its primary offerings include Domino Cloud, a managed cloud infrastructure for running and scaling models, and Domino On-Premise, which allows clients to track and audit their analyses. The platform is designed to empower data science teams by enabling collaborative, reusable, and reproducible analysis. Domino Data Lab serves a diverse range of industries, including financial services, healthcare, manufacturing, media, technology, retail, and consumer products. The platform is utilized by model-driven organizations to accelerate research, enhance collaboration, and deliver impactful models efficiently. Founded in 2012 and based in San Francisco, California, the company was formerly known as Cerebro, Inc. before rebranding in 2015.
Knowde
Series A in 2020
Knowde operates an online marketplace focused on the chemical industry, enhancing the accessibility of trading chemicals, polymers, and industrial ingredients. Its platform utilizes advanced technologies, including deep learning and self-learning data models, to facilitate the search, filtering, sampling, quoting, and purchasing of products tailored to client specifications. By offering a comprehensive chemical taxonomy, Knowde empowers global chemical producers and distributors to transform their operations digitally. This innovative approach allows clients to compare and access products from suppliers worldwide, streamlining the procurement process in the chemical sector. The company has garnered support from prominent investors, highlighting its potential in revolutionizing how chemical transactions are conducted.
Tecton
Series A in 2020
Tecton offers an enterprise-ready feature store that addresses the unique data requirements of machine learning. By providing a robust data platform, Tecton enables machine learning teams to efficiently build, serve, and scale features for production use. The platform allows users to construct features from various data sources, including batch, streaming, and real-time data, facilitating the sharing, reuse, and deployment of models. This capability empowers data scientists and organizations to automate decisions at high speed, enhance customer experiences, and transform business processes. Tecton's focus on optimizing the data layer for machine learning aims to help companies develop superior models more rapidly, driving significant business outcomes.
Obviously AI
Seed Round in 2020
Obviously AI, Inc. is a company that specializes in developing cloud-based data science solutions. Founded in 2018 and based in Berkeley, California, the firm provides a platform that allows users to conduct complex predictions and analytics by posing questions in natural language, without the need for coding. Its technology employs data science and machine learning to interpret these questions, identify relevant data, and execute machine learning algorithms to generate predictions. The platform is designed to help businesses understand customer behavior and tailor marketing strategies by analyzing existing structured data. Ultimately, Obviously AI aims to empower organizations to leverage artificial intelligence effectively and efficiently.
Robust Intelligence
Series A in 2020
Robust Intelligence, Inc. is a San Francisco-based company founded in 2019 that focuses on enhancing the security and reliability of artificial intelligence systems. The company provides an automated platform designed to safeguard enterprises from AI security vulnerabilities by detecting and mitigating model threats. Its comprehensive solution includes proprietary red teaming, threat intelligence, and guardrails to ensure secure AI deployment in production. Robust Intelligence's platform features two key components: automated tests for pre-production models and quality assurance tests for in-production models. This dual approach enables clients to identify and eliminate contaminated data, thereby improving model performance in complex production environments.
BigPanda
Series C in 2019
BigPanda, Inc. is a software development company that specializes in a data science platform designed to centralize and correlate IT alerts for organizations. Founded in 2011 and headquartered in Mountain View, California, with an additional office in Tel Aviv, Israel, BigPanda's platform helps IT operations, network operations centers, and DevOps teams detect, investigate, and resolve IT incidents effectively. By leveraging advanced machine learning algorithms, the platform transforms numerous daily IT alerts from various fragmented systems into actionable insights, enabling users to automate incident management and improve overall service performance. BigPanda serves a diverse range of industries, including retail, technology, and media, with notable clients such as Intel, TiVO, and Workday, assisting them in reducing operational costs and enhancing their digital transformation efforts.
