Gradient Ventures

Toku operates an online financial platform designed for B2C companies, focusing on the automation of collections and streamlining the payment process. The platform leverages machine learning to optimize the collection of recurring payments, thereby reducing late payments and enhancing operational efficiency. Toku also provides features that allow companies to manage automatic payment methods, including inactivation and deactivation. By facilitating payment orchestration and offering account-to-account payments, Toku aims to lower payment fees and improve the overall financial operations of its clients.

Patlytics is a developer of an artificial intelligence-powered platform that streamlines the entire patent lifecycle. The platform provides a range of features, including patent drafting, prosecution, litigation readiness, competitive landscape analysis, and real-time alerts and reports. By leveraging advanced technology, Patlytics enhances patent workflow efficiency, helping businesses to effectively manage their intellectual property portfolios and maintain a competitive edge in the market.

CTGT specializes in developing secure, enterprise-grade AI solutions. It focuses on creating efficient and reliable AI systems that minimize errors and maximize return on investment. The company's core product is an AI platform designed to simplify the development and deployment of large language models. CTGT's platform employs advanced techniques to mitigate hallucinations and control model behavior, ensuring safe AI deployment in critical sectors such as finance and healthcare.

Bundled managed open source AI infrastructure

Writer is a full-stack generative AI platform that assists businesses in leveraging large language models for content generation across various departments, such as operations, marketing, and human resources. The platform features an integrated system of large language models, graph-based retrieval-augmented generation, AI guardrails, and development tools, facilitating the deployment of AI applications and workflows. By providing organized workflows, Writer enables organizations to produce consistent and on-brand content, ultimately enhancing operational efficiency and delivering a significant return on investment.

Cascade AI was created specifically for HR since HR affects more lives and touches more business demands than any other department in a company.

Roe AI is an AI-native data platform that focuses on processing unstructured data stored in blob storage and customer relationship management systems (CRMs). Its self-evolving artificial intelligence engine enhances data intelligence for organizations of various sizes by intelligently transforming unstructured data. The platform offers features such as customized AI models, privacy, and scalability, empowering businesses to make better decisions, create more engaging content, and manage their data more effectively to achieve their goals.

Cambrium is focused on advancing material innovation by leveraging nature's protein building blocks. The company employs a combination of synthetic biology, machine learning, and lab automation to develop high-performance materials at scale. Cambrium specializes in creating micro-molecular and skin-identical collagen tailored for effective skincare formulations. Its innovative molecular design technology harnesses proteins with unique functionalities, allowing for the production of materials that are beneficial for both consumers and the environment. By aligning economic and environmental incentives, Cambrium aims to position biology as a key manufacturing technology for the future, addressing critical global challenges through the development of sustainable biomaterials.

Toku operates an online financial platform designed for B2C companies, focusing on the automation of collections and streamlining the payment process. The platform leverages machine learning to optimize the collection of recurring payments, thereby reducing late payments and enhancing operational efficiency. Toku also provides features that allow companies to manage automatic payment methods, including inactivation and deactivation. By facilitating payment orchestration and offering account-to-account payments, Toku aims to lower payment fees and improve the overall financial operations of its clients.

Patlytics is a developer of an artificial intelligence-powered platform that streamlines the entire patent lifecycle. The platform provides a range of features, including patent drafting, prosecution, litigation readiness, competitive landscape analysis, and real-time alerts and reports. By leveraging advanced technology, Patlytics enhances patent workflow efficiency, helping businesses to effectively manage their intellectual property portfolios and maintain a competitive edge in the market.

Foundational is a data management platform that helps developers understand the lineage and downstream impact of code changes. Addressing data issues can be both expensive and needlessly intricate. Foundational's Code Intelligence Engine scrutinizes code alterations to identify issues, unveil concealed dependencies, and assess downstream ramifications well in advance of any interaction with live data. Foundational's code-based data lineage extends beyond the conventional coverage offered by standard warehouse and BI tools, encompassing a comprehensive analysis across various platforms such as Airflow, Spark, dbt, and more. This solution provides column-level lineage throughout the entire data stack. Notably, the process is fully automated, requiring zero code or configuration changes. The lineage information remains consistently up-to-date, seamlessly reflecting the latest code merged into the system.

