Zero Prime Ventures

HoneyHive Cloud is an enterprise platform purpose-built for testing, debugging, and monitoring LLM apps.

Pydantic is a technology company that specializes in developing an open-source data validation framework for Python, which utilizes type hints to streamline the data validation process. This framework enables developers to efficiently handle untrusted external data by ensuring it conforms to expected schemas. When data entries are invalid, the system provides user-friendly error messages, facilitating easier debugging and reducing development time. In addition to its core framework, Pydantic operates an observability platform known as Pydantic Logfire, further enhancing its offerings for developers by improving data monitoring and management capabilities. Through its innovative solutions, Pydantic aims to simplify the complexities of data handling in software development.

Runware is a technology company that specializes in designing, manufacturing, and marketing intelligent electronic accessories for smartphones. Notably, they have developed an AI-powered generative media platform that combines proprietary hardware with accelerated software. This platform offers lightning-fast text-to-image and image-to-image generation speeds, with 0.3 seconds for Stable Diffusion 1.5 and 0.9 seconds for Stable Diffusion XL, all accessible through a single powerful API. The platform is hosted in self-managed data centers and powered by green energy, providing users with a flexible API for integration into their business operations.

Phidata is a software-as-a-service (SAAS) company that specializes in developing tools for enhancing large language models (LLMs). Its platform facilitates the creation of AI assistants by integrating features such as memory and knowledge capabilities, as well as a suite of tools that includes APIs, query execution, and email functionalities. Additionally, Phidata provides monitoring, evaluation, and comparison capabilities for various models, allowing clients to optimize their AI engineering processes and develop reliable products. The company aims to streamline the development and deployment of AI technologies, making it easier for businesses to leverage artificial intelligence effectively.

Freshpaint is a data platform that specializes in collecting and analyzing customer data to enhance marketing efforts. The company’s software allows for seamless integration of customer data from websites and applications into various marketing and analytics tools, enabling teams to automate the collection of behavioral data, such as clicks and page views. This automation reduces the workload on engineering teams, allowing them to concentrate on product development. Freshpaint's platform aids product, data, and growth teams in accessing the insights needed to improve user engagement and retention. Co-founded by Michael Malis and Steven Fitzsimmons, Freshpaint aims to streamline the management of customer data for more effective marketing strategies.

Higgsfield is a video AI firm focused on democratizing the creation of social media content. The company provides an AI-powered video-generation platform that simplifies the video creation process, allowing users to produce professional-quality social media videos without requiring prior editing experience or technical expertise. By removing barriers to entry, Higgsfield aims to empower individuals to bring their creative ideas to life, making video content creation accessible to a broader audience.

unSkript is a developer of an interactive and intelligent cloud operations automation platform designed to streamline the script-writing process for development and operations teams. The platform provides automated health checks for applications and application programming interfaces, facilitating customer onboarding and administrative tasks. unSkript also enables the automation of scheduled long-running jobs and approval workflows, thus enhancing the efficiency of incident response and operational runbooks. By optimizing these processes, unSkript aims to improve the overall performance and reliability of cloud operations.

Modal Labs is a technology company that specializes in machine learning software designed to facilitate code execution in the cloud. Its platform allows users to deploy machine learning models, run massively parallel compute jobs, manage task queues, and host web applications. By utilizing containers, Modal's software automates the provisioning of compute instances, hardware accelerators, and cloud storage. This enables data science teams to concentrate on developing their models and applications without the burden of managing intricate infrastructure, thereby enhancing efficiency and performance in cloud-based computing environments.

Kolena is a machine learning testing and analytics platform that focuses on ensuring the quality and performance of machine learning models and related technologies. The platform enables ML teams to rigorously test their models, identify and track failure modes, and gain insights into model behavior. By providing a comprehensive testing infrastructure, Kolena helps organizations streamline and enhance their machine learning and analytics projects, allowing engineering teams, sales, and customers to better understand model performance and identify any existing gaps.

MotherDuck is a company that specializes in data infrastructure and analytics, providing a serverless platform designed for both small and large datasets. By integrating the efficiency of DuckDB with cloud capabilities, MotherDuck delivers a user-friendly analytics solution that supports hybrid execution. Its platform utilizes an embedded database to facilitate the analysis of big data, enabling businesses to prototype with both local and remote data seamlessly. This integrated environment allows organizations to effectively analyze their data, enhancing collaboration and maximizing profitability.