Orbital Insight
Series D in 2019
Orbital Insight, Inc. is a geospatial analytics company based in Palo Alto, California, established in 2013. The firm develops a cloud-based platform that employs artificial intelligence and machine learning to analyze vast amounts of geospatial data, including satellite imagery, mobile location signals, and other Internet of Things data. This technology enables organizations, including businesses, governments, and NGOs, to gain insights into societal and economic trends that may not be visible to the naked eye. Orbital Insight's products, such as Orbital Insight GO, GO Consumer, and GO Energy, provide users with actionable intelligence regarding infrastructure, supply chain dynamics, and energy resources. By transforming billions of data points into clear, usable information, the company supports data-driven decision-making in various sectors.
Trusting Social
Series A in 2019
Trusting Social is an AI fintech company focused on enhancing financial inclusion for underbanked populations through innovative credit risk and identity verification solutions. By utilizing proprietary machine learning algorithms and alternative data sources, Trusting Social provides financial institutions with consumer credit scores that extend beyond traditional methods. This enables lenders to assess credit risk, verify identity, and confidently offer loans to individuals who lack conventional credit histories. Operating in Vietnam, Indonesia, India, and the Philippines, Trusting Social's platform addresses the needs of financially invisible consumers, facilitating access to credit for those often overlooked by traditional credit bureaus.
CB4
Series B in 2019
CB4 is a provider of artificial intelligence solutions designed to assist retail teams in capturing lost sales and enhancing customer experiences. The company's software utilizes patented machine learning algorithms to analyze existing point-of-sale data, enabling the identification of physical issues that hinder sales and impact customer satisfaction. By generating customized lists of SKUs tailored to each store's unique selling patterns and operational conditions, CB4 highlights specific products that can significantly increase revenue. These recommendations address various operational inefficiencies, such as improper product placement, labeling errors, or inventory discrepancies. Retailers can implement quick fixes, like adjusting stock levels or repositioning products, to boost sales and meet customer demands. Over time, the system learns from the adjustments made by stores, allowing for increasingly valuable and actionable insights.
Robust Intelligence
Seed Round in 2019
Robust Intelligence, Inc. is a San Francisco-based company founded in 2019 that focuses on enhancing the security and reliability of artificial intelligence systems. The company provides an automated platform designed to safeguard enterprises from AI security vulnerabilities by detecting and mitigating model threats. Its comprehensive solution includes proprietary red teaming, threat intelligence, and guardrails to ensure secure AI deployment in production. Robust Intelligence's platform features two key components: automated tests for pre-production models and quality assurance tests for in-production models. This dual approach enables clients to identify and eliminate contaminated data, thereby improving model performance in complex production environments.
Tessian
Series B in 2019
Tessian’s mission is to secure the human layer. Using machine learning technology, Tessian automatically stops data breaches and security threats caused by human error - like data exfiltration, accidental data loss, business email compromise, and phishing attacks - with minimal disruption to employees' workflow. As a result, employees are empowered to do their best work, without security getting in their way. Founded in 2013, Tessian is backed by renowned investors like Sequoia, Accel, March Capital, and Balderton, and has offices in San Francisco and London.
BasisAI
Seed Round in 2019
BasisAI is a Singapore-based company that develops an artificial intelligence platform aimed at enhancing enterprise growth and managing risk. Its technology allows for the secure deployment of AI models, tracking data provenance, and monitoring algorithmic integrity. The platform is designed to facilitate AI adoption in various sectors, particularly targeting financial technology and Internet firms. By ensuring AI explainability and providing the necessary structures and frameworks, BasisAI enables enterprises to integrate advanced AI capabilities effectively and responsibly.
Graphcore
Series D in 2018
Graphcore Limited is a hardware systems company that specializes in developing intelligent processing units (IPUs) tailored for artificial intelligence and machine learning applications. Founded in 2016 and headquartered in Bristol, United Kingdom, the company offers products such as IPU-Accelerator cards, which enhance server performance for machine learning tasks, and IPU-Appliance systems that improve inference capabilities for various users. Graphcore's innovative IPU architecture allows developers to run existing machine learning models significantly faster, facilitating the deployment of advanced AI solutions across diverse servers and software environments. In addition to its Bristol headquarters, Graphcore has locations in Palo Alto, London, Oslo, and Beijing, expanding its global presence in the AI technology sector.