Adrenaline is a code intelligence platform that leverages artificial intelligence to assist developers in managing and modifying extensive codebases. The platform features an AI-powered debugging tool that automatically diagnoses and resolves errors in code. By utilizing machine learning, Adrenaline detects errors in real-time and offers context-aware solutions that consider the specific code and environment where the errors arise. This approach enables developers to save time and enhance code quality by minimizing the need for manual searches for error explanations online.

Lambda is a technology company specializing in deep-learning infrastructure. It provides cloud computing services tailored for large-scale artificial intelligence training and inference. The company offers servers and workstations pre-configured with popular machine learning frameworks, allowing clients to simplify and accelerate the development of complex AI models for tasks such as natural language processing and drug discovery. Lambda's product range includes on-premises GPU hardware and cloud-hosted GPUs, empowering AI engineers to construct, test, and deploy AI products efficiently and securely at scale.

Send AI specializes in advanced document processing by offering a platform that caters to the unique requirements of handling complex text files. The company enables users to automate the processing of unstructured documents, such as PDFs and emails, through a multifaceted approach that includes splitting, classifying, rotating, and enhancing scanned pages. By utilizing natural language processing models, Send AI helps organizations efficiently extract relevant information and manage large volumes of data. Users can configure and train the platform according to their specific needs while maintaining human oversight to ensure control over the process.

Mine is a technology company focused on empowering individuals to take control of their personal data online. The platform allows users to quickly identify companies that hold their sensitive information, including personal, financial, and health data. By integrating with users' email, Mine scans interactions to determine potential data holdings and facilitates a simple process for users to request data deletion from those companies. This capability supports users' rights to privacy and helps minimize their online exposure, reducing potential risks associated with data breaches and misuse. Ultimately, Mine promotes the concept of data ownership as a fundamental human right, ensuring that individuals can manage their personal information effectively.

Syrup Tech is a technology company specializing in machine learning and artificial intelligence to optimize inventory management in the retail and apparel sectors. Its decision-support engine leverages advanced demand forecasting and stochastic optimizations to help brands and retailers improve their inventory sell-through rates. By preventing stock-outs and end-of-season markdowns, reducing unnecessary excess inventory, and streamlining manual tasks for merchandising and planning teams, Syrup Tech enables its clients to enhance profitability and sustainability. The company's solutions are designed to assist retailers in effectively producing, procuring, and allocating inventory, ultimately driving better business outcomes.

CentML is a machine learning startup focused on providing optimization solutions for both ML inference and training processes. Its platform enables data scientists and engineers to identify and implement value optimizations, thereby reducing computational costs associated with machine learning workloads. By enhancing the efficiency of training and inference, CentML aims to make machine learning more accessible and affordable for a wider range of clients.

Humata is an AI research assistant that provides answers to questions asked by the user on files such as technical papers and reports. It also allows users to upload files and documents.

Writer is a full-stack generative AI platform that assists businesses in leveraging large language models for content generation across various departments, such as operations, marketing, and human resources. The platform features an integrated system of large language models, graph-based retrieval-augmented generation, AI guardrails, and development tools, facilitating the deployment of AI applications and workflows. By providing organized workflows, Writer enables organizations to produce consistent and on-brand content, ultimately enhancing operational efficiency and delivering a significant return on investment.

ELSA is an advanced language learning platform focused on enhancing English pronunciation through artificial intelligence and speech recognition technology. It offers a comprehensive suite of features, including an AI Tutor that provides a realistic conversational experience and real-time feedback. Users benefit from personalized learning paths, speaking lessons, and preparation for tests and interviews. The platform's innovative Speech Analyzer allows learners to record their speech and receive detailed performance assessments, along with tailored tutorial plans to improve their skills. By addressing phoneme-level pronunciation errors, ELSA empowers users to speak English fluently and confidently.

Building powerful data apps requires time and the integration of multiple tools. Dozer is an open-source platform that gives you a simple platform to transform, cache, and integrate data into your applications. Just connect any data source, combine them in real-time and instantly get low-latency Data APIs. All with just a simple configuration!