DataHub Core is the #1 open source platform with a uniquely scalable and extensible metadata graph supporting manual and automated data management. DataHub Cloud is an enterprise-ready SaaS solution providing a fully-managed service of DataHub Core with additional AI-powered capabilities in discovery, observability, and governance to accelerate production-readiness of AI and data assets.

Unweave is a technology company that specializes in developing a machine learning tool aimed at addressing the challenges of complex data pipelines and versioning. The tool features a user-friendly drag-and-drop interface and integrates seamlessly with native file systems, enabling users to modify data graphs effectively. Unweave's solution facilitates reproducible development environments and infrastructure for machine learning, allowing for enhanced collaboration on large datasets. By enabling users to store datasets in a git repository and automatically upload changes to a cloud storage bucket, the company simplifies data management and reduces the time spent on data engineering tasks, ultimately providing unlimited data storage and improved workflow efficiency.

Orb is a company that specializes in providing modern billing infrastructure tailored for artificial intelligence and software enterprises. Its platform facilitates real-time billing, specifically designed to accommodate usage-based pricing models. By managing the necessary data infrastructure and billing logic, Orb enables companies to adopt more flexible monetization strategies, allowing them to adapt their pricing to meet the demands of a rapidly changing market. With its focus on simplifying the billing process, Orb supports the next generation of AI and software companies in optimizing their revenue workflows.

Onehouse is a developer of a cloud-native managed lakehouse platform that integrates the functionalities of data lakes and data warehouses. Its service, built on Apache Hudi, allows users to establish their data lakes rapidly while ensuring easy data processing and management. Onehouse's platform is designed to be self-managing, automatically ingesting, managing, and optimizing data for improved processing speeds. Users benefit from the flexibility of owning their data in open formats, avoiding vendor lock-in, and achieving cost and scalability advantages typical of data lakes. This innovative approach positions Onehouse as a leader in delivering efficient and accessible data solutions for businesses.

Hunch is a spatial canvas to collaborate with AI to be more productive and creative. You can use any AI model and chain them together to do complex work. Then share your work with your team or community as a reusable tool.

Yakoa is a company that specializes in NFT fraud detection, providing a platform designed to enhance the visibility of activities on the blockchain. Its technology focuses on identifying and tracking intellectual property infringements across multiple blockchain networks. By enabling web3 platforms to monitor and respond to these infringements, Yakoa helps protect the integrity of digital assets and supports users in safeguarding their ecosystems against unauthorized use of intellectual property.

MotherDuck is a company that specializes in data infrastructure and analytics, providing a serverless platform designed for both small and large datasets. By integrating the efficiency of DuckDB with cloud capabilities, MotherDuck delivers a user-friendly analytics solution that supports hybrid execution. Its platform utilizes an embedded database to facilitate the analysis of big data, enabling businesses to prototype with both local and remote data seamlessly. This integrated environment allows organizations to effectively analyze their data, enhancing collaboration and maximizing profitability.

Trace is marking the frontier of business intelligence by operationalizing the concept of "metric trees".

Bluesky develops data cloud software that focuses on providing intelligent workload optimization and cost governance tools for data-driven organizations. By offering next-generation data infrastructure, Bluesky enables CIOs and senior management to manage and optimize data cloud expenses effectively. Its solutions enhance productivity for data analysts and data scientists while simplifying processes for data engineers. This approach allows organizations to innovate while maintaining control over their costs, thereby addressing the complex challenges associated with data management in cloud environments.

Koop is a developer of a digital wallet application that facilitates the collection of coins and NFTs within a shared treasury. This application enables users to invest in their communities and collaborate with friends, fostering a sense of communal growth. By leveraging a treasury formed from an NFT collection or membership pass, Koop allows its members to engage as viewers, users, and builders within their group. The platform aims to enhance community interaction and investment, allowing participants to explore and contribute to their collective interests.

Streamdal, previously known as Batch, is a developer of a data performance monitoring tool designed to enhance visibility within messaging systems. This innovative tool enables users to observe their data queues and replay past events, which is crucial for diagnosing outages and managing data-related issues. By providing the capability to revert changes, Streamdal helps organizations maintain data integrity and respond effectively to potential data disasters. The company's focus on monitoring and replaying data empowers users to streamline their operations and improve overall system reliability.