Numerify
Series D in 2018
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.
Domino Data Lab
Series D in 2018
Domino Data Lab, Inc. offers an enterprise data science platform that supports both on-premise and cloud-based solutions for data analysis applications. Its primary offerings include Domino Cloud, a managed cloud infrastructure for running and scaling models, and Domino On-Premise, which allows clients to track and audit their analyses. The platform is designed to empower data science teams by enabling collaborative, reusable, and reproducible analysis. Domino Data Lab serves a diverse range of industries, including financial services, healthcare, manufacturing, media, technology, retail, and consumer products. The platform is utilized by model-driven organizations to accelerate research, enhance collaboration, and deliver impactful models efficiently. Founded in 2012 and based in San Francisco, California, the company was formerly known as Cerebro, Inc. before rebranding in 2015.
Aibee
Angel Round in 2018
Aibee is an artificial intelligence startup founded in November 2017 by Dr. Yuanqing Lin, specializing in developing advanced technologies such as speech recognition, natural language processing, computer vision, and big data analytics. As a leading AI provider in China, Aibee focuses on delivering comprehensive AI solutions tailored to enhance and transform various vertical industries, particularly in the retail sector. The company's platform integrates multiple AI technologies to address industry-specific challenges, improve operational efficiency, and create new business opportunities for clients. By understanding the unique needs of its customers, Aibee aims to empower traditional industries with innovative tools and insights, thereby upgrading their capabilities and driving business value.
Pony.ai
Series A in 2018
Pony.ai, Inc. is a company specializing in the development of artificial intelligence software for autonomous vehicle technology. Founded in 2016 and headquartered in Fremont, California, with additional offices in San Francisco and China, Pony.ai focuses on creating systems that enable vehicles to navigate various driving conditions through advanced machine learning and algorithms. The company's technology enhances vehicle safety and functionality by accurately perceiving surroundings and predicting driver actions. In addition to its technology development, Pony.ai offers a public-facing Robotaxi service, showcasing its autonomous mobility solutions. The company collaborates with automotive manufacturers to integrate its innovative technology into commercial vehicles, contributing to the advancement of the autonomous driving industry.
Graphcore
Series C in 2017
Graphcore Limited is a hardware systems company that specializes in developing intelligent processing units (IPUs) tailored for artificial intelligence and machine learning applications. Founded in 2016 and headquartered in Bristol, United Kingdom, the company offers products such as IPU-Accelerator cards, which enhance server performance for machine learning tasks, and IPU-Appliance systems that improve inference capabilities for various users. Graphcore's innovative IPU architecture allows developers to run existing machine learning models significantly faster, facilitating the deployment of advanced AI solutions across diverse servers and software environments. In addition to its Bristol headquarters, Graphcore has locations in Palo Alto, London, Oslo, and Beijing, expanding its global presence in the AI technology sector.
VoxelCloud
Series A in 2017
VoxelCloud Inc. is a company specializing in cloud computing and artificial intelligence solutions aimed at enhancing the interpretation of medical images and clinical data for healthcare professionals. Founded in 2015 and headquartered in Los Angeles, California, VoxelCloud provides automated medical image analysis and diagnostics services utilizing proprietary algorithms and deep learning techniques. The company focuses on critical clinical areas, including lung cancer, diabetic retinopathy, coronary heart disease, and liver disease, ensuring that medical practitioners receive accurate and timely insights. In addition to its Los Angeles base, VoxelCloud has offices in Shanghai and Suzhou, China, and maintains a research and development team in Phoenix, further expanding its capabilities in the healthcare sector.