Lambda is a technology company specializing in deep-learning infrastructure. It provides cloud computing services tailored for large-scale artificial intelligence training and inference. The company offers servers and workstations pre-configured with popular machine learning frameworks, allowing clients to simplify and accelerate the development of complex AI models for tasks such as natural language processing and drug discovery. Lambda's product range includes on-premises GPU hardware and cloud-hosted GPUs, empowering AI engineers to construct, test, and deploy AI products efficiently and securely at scale.

Mage is a developer of an open-source coding tool that empowers businesses to leverage artificial intelligence for predictive analytics. The platform enables users to create and deploy machine-learning models efficiently, allowing for applications in areas such as churn prevention, product recommendations, and customer lifetime value assessment. By facilitating the import and transformation of data from various sources, Mage's technology simplifies the process of building, training, and integrating data into applications. The company's mission is to make AI technology accessible, enabling businesses to enhance customer experiences through innovative solutions.

Syrup Tech is a technology company specializing in machine learning and artificial intelligence to optimize inventory management in the retail and apparel sectors. Its decision-support engine leverages advanced demand forecasting and stochastic optimizations to help brands and retailers improve their inventory sell-through rates. By preventing stock-outs and end-of-season markdowns, reducing unnecessary excess inventory, and streamlining manual tasks for merchandising and planning teams, Syrup Tech enables its clients to enhance profitability and sustainability. The company's solutions are designed to assist retailers in effectively producing, procuring, and allocating inventory, ultimately driving better business outcomes.

KREA operates an artificial intelligence platform that enables users to create images from text prompts and save them in personalized collections. The platform allows users to train a tailored AI using their own images, adapting it to individual styles. Additionally, KREA provides access to millions of AI-generated images, offering inspiration and insight for various projects.

Mage is a developer of an open-source coding tool that empowers businesses to leverage artificial intelligence for predictive analytics. The platform enables users to create and deploy machine-learning models efficiently, allowing for applications in areas such as churn prevention, product recommendations, and customer lifetime value assessment. By facilitating the import and transformation of data from various sources, Mage's technology simplifies the process of building, training, and integrating data into applications. The company's mission is to make AI technology accessible, enabling businesses to enhance customer experiences through innovative solutions.

Wise Systems Inc. develops autonomous dispatch and routing software that enhances delivery efficiency for various industries, including food, beverage, courier, energy, and field service. Founded in 2014 and based in Cambridge, Massachusetts, the company leverages machine learning algorithms to optimize last-mile operations. Its platform includes tools such as Scheduler, which dynamically creates and dispatches optimized route plans; Dispatcher, which allows managers to monitor delivery progress and driver performance; and Customer Portal, enabling recipients to track their orders with real-time ETAs. Wise Systems also offers Smart Reservation Management, allowing customers to select their preferred delivery times. Clients typically experience significant benefits, including reductions in mileage and late deliveries, as well as increased fleet utilization. The software processes millions of data points to make real-time decisions, facilitating efficient transportation operations while reducing costs.

UnitQ is an AI-enabled platform that specializes in real-time product quality monitoring. Headquartered in the United States, the company provides a solution that allows organizations to collect and analyze user feedback from various channels and languages. This enables businesses to identify, quantify, and prioritize product bugs effectively. By utilizing machine learning, unitQ's software detects issues across applications and offers real-time translation tools to categorize and display data on a customizable dashboard. This approach helps companies quickly address critical quality issues, understand the impact of product launches, and reduce support ticket volumes, ultimately enhancing user retention and satisfaction.

Lambda is a technology company specializing in deep-learning infrastructure. It provides cloud computing services tailored for large-scale artificial intelligence training and inference. The company offers servers and workstations pre-configured with popular machine learning frameworks, allowing clients to simplify and accelerate the development of complex AI models for tasks such as natural language processing and drug discovery. Lambda's product range includes on-premises GPU hardware and cloud-hosted GPUs, empowering AI engineers to construct, test, and deploy AI products efficiently and securely at scale.

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.

