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.

Larridin is a technology company that offers an AI-powered platform designed to optimize workforce productivity and operational efficiency for mid-to-large enterprises. Its core product, the Larridin Scorecard, provides a real-time, dynamic view of productivity and operational efficiency, similar to a FICO score for businesses. This scorecard, along with AI-driven insights and natural language query capabilities, helps leaders make informed decisions, optimize talent deployment, and identify high-impact AI opportunities. The platform integrates with multiple enterprise systems, offering a comprehensive view of performance across departments and geographies. Larridin serves CEOs, CFOs, CHROs, and CIOs in industries such as technology, financial services, healthcare, and manufacturing. The company is led by a team of experienced entrepreneurs and is backed by prominent investors, including Andreessen Horowitz.

Patlytics develops an artificial intelligence engine that automates various tasks in intellectual property workflows. Its platform streamlines processes such as building claim charts, patent-to-product mappings, asset classification, identifying valuable patents, invention disclosure submissions, and portfolio data comparison.

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 enables organizations to build, deploy, and manage AI-powered writing and content across departments such as operations, products, sales, human resources, and marketing. The platform combines an integrated suite of large language models, graph-based retrieval-augmented generation, AI guardrails, and development tools to create customizable applications for content generation, digital assistants, and data analysis, while ensuring secure and compliant operations and rapid deployment to improve productivity and drive innovation and 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 develops an AI-native platform for processing unstructured data stored in blob storage and CRMs. Its self-evolving AI engine transforms data intelligently, offering customizable models, privacy features, and scalability to help businesses make informed decisions, create engaging content, and manage data effectively.

Cambrium harnesses synthetic biology, machine learning, and lab automation to develop high-performance biomaterials. Its platform creates novel protein-based materials, including micro-molecular collagen for skin care formulations, addressing global challenges while aligning economic and environmental incentives.

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 develops an artificial intelligence engine that automates various tasks in intellectual property workflows. Its platform streamlines processes such as building claim charts, patent-to-product mappings, asset classification, identifying valuable patents, invention disclosure submissions, and portfolio data comparison.

JARS AI is a technology company that develops a web-based platform for creating personalized, interactive shows using advanced generative AI. The platform leverages multiple large language models to transform social chat prompts into short, real-time episodes, allowing users to enjoy content based on live chat submissions.

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 an AI-driven platform designed to assist software developers in navigating and modifying large codebases. It uses machine learning to automatically detect and diagnose errors, providing context-aware tools to enhance coding efficiency and improve overall code quality.

Lambda specializes in deep-learning infrastructure, offering cloud technology, servers, and workstations pre-configured with common ML frameworks. This enables clients to simplify and accelerate the training and deployment of deep learning models, empowering AI engineers to construct, test, and deploy AI products efficiently and securely.

Send AI is a developer of a sophisticated document processing platform that addresses the complexities of handling various text files. Unlike traditional single-page processing, the company’s platform enables users to manage multi-step workflows for extracting meaningful information from documents. It offers functionalities such as splitting bundled PDFs or emails, classifying content, rotating, deskewing, and removing scanned pages. Additionally, Send AI allows for the validation and enrichment of data using custom logic tailored to individual requirements. By leveraging natural language processing models, the platform automates the classification and extraction of relevant data, significantly improving the efficiency of processing large volumes of unstructured text documents. Users can configure and train their own setups while maintaining human oversight, ensuring control throughout the document handling 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 offers an artificial intelligence-driven decision-support engine for inventory management in commerce. The platform applies demand forecasting and stochastic optimization to help brands and retailers optimally produce, procure, promote, and allocate inventory. By aligning inventory with unpredictable demand, Syrup Tech aims to increase sell-through of full-priced stock while preventing stock-outs and end-of-season markdowns, reducing unnecessary excess and overproduction, and lowering manual planning workloads for merchandising and planning teams. The solution supports profitability and sustainability by improving inventory efficiency and reducing waste across retail operations.

CentML is a startup specializing in machine learning optimization. Its platform enables data scientists and engineers to identify and apply value optimizations to ML training and inference processes, resulting in reduced compute costs.