Hyper Anna
Series A in 2017
Hyper Anna is an innovative AI-powered analytics platform that provides major organizations worldwide, including Microsoft, IAG, Westpac, and Singtel, with the ability to analyze data and extract insights quickly and efficiently. With offices in Australia and Singapore, the platform allows users of all skill levels to make informed decisions by simplifying data analysis and eliminating repetitive tasks such as number crunching and presentation design. Hyper Anna connects to various databases and supports ad hoc analysis through easy configuration, enabling clients to harness the power of data for better business outcomes. Recognized by industry leaders like Gartner, CB Insights, KPMG, and Deloitte, Hyper Anna is positioned as a leading global innovator in the field of data analytics.
Orbital Insight
Series C in 2017
Orbital Insight, Inc. is a geospatial analytics company based in Palo Alto, California, established in 2013. The firm develops a cloud-based platform that employs artificial intelligence and machine learning to analyze vast amounts of geospatial data, including satellite imagery, mobile location signals, and other Internet of Things data. This technology enables organizations, including businesses, governments, and NGOs, to gain insights into societal and economic trends that may not be visible to the naked eye. Orbital Insight's products, such as Orbital Insight GO, GO Consumer, and GO Energy, provide users with actionable intelligence regarding infrastructure, supply chain dynamics, and energy resources. By transforming billions of data points into clear, usable information, the company supports data-driven decision-making in various sectors.
Domino Data Lab
Series C in 2017
Domino Data Lab, Inc. offers an enterprise data science platform that supports both on-premise and cloud-based solutions for data analysis applications. Its primary offerings include Domino Cloud, a managed cloud infrastructure for running and scaling models, and Domino On-Premise, which allows clients to track and audit their analyses. The platform is designed to empower data science teams by enabling collaborative, reusable, and reproducible analysis. Domino Data Lab serves a diverse range of industries, including financial services, healthcare, manufacturing, media, technology, retail, and consumer products. The platform is utilized by model-driven organizations to accelerate research, enhance collaboration, and deliver impactful models efficiently. Founded in 2012 and based in San Francisco, California, the company was formerly known as Cerebro, Inc. before rebranding in 2015.
Pony.ai
Seed Round in 2017
Pony.ai, Inc. is a company specializing in the development of artificial intelligence software for autonomous vehicle technology. Founded in 2016 and headquartered in Fremont, California, with additional offices in San Francisco and China, Pony.ai focuses on creating systems that enable vehicles to navigate various driving conditions through advanced machine learning and algorithms. The company's technology enhances vehicle safety and functionality by accurately perceiving surroundings and predicting driver actions. In addition to its technology development, Pony.ai offers a public-facing Robotaxi service, showcasing its autonomous mobility solutions. The company collaborates with automotive manufacturers to integrate its innovative technology into commercial vehicles, contributing to the advancement of the autonomous driving industry.
Cerebras Systems
Series C in 2017
Cerebras Systems Inc. is a company based in Los Altos, California, that specializes in manufacturing artificial intelligence chips tailored for deep learning applications. Founded in 2016, Cerebras Systems is dedicated to developing advanced computing systems designed to accelerate deep learning tasks. The company integrates its expertise in computer architecture and machine learning to create a new class of computer systems that significantly enhance AI performance. By employing innovative design principles, Cerebras Systems aims to transform the landscape of artificial intelligence through its pioneering technology.
Domino Data Lab
Series B in 2016
Domino Data Lab, Inc. offers an enterprise data science platform that supports both on-premise and cloud-based solutions for data analysis applications. Its primary offerings include Domino Cloud, a managed cloud infrastructure for running and scaling models, and Domino On-Premise, which allows clients to track and audit their analyses. The platform is designed to empower data science teams by enabling collaborative, reusable, and reproducible analysis. Domino Data Lab serves a diverse range of industries, including financial services, healthcare, manufacturing, media, technology, retail, and consumer products. The platform is utilized by model-driven organizations to accelerate research, enhance collaboration, and deliver impactful models efficiently. Founded in 2012 and based in San Francisco, California, the company was formerly known as Cerebro, Inc. before rebranding in 2015.