Fidap provides a cloud-native platform that allows data scientists and engineers to access vast amounts of clean, ready-to-use external data through a SQL interface. This service facilitates advanced analytics and machine learning by enabling users to visualize customized data sets directly on the platform or integrate them with internal data via an API. The diverse datasets offered include financial data such as cryptocurrencies and equities, demographic information from census data, and healthcare data related to Covid, among others. Fidap's solution abstracts the complexities of data engineering, allowing users to focus on analysis and insights without the need for extensive data preparation.

Labelbox, Inc. is a company that operates an artificial intelligence-based platform focused on data labeling and management services. Founded in 2018 and headquartered in San Francisco, California, Labelbox enables organizations to efficiently create, manage, and maintain datasets for machine learning applications. Its platform features a visual workflow interface, annotation tools, and quality control functionalities, which help businesses reduce model development times and enhance the capabilities of their data science teams. Used by numerous Fortune 500 companies such as Walmart, Procter & Gamble, Genentech, and Adobe, Labelbox supports teams in leveraging advances in generative AI and large language models by providing the right balance of human supervision and automation. The company is backed by prominent investors, including SoftBank and Andreessen Horowitz.

ELSA is an advanced language learning platform focused on enhancing English pronunciation through artificial intelligence and speech recognition technology. It offers a comprehensive suite of features, including an AI Tutor that provides a realistic conversational experience and real-time feedback. Users benefit from personalized learning paths, speaking lessons, and preparation for tests and interviews. The platform's innovative Speech Analyzer allows learners to record their speech and receive detailed performance assessments, along with tailored tutorial plans to improve their skills. By addressing phoneme-level pronunciation errors, ELSA empowers users to speak English fluently and confidently.

Mine is a technology company focused on empowering individuals to take control of their personal data online. The platform allows users to quickly identify companies that hold their sensitive information, including personal, financial, and health data. By integrating with users' email, Mine scans interactions to determine potential data holdings and facilitates a simple process for users to request data deletion from those companies. This capability supports users' rights to privacy and helps minimize their online exposure, reducing potential risks associated with data breaches and misuse. Ultimately, Mine promotes the concept of data ownership as a fundamental human right, ensuring that individuals can manage their personal information effectively.

Myst AI Inc. is a San Francisco-based company founded in 2018 that specializes in developing an artificial intelligence platform focused on time series forecasting for the electricity sector. The company provides a predictive energy usage platform, marketed as forecasting as a service, which enables electricity companies to create and implement their own forecasting models. By leveraging automated machine learning techniques, Myst AI enhances the accuracy of demand and supply predictions, helping energy firms reduce costs, mitigate risks, and minimize waste. This innovative approach allows data scientists and energy companies to effectively analyze and manage power consumption, ultimately improving profitability and operational efficiency.

Spotter Labs Inc. is a software company focused on the long-haul trucking industry, offering an AI-powered platform that streamlines the load selection process for fleet owners. By analyzing criteria such as rate, schedule, and fuel costs, the software helps identify the most suitable shipments for individual trucks and drivers. In addition to load selection, Spotter provides drivers with detailed pickup and drop-off instructions, enhancing operational efficiency. Based in Nashville, Texas, Spotter aims to automate repetitive tasks in trucking logistics, ultimately increasing revenue for its users.

Wise Systems Inc. develops autonomous dispatch and routing software that enhances delivery efficiency for various industries, including food, beverage, courier, energy, and field service. Founded in 2014 and based in Cambridge, Massachusetts, the company leverages machine learning algorithms to optimize last-mile operations. Its platform includes tools such as Scheduler, which dynamically creates and dispatches optimized route plans; Dispatcher, which allows managers to monitor delivery progress and driver performance; and Customer Portal, enabling recipients to track their orders with real-time ETAs. Wise Systems also offers Smart Reservation Management, allowing customers to select their preferred delivery times. Clients typically experience significant benefits, including reductions in mileage and late deliveries, as well as increased fleet utilization. The software processes millions of data points to make real-time decisions, facilitating efficient transportation operations while reducing costs.

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.