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 enables organizations to build, deploy, and manage AI-powered writing and content across departments such as operations, products, sales, human resources, and marketing. The platform combines an integrated suite of large language models, graph-based retrieval-augmented generation, AI guardrails, and development tools to create customizable applications for content generation, digital assistants, and data analysis, while ensuring secure and compliant operations and rapid deployment to improve productivity and drive innovation and return on investment.

ELSA is an AI-powered English learning platform focused on pronunciation and speaking. The platform features an AI Tutor and real-time conversational practice with personalized learning paths, as well as test and interview preparation. Its Speech Analyzer records learners to generate a comprehensive performance assessment and a tailored tutorial plan. Using speech recognition, ELSA identifies phoneme-level pronunciation errors and provides real-time phonetic guidance to help users 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 specializes in deep-learning infrastructure, offering cloud technology, servers, and workstations pre-configured with common ML frameworks. This enables clients to simplify and accelerate the training and deployment of deep learning models, empowering AI engineers to construct, test, and deploy AI products efficiently and securely.

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 offers an artificial intelligence-driven decision-support engine for inventory management in commerce. The platform applies demand forecasting and stochastic optimization to help brands and retailers optimally produce, procure, promote, and allocate inventory. By aligning inventory with unpredictable demand, Syrup Tech aims to increase sell-through of full-priced stock while preventing stock-outs and end-of-season markdowns, reducing unnecessary excess and overproduction, and lowering manual planning workloads for merchandising and planning teams. The solution supports profitability and sustainability by improving inventory efficiency and reducing waste across retail operations.

Krea offers a browser-based platform integrating various generative AI models for image and video creation, editing, and customization. Its tools include real-time image generation, video restyling, and 3D object creation, serving professionals from organizations like Pixar, LEGO, and Samsung.

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 develops autonomous dispatch and routing software for last-mile delivery, using machine learning to automatically schedule, monitor, and adjust routes in real time to improve fleet efficiency and customer service. The platform analyzes orders, optimizes routes, tracks progress and ETAs, and evaluates driver performance, while providing a customer portal with real-time order visibility. It also includes Smart Reservation Management that lets customers select delivery dates and times. Serving industries such as food and beverage, parcel and courier, retail, field service, and other logistics sectors, Wise Systems processes millions of data points to deliver thousands of decisions daily. The company originated from MIT research and operates from Massachusetts, delivering scalable solutions that reduce mileage, boost fleet utilization, and minimize late deliveries.

UnitQ is a product quality monitoring platform that leverages artificial intelligence to provide real-time insights into user feedback across multiple channels, languages, and regions. Headquartered in the United States, the company offers a software solution that helps organizations identify, quantify, and prioritize product bugs. By utilizing machine learning, UnitQ's platform efficiently processes omnichannel feedback, highlighting critical issues and categorizing them in a customizable dashboard. This enables companies to understand the impact of product launches and ongoing features, allowing them to address quality issues promptly and enhance user retention while reducing support ticket volumes.

Lambda specializes in deep-learning infrastructure, offering cloud technology, servers, and workstations pre-configured with common ML frameworks. This enables clients to simplify and accelerate the training and deployment of deep learning models, empowering AI engineers to construct, test, and deploy AI products efficiently and securely.

Streamlit, Inc. is a company that provides an open-source application framework specifically designed for data scientists and machine learning engineers. Founded in 2018 and based in San Francisco, California, Streamlit enables users to develop and deploy data science applications quickly and efficiently. Its framework allows for the creation of performant applications in just a few hours, facilitating the development of custom applications that enable interaction with data models. Streamlit's focus is on streamlining the process of building data applications, making it easier for professionals in the field to leverage their data effectively.

Fidap is a data analytics platform that enables data scientists and engineers to access billions of rows of external data on demand via a SQL interface, visualize custom data segments, and join external data with internal datasets through an API. It provides datasets across finance (crypto, equities, interest rates), location, and healthcare, along with sources such as weather, Wikipedia, and GitHub. The platform serves healthcare, investing, trading, developers, venture capital, real estate and retail, and aims to remove the data engineering burden associated with working with external data.