VoxelCloud
Seed Round in 2016
VoxelCloud Inc. is a company specializing in cloud computing and artificial intelligence solutions aimed at enhancing the interpretation of medical images and clinical data for healthcare professionals. Founded in 2015 and headquartered in Los Angeles, California, VoxelCloud provides automated medical image analysis and diagnostics services utilizing proprietary algorithms and deep learning techniques. The company focuses on critical clinical areas, including lung cancer, diabetic retinopathy, coronary heart disease, and liver disease, ensuring that medical practitioners receive accurate and timely insights. In addition to its Los Angeles base, VoxelCloud has offices in Shanghai and Suzhou, China, and maintains a research and development team in Phoenix, further expanding its capabilities in the healthcare sector.
Orbital Insight
Series B in 2016
Orbital Insight, Inc. is a geospatial analytics company based in Palo Alto, California, established in 2013. The firm develops a cloud-based platform that employs artificial intelligence and machine learning to analyze vast amounts of geospatial data, including satellite imagery, mobile location signals, and other Internet of Things data. This technology enables organizations, including businesses, governments, and NGOs, to gain insights into societal and economic trends that may not be visible to the naked eye. Orbital Insight's products, such as Orbital Insight GO, GO Consumer, and GO Energy, provide users with actionable intelligence regarding infrastructure, supply chain dynamics, and energy resources. By transforming billions of data points into clear, usable information, the company supports data-driven decision-making in various sectors.
Drawbridge
Series C in 2016
Drawbridge specializes in identity management solutions that utilize artificial intelligence and machine learning to connect brands with consumers across devices. The company's platform supports various functions, including advertising, personalization, content management, product recommendations, authentication, and risk detection. By addressing user-focused challenges, Drawbridge enables businesses to enhance customer experiences and gain deeper insights into their audience. Headquartered in Silicon Valley, the company has received backing from prominent investors and has been recognized for its innovative contributions, appearing on lists such as CNBC's Disruptor 50 and Fortune’s 50 Companies Leading the AI Revolution.
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.
Kahuna
Series B in 2015
Kahuna, Inc. specializes in developing and marketing marketing automation software designed to create highly personalized experiences for buyers and sellers in various marketplaces. Utilizing advanced machine-learning technology, the company offers solutions for cross-channel marketing, optimization, and analytics, aiming to enhance product and pricing strategies while fostering user trust and engagement. Kahuna has established itself as a preferred platform for marketplaces, with a substantial user base of over 144 million and a track record of sending more than 4 billion messages and optimizing 46 billion events. Founded in 2012 and headquartered in Redwood City, California, Kahuna serves notable clients such as The Dollar Shave Club, Yahoo, and Yelp, and has received investment from firms including Sequoia Capital and Tenaya Capital.
Orbital Insight
Series A in 2015
Orbital Insight, Inc. is a geospatial analytics company based in Palo Alto, California, established in 2013. The firm develops a cloud-based platform that employs artificial intelligence and machine learning to analyze vast amounts of geospatial data, including satellite imagery, mobile location signals, and other Internet of Things data. This technology enables organizations, including businesses, governments, and NGOs, to gain insights into societal and economic trends that may not be visible to the naked eye. Orbital Insight's products, such as Orbital Insight GO, GO Consumer, and GO Energy, provide users with actionable intelligence regarding infrastructure, supply chain dynamics, and energy resources. By transforming billions of data points into clear, usable information, the company supports data-driven decision-making in various sectors.
Spot something off? Help us improve by flagging any incorrect or outdated information. Just email us at support@teaserclub.com. Your feedback is most welcome.