UnitQ is an AI-enabled platform that specializes in real-time product quality monitoring. Headquartered in the United States, the company provides a solution that allows organizations to collect and analyze user feedback from various channels and languages. This enables businesses to identify, quantify, and prioritize product bugs effectively. By utilizing machine learning, unitQ's software detects issues across applications and offers real-time translation tools to categorize and display data on a customizable dashboard. This approach helps companies quickly address critical quality issues, understand the impact of product launches, and reduce support ticket volumes, ultimately enhancing user retention and satisfaction.

BenchSci is a developer of a research intelligence platform that leverages advanced artificial intelligence and machine learning to enhance biomedical discoveries. By translating both closed and open-access data into actionable recommendations, BenchSci enables researchers to optimize experiments, particularly in the area of antibody extraction. This innovative approach allows scientists to conduct more successful experiments efficiently, minimizing resource waste and accelerating drug discovery. The company's technology is utilized by pharmaceutical companies and over 4,300 research centers globally, underscoring its significant impact on the scientific community. BenchSci is backed by notable investors, including F-Prime, Gradient Ventures, and Inovia Capital.

Labelbox, Inc. is a company that operates an artificial intelligence-based platform focused on data labeling and management services. Founded in 2018 and headquartered in San Francisco, California, Labelbox enables organizations to efficiently create, manage, and maintain datasets for machine learning applications. Its platform features a visual workflow interface, annotation tools, and quality control functionalities, which help businesses reduce model development times and enhance the capabilities of their data science teams. Used by numerous Fortune 500 companies such as Walmart, Procter & Gamble, Genentech, and Adobe, Labelbox supports teams in leveraging advances in generative AI and large language models by providing the right balance of human supervision and automation. The company is backed by prominent investors, including SoftBank and Andreessen Horowitz.

TypingDNA, Inc. specializes in typing biometrics authentication solutions, providing a service that enables companies to identify users based on their unique typing patterns. Founded in 2016 and headquartered in Brooklyn, New York, with additional operations in Romania, the company offers application programming interfaces for secure login, password resets, and online biometric authentication. Its solutions cater primarily to the financial services and education sectors, focusing on strong customer authentication, multi-factor authentication, and behavioral biometrics. TypingDNA's technology allows for a simple training process that records user keystrokes, enabling the recognition of returning users for applications such as authentication, fraud detection, and online assessments. This innovative approach aims to enhance security while maintaining a seamless user experience.

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.

BenchSci is a developer of a research intelligence platform that leverages advanced artificial intelligence and machine learning to enhance biomedical discoveries. By translating both closed and open-access data into actionable recommendations, BenchSci enables researchers to optimize experiments, particularly in the area of antibody extraction. This innovative approach allows scientists to conduct more successful experiments efficiently, minimizing resource waste and accelerating drug discovery. The company's technology is utilized by pharmaceutical companies and over 4,300 research centers globally, underscoring its significant impact on the scientific community. BenchSci is backed by notable investors, including F-Prime, Gradient Ventures, and Inovia Capital.

AllyO is a leading provider of AI-powered solutions for human resources, specializing in automating talent acquisition and management. The company collaborates with a significant portion of Fortune 50 companies to enhance HR communication and streamline processes, reducing administrative burdens and inefficiencies. AllyO's innovative platform features AI-driven chatbots that facilitate various HR functions, including recruitment, onboarding, and employee engagement. This technology allows employers to automate tasks such as screening candidates, scheduling interviews, and conducting exit interviews, which improves efficiency and employee satisfaction. The platform also supports multiple communication channels, including text messaging and email, resulting in high conversation completion and talent satisfaction rates. AllyO's services are designed to integrate seamlessly with existing HR systems, ensuring compliance with security standards and regulations. With substantial backing from top-tier investors, the company has experienced significant growth and is committed to transforming the HR landscape through intelligent automation.

Algorithmia, Inc. provides a platform that facilitates the deployment and management of machine learning models. Founded in 2013 and headquartered in Seattle, Washington, the company enables algorithm developers to create, explore, and share algorithms as web services. Its solution automates MLOps, allowing data scientists and developers to efficiently deploy models into production through a scalable API that can handle various algorithm requests. Algorithmia supports popular frameworks such as TensorFlow, PyTorch, Scikit-learn, and MXNet, and also hosts a public marketplace for algorithms. The company was acquired by DataRobot in 2021, enhancing its capabilities in serving enterprise customers with mission-critical workloads.