Labelbox, Inc. is a technology company that specializes in providing an AI-driven platform for data labeling and management. Founded in 2018 and headquartered in San Francisco, California, the company enables businesses to outsource their data annotation needs, facilitating the creation and management of datasets essential for machine learning applications. The platform features a visual workflow interface, annotation tools, quality control capabilities, and performance analytics, which collectively streamline the data labeling process. Labelbox supports teams in utilizing the latest advancements in generative AI and large language models, ensuring that AI systems receive appropriate human oversight and automation. Its services are utilized by prominent enterprises, including Walmart, Procter & Gamble, Genentech, and Adobe, as well as numerous leading AI teams across various industries.

ELSA is an AI-powered English learning platform focused on pronunciation and speaking. The platform features an AI Tutor and real-time conversational practice with personalized learning paths, as well as test and interview preparation. Its Speech Analyzer records learners to generate a comprehensive performance assessment and a tailored tutorial plan. Using speech recognition, ELSA identifies phoneme-level pronunciation errors and provides real-time phonetic guidance to help users 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 technology company specializing in artificial intelligence solutions for time series forecasting in the electricity sector. Founded in 2018 and based in San Francisco, California, the company offers a predictive energy usage platform as a forecasting service. Its AI-driven technology enables electricity companies to develop and implement their own forecasting models, enhancing their ability to predict future energy demand and supply. By leveraging automated machine learning techniques, Myst AI's platform allows energy providers to generate accurate forecasts, ultimately aiming to lower costs, reduce risk, and minimize waste in power consumption.

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 develops autonomous dispatch and routing software for last-mile delivery, using machine learning to automatically schedule, monitor, and adjust routes in real time to improve fleet efficiency and customer service. The platform analyzes orders, optimizes routes, tracks progress and ETAs, and evaluates driver performance, while providing a customer portal with real-time order visibility. It also includes Smart Reservation Management that lets customers select delivery dates and times. Serving industries such as food and beverage, parcel and courier, retail, field service, and other logistics sectors, Wise Systems processes millions of data points to deliver thousands of decisions daily. The company originated from MIT research and operates from Massachusetts, delivering scalable solutions that reduce mileage, boost fleet utilization, and minimize late deliveries.

Streamlit, Inc. is a company that provides an open-source application framework specifically designed for data scientists and machine learning engineers. Founded in 2018 and based in San Francisco, California, Streamlit enables users to develop and deploy data science applications quickly and efficiently. Its framework allows for the creation of performant applications in just a few hours, facilitating the development of custom applications that enable interaction with data models. Streamlit's focus is on streamlining the process of building data applications, making it easier for professionals in the field to leverage their data effectively.

UnitQ is a product quality monitoring platform that leverages artificial intelligence to provide real-time insights into user feedback across multiple channels, languages, and regions. Headquartered in the United States, the company offers a software solution that helps organizations identify, quantify, and prioritize product bugs. By utilizing machine learning, UnitQ's platform efficiently processes omnichannel feedback, highlighting critical issues and categorizing them in a customizable dashboard. This enables companies to understand the impact of product launches and ongoing features, allowing them to address quality issues promptly and enhance user retention while reducing support ticket volumes.

BenchSci is a developer of a research intelligence platform that leverages artificial intelligence and machine learning to enhance the efficiency of biomedical research. The company's technology translates both closed and open-access data into actionable recommendations for specific experiments, particularly in antibody extraction. By streamlining the experimental process, BenchSci allows researchers and scientists to conduct successful experiments more quickly and with reduced resource wastage. The platform is utilized by pharmaceutical companies and over 4,300 research centers globally, significantly contributing to the acceleration of drug discovery and biomedical advancements.

Labelbox, Inc. is a technology company that specializes in providing an AI-driven platform for data labeling and management. Founded in 2018 and headquartered in San Francisco, California, the company enables businesses to outsource their data annotation needs, facilitating the creation and management of datasets essential for machine learning applications. The platform features a visual workflow interface, annotation tools, quality control capabilities, and performance analytics, which collectively streamline the data labeling process. Labelbox supports teams in utilizing the latest advancements in generative AI and large language models, ensuring that AI systems receive appropriate human oversight and automation. Its services are utilized by prominent enterprises, including Walmart, Procter & Gamble, Genentech, and Adobe, as well as numerous leading AI teams across various industries.