Lambda is a technology company specializing in deep-learning infrastructure. It provides cloud computing services tailored for large-scale artificial intelligence training and inference. The company offers servers and workstations pre-configured with popular machine learning frameworks, allowing clients to simplify and accelerate the development of complex AI models for tasks such as natural language processing and drug discovery. Lambda's product range includes on-premises GPU hardware and cloud-hosted GPUs, empowering AI engineers to construct, test, and deploy AI products efficiently and securely at scale.

Labelbox, Inc. is a company that operates an artificial intelligence-based platform focused on data labeling and management services. Founded in 2018 and headquartered in San Francisco, California, Labelbox enables organizations to efficiently create, manage, and maintain datasets for machine learning applications. Its platform features a visual workflow interface, annotation tools, and quality control functionalities, which help businesses reduce model development times and enhance the capabilities of their data science teams. Used by numerous Fortune 500 companies such as Walmart, Procter & Gamble, Genentech, and Adobe, Labelbox supports teams in leveraging advances in generative AI and large language models by providing the right balance of human supervision and automation. The company is backed by prominent investors, including SoftBank and Andreessen Horowitz.

ELSA is an advanced language learning platform focused on enhancing English pronunciation through artificial intelligence and speech recognition technology. It offers a comprehensive suite of features, including an AI Tutor that provides a realistic conversational experience and real-time feedback. Users benefit from personalized learning paths, speaking lessons, and preparation for tests and interviews. The platform's innovative Speech Analyzer allows learners to record their speech and receive detailed performance assessments, along with tailored tutorial plans to improve their skills. By addressing phoneme-level pronunciation errors, ELSA empowers users to speak English fluently and confidently.

Wise Systems Inc. develops autonomous dispatch and routing software that enhances delivery efficiency for various industries, including food, beverage, courier, energy, and field service. Founded in 2014 and based in Cambridge, Massachusetts, the company leverages machine learning algorithms to optimize last-mile operations. Its platform includes tools such as Scheduler, which dynamically creates and dispatches optimized route plans; Dispatcher, which allows managers to monitor delivery progress and driver performance; and Customer Portal, enabling recipients to track their orders with real-time ETAs. Wise Systems also offers Smart Reservation Management, allowing customers to select their preferred delivery times. Clients typically experience significant benefits, including reductions in mileage and late deliveries, as well as increased fleet utilization. The software processes millions of data points to make real-time decisions, facilitating efficient transportation operations while reducing costs.

Labelbox, Inc. is a company that operates an artificial intelligence-based platform focused on data labeling and management services. Founded in 2018 and headquartered in San Francisco, California, Labelbox enables organizations to efficiently create, manage, and maintain datasets for machine learning applications. Its platform features a visual workflow interface, annotation tools, and quality control functionalities, which help businesses reduce model development times and enhance the capabilities of their data science teams. Used by numerous Fortune 500 companies such as Walmart, Procter & Gamble, Genentech, and Adobe, Labelbox supports teams in leveraging advances in generative AI and large language models by providing the right balance of human supervision and automation. The company is backed by prominent investors, including SoftBank and Andreessen Horowitz.

Boon AI specializes in creating accessible machine learning solutions for teams of varying sizes, focusing on no-code and low-code tools that simplify the integration of artificial intelligence and machine learning. The company’s platform facilitates machine learning analysis across diverse media and data types, empowering data scientists, developers, and system integrators to streamline the modeling, training, and debugging processes for customizable applications. Founded by experts with significant accolades in the visual asset domain, Boon AI aims to address the challenges organizations face in managing extensive digital asset databases, leveraging its expertise to enhance user experiences through deep learning and data integration.