TypingDNA, Inc. is a technology company that specializes in typing biometrics authentication solutions. Founded in 2016 and headquartered in Brooklyn, New York, with additional offices in Oradea and Bucharest, Romania, TypingDNA offers an innovative service that enables organizations to authenticate users based on their unique typing patterns. This technology compares current keystrokes with previously recorded typing behaviors, allowing for secure logins, password resets, and multi-factor authentication. The company's solutions are particularly beneficial for the financial services and education sectors, where they enhance security and combat fraud while maintaining a seamless user experience. By employing artificial intelligence algorithms, TypingDNA provides a more effective alternative to traditional two-factor authentication methods, enabling clients to better protect sensitive information without sacrificing usability.

Streamlit, Inc. is a company that provides an open-source application framework specifically designed for data scientists and machine learning engineers. Founded in 2018 and based in San Francisco, California, Streamlit enables users to develop and deploy data science applications quickly and efficiently. Its framework allows for the creation of performant applications in just a few hours, facilitating the development of custom applications that enable interaction with data models. Streamlit's focus is on streamlining the process of building data applications, making it easier for professionals in the field to leverage their data effectively.

BenchSci is a developer of a research intelligence platform that leverages artificial intelligence and machine learning to enhance the efficiency of biomedical research. The company's technology translates both closed and open-access data into actionable recommendations for specific experiments, particularly in antibody extraction. By streamlining the experimental process, BenchSci allows researchers and scientists to conduct successful experiments more quickly and with reduced resource wastage. The platform is utilized by pharmaceutical companies and over 4,300 research centers globally, significantly contributing to the acceleration of drug discovery and biomedical advancements.

AllyO automates talent acquisition and management using AI-powered chatbots. It offers an HR Communications Platform that reduces manual work, time, and cost for engaging candidates and employees. The platform covers recruiting automation (text-to-apply, screening, scheduling interviews) and HR automation (onboarding, pulse check-ins). AllyO's conversational AI achieves a 91% conversation completion rate and supports major talent acquisition systems.

Founded in 2013, Algorithmia provides a platform for deploying and managing machine learning models at scale. It enables algorithm developers to explore, create, and share algorithms as Web services, supporting popular frameworks like TensorFlow, PyTorch, and Scikit-learn. The company automates MLOps, empowering data scientists and developers while powering mission-critical workloads for its enterprise customers.

Lambda specializes in deep-learning infrastructure, offering cloud technology, servers, and workstations pre-configured with common ML frameworks. This enables clients to simplify and accelerate the training and deployment of deep learning models, empowering AI engineers to construct, test, and deploy AI products efficiently and securely.

Labelbox, Inc. is a technology company that specializes in providing an AI-driven platform for data labeling and management. Founded in 2018 and headquartered in San Francisco, California, the company enables businesses to outsource their data annotation needs, facilitating the creation and management of datasets essential for machine learning applications. The platform features a visual workflow interface, annotation tools, quality control capabilities, and performance analytics, which collectively streamline the data labeling process. Labelbox supports teams in utilizing the latest advancements in generative AI and large language models, ensuring that AI systems receive appropriate human oversight and automation. Its services are utilized by prominent enterprises, including Walmart, Procter & Gamble, Genentech, and Adobe, as well as numerous leading AI teams across various industries.

ELSA is an AI-powered English learning platform focused on pronunciation and speaking. The platform features an AI Tutor and real-time conversational practice with personalized learning paths, as well as test and interview preparation. Its Speech Analyzer records learners to generate a comprehensive performance assessment and a tailored tutorial plan. Using speech recognition, ELSA identifies phoneme-level pronunciation errors and provides real-time phonetic guidance to help users speak English fluently and confidently.

Wise Systems develops autonomous dispatch and routing software for last-mile delivery, using machine learning to automatically schedule, monitor, and adjust routes in real time to improve fleet efficiency and customer service. The platform analyzes orders, optimizes routes, tracks progress and ETAs, and evaluates driver performance, while providing a customer portal with real-time order visibility. It also includes Smart Reservation Management that lets customers select delivery dates and times. Serving industries such as food and beverage, parcel and courier, retail, field service, and other logistics sectors, Wise Systems processes millions of data points to deliver thousands of decisions daily. The company originated from MIT research and operates from Massachusetts, delivering scalable solutions that reduce mileage, boost fleet utilization, and minimize late deliveries.

Test.ai offers an AI-driven test automation platform for enhancing mobile app experiences. Its platform scales to test thousands of apps simultaneously without manual coding or maintenance. Test.ai focuses on automating critical user experience tests, allowing app teams to concentrate on improvements.

Labelbox, Inc. is a technology company that specializes in providing an AI-driven platform for data labeling and management. Founded in 2018 and headquartered in San Francisco, California, the company enables businesses to outsource their data annotation needs, facilitating the creation and management of datasets essential for machine learning applications. The platform features a visual workflow interface, annotation tools, quality control capabilities, and performance analytics, which collectively streamline the data labeling process. Labelbox supports teams in utilizing the latest advancements in generative AI and large language models, ensuring that AI systems receive appropriate human oversight and automation. Its services are utilized by prominent enterprises, including Walmart, Procter & Gamble, Genentech, and Adobe, as well as numerous leading AI teams across various industries.

Boon AI is a developer of a machine learning integration platform that focuses on making artificial intelligence and machine learning accessible to teams of various sizes. The company specializes in providing no-code and low-code tools that facilitate the implementation of machine learning analysis across different types of media and data. This enables data scientists, developers, and system integrators to enhance the modeling, training, and debugging processes of customizable applications. Founded by experts with extensive experience in visual assets and enterprise software, Boon AI aims to address the challenges of managing large digital asset databases and improve business intelligence through innovative visual search capabilities.

BenchSci is a developer of a research intelligence platform that leverages artificial intelligence and machine learning to enhance the efficiency of biomedical research. The company's technology translates both closed and open-access data into actionable recommendations for specific experiments, particularly in antibody extraction. By streamlining the experimental process, BenchSci allows researchers and scientists to conduct successful experiments more quickly and with reduced resource wastage. The platform is utilized by pharmaceutical companies and over 4,300 research centers globally, significantly contributing to the acceleration of drug discovery and biomedical advancements.

Scotty Labs, Inc. is a technology company based in Menlo Park, California, that specializes in enabling remote control of self-driving vehicles. Founded in 2017 as a spin-out of SRI International, the company focuses on a tele-operations platform that allows humans to virtually manage autonomous vehicles in complex environments. By emphasizing the collaboration between human operators and autonomous systems, Scotty Labs aims to address the challenges faced by driverless technology. Rather than pursuing complete vehicle autonomy, the company believes in the effectiveness of safe tele-operation as a solution that complements autonomous driving capabilities. This approach aims to enhance the driving experience while improving safety and efficiency, particularly in industries such as trucking, where maximizing revenue and minimizing costs are critical. As of August 2019, Scotty Labs operates as a subsidiary of DoorDash, Inc.

Myst AI Inc. is a technology company specializing in artificial intelligence solutions for time series forecasting in the electricity sector. Founded in 2018 and based in San Francisco, California, the company offers a predictive energy usage platform as a forecasting service. Its AI-driven technology enables electricity companies to develop and implement their own forecasting models, enhancing their ability to predict future energy demand and supply. By leveraging automated machine learning techniques, Myst AI's platform allows energy providers to generate accurate forecasts, ultimately aiming to lower costs, reduce risk, and minimize waste in power consumption.

AllyO automates talent acquisition and management using AI-powered chatbots. It offers an HR Communications Platform that reduces manual work, time, and cost for engaging candidates and employees. The platform covers recruiting automation (text-to-apply, screening, scheduling interviews) and HR automation (onboarding, pulse check-ins). AllyO's conversational AI achieves a 91% conversation completion rate and supports major talent acquisition systems.

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 AI modeling. This innovative approach is designed for use in autonomous vehicles, enhancing their perception and awareness capabilities through advanced deep learning techniques. By combining multiple sensing technologies, Aurima aims to improve the safety and efficiency of autonomous systems.

Founded in 2015, Cogniac designs and develops an enterprise platform for AI-grade visual observation. Its platform enables users to automate various visual tasks by connecting diverse media sources, defining use cases, monitoring performance, and integrating real-time alerts.

Founded in 2013, Algorithmia provides a platform for deploying and managing machine learning models at scale. It enables algorithm developers to explore, create, and share algorithms as Web services, supporting popular frameworks like TensorFlow, PyTorch, and Scikit-learn. The company automates MLOps, empowering data scientists and developers while powering mission-critical workloads for its enterprise customers.