BenchSci is a developer of a research intelligence platform that leverages advanced artificial intelligence and machine learning to enhance biomedical discoveries. By translating both closed and open-access data into actionable recommendations, BenchSci enables researchers to optimize experiments, particularly in the area of antibody extraction. This innovative approach allows scientists to conduct more successful experiments efficiently, minimizing resource waste and accelerating drug discovery. The company's technology is utilized by pharmaceutical companies and over 4,300 research centers globally, underscoring its significant impact on the scientific community. BenchSci is backed by notable investors, including F-Prime, Gradient Ventures, and Inovia Capital.

Scotty Labs, Inc. is a technology company based in Menlo Park, California, that focuses on remote control of self-driving cars through its tele-operations platform. Incorporated in 2017, the company originated as a spin-out from SRI International. Scotty Labs aims to enhance the driving experience by allowing humans to virtually control vehicles in complex environments, addressing the challenges that fully autonomous vehicles face. The company's approach emphasizes a human-centric autonomy model, asserting that safe tele-operation can be more effective than complete vehicle autonomy. By integrating human oversight with advanced technology, Scotty Labs seeks to improve efficiency in industries like trucking, maximizing revenue while reducing operational costs. As of August 2019, Scotty Labs operates as a subsidiary of DoorDash, Inc.

Myst AI Inc. is a San Francisco-based company founded in 2018 that specializes in developing an artificial intelligence platform focused on time series forecasting for the electricity sector. The company provides a predictive energy usage platform, marketed as forecasting as a service, which enables electricity companies to create and implement their own forecasting models. By leveraging automated machine learning techniques, Myst AI enhances the accuracy of demand and supply predictions, helping energy firms reduce costs, mitigate risks, and minimize waste. This innovative approach allows data scientists and energy companies to effectively analyze and manage power consumption, ultimately improving profitability and operational efficiency.

AllyO is a leading provider of AI-powered solutions for human resources, specializing in automating talent acquisition and management. The company collaborates with a significant portion of Fortune 50 companies to enhance HR communication and streamline processes, reducing administrative burdens and inefficiencies. AllyO's innovative platform features AI-driven chatbots that facilitate various HR functions, including recruitment, onboarding, and employee engagement. This technology allows employers to automate tasks such as screening candidates, scheduling interviews, and conducting exit interviews, which improves efficiency and employee satisfaction. The platform also supports multiple communication channels, including text messaging and email, resulting in high conversation completion and talent satisfaction rates. AllyO's services are designed to integrate seamlessly with existing HR systems, ensuring compliance with security standards and regulations. With substantial backing from top-tier investors, the company has experienced significant growth and is committed to transforming the HR landscape through intelligent automation.

Aurima, Inc. is a technology company based in Mountain View, California, founded in 2017. It specializes in developing an alternative sensing modality that integrates radar and camera sensors with deep artificial intelligence (AI) modeling. This innovative approach aims to enhance the capabilities of autonomous vehicles by providing advanced awareness through a multi-sensor platform. Aurima's focus on combining these technologies positions it as a key player in the rapidly evolving field of autonomous driving.

Cogniac Corporation is a technology company based in San Jose, California, founded in 2015. It specializes in developing an enterprise platform designed for AI-grade visual observation, enabling businesses to automate various visual tasks efficiently. The platform allows users to connect machine vision cameras, security cameras, drones, and mobile images, facilitating the definition of use cases and objects of interest relevant to their media. Cogniac's technology leverages advanced deep learning to extract valuable information from vast streams of video and image data, achieving performance levels that often surpass human capabilities in focused observation tasks. Its applications span across industrial, manufacturing, and safety and security sectors, providing real-time alerts and feedback to enhance application performance and visual data management.

Algorithmia, Inc. provides a platform that facilitates the deployment and management of machine learning models. Founded in 2013 and headquartered in Seattle, Washington, the company enables algorithm developers to create, explore, and share algorithms as web services. Its solution automates MLOps, allowing data scientists and developers to efficiently deploy models into production through a scalable API that can handle various algorithm requests. Algorithmia supports popular frameworks such as TensorFlow, PyTorch, Scikit-learn, and MXNet, and also hosts a public marketplace for algorithms. The company was acquired by DataRobot in 2021, enhancing its capabilities in serving enterprise customers with mission-critical workloads.