Continual is a developer of an operational artificial intelligence platform designed to enhance predictions related to customer churn and inventory forecasts. The platform connects seamlessly to existing cloud data warehouses, allowing users to leverage their data effectively. By utilizing machine learning technology, Continual operationalizes predictive models, minimizes data leakage, and offers essential operational tools. This enables clients to better manage and utilize their data, ultimately driving revenue, streamlining operations, and fostering innovative products and services without requiring complex engineering solutions.

Sift is an AI-first platform to bring community-led teams from Chaos to Clarity. Understand, Support, and Manage your communities across Discord, Slack, Github and more. As companies evolve today, their early adopters and most engaged champions live in their communities. Sift gives these companies everything they need to ensure these community users are successful, to leverage these communities effectively, and operate them efficiently. From understanding customer voice, sentiment analysis and GPT-powered Q&A to seamless integration into customer success and product workflows, Sift is a rich and enterprise-ready platform that will scale with you as you grow your product and community.

ReadySet is a distributed SQL caching layer that precomputes the results of parameterized SQL queries and incrementally updates these results as the underlying data changes. It is wire-compatible with MySQL and Postgres, plugs directly into existing databases and applications without any code changes, and elastically scales read throughput to meet fluctuating demands. ReadySet offers the low latencies of a custom caching system and the high query throughputs of read replicas with the straightforward developer experience of using a single relational database.

Hashboard is a business intelligence (BI) product built for data engineers to do their best work and easily spread the data love to their entire organizations. Define metrics on your data warehouse and let your whole team search, explore and find insights that drive your business.

DataGen Technologies, founded in 2018 and based in Tel Aviv, Israel, specializes in developing simulated data technology that is scalable, bias-free, and automatically annotated. The company focuses on creating hyper-photorealistic imagery and utilizes advanced algorithms to generate high-variance datasets. This technology allows clients to efficiently simulate large-scale data tailored to their specific needs and requirements, helping to enhance data-driven decision-making and analysis across various industries.

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.

Truera, Inc. is a technology company based in Redwood City, California, founded in 2014, that specializes in model intelligence solutions aimed at enhancing machine learning investments. The company offers a platform that enables organizations to understand and interpret machine learning predictions, thereby building trust in their AI systems across various industries. Truera's software solutions focus on testing, analyzing, and monitoring machine learning models, helping enterprises improve model quality and governance while addressing challenges associated with black-box algorithms. Its platform has become integral to the machine learning workflow for data science, ML engineering, and MLOps professionals, delivering substantial value to prominent companies in sectors such as banking, insurance, technology, and publishing.

Tabula is an AI-powered no-code platform that transforms complex data tasks into simple, intuitive processes. Empowering business and data teams, it allows real-time exploration, analysis, and reporting of data without any need for developer resources.

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.

Decodable is a serverless data integration and engineering platform focused on streaming data, founded in 2021 by Eric Sammer and headquartered in San Francisco, California. The company offers a software solution that enables applications and data engineers to construct complex data pipelines efficiently. Its platform facilitates seamless connections to various existing messaging, storage, and database systems, allowing users to rapidly collect, process, and deliver data to both offline and online systems. Through its innovative approach, Decodable aims to simplify the management of streaming data, enhancing the capabilities of organizations in handling real-time data flows.

Voltron Data is a company that specializes in creating advanced tools for data access and memory computing, aimed at enhancing the data analytics ecosystem. It offers an open-source platform designed to integrate various components of the data analytics landscape by connecting data, hardware, and developers. This platform supports multi-language tools that facilitate faster data interchange and in-memory processing. By focusing on modular and composable analytics building blocks, Voltron Data enables developers, data scientists, and data engineers to streamline their workflows and improve interoperability standards in areas such as data access, preparation, cleaning, analytics, and feature engineering.

Great Expectations is a developer of an open-source data quality platform that aims to enhance the speed and integrity of data collaboration. The company focuses on establishing a shared data quality standard, facilitating easier testing of data pipelines to boost overall data quality. Its platform employs machine learning algorithms to validate, document, and profile data, addressing issues related to pipeline debt. By providing an integration library, Great Expectations enables organizations to uphold their data standards and improve communication regarding data across different teams.

Onehouse is a developer of a cloud-native managed lakehouse platform that integrates the functionalities of data lakes and data warehouses. Its service, built on Apache Hudi, allows users to establish their data lakes rapidly while ensuring easy data processing and management. Onehouse's platform is designed to be self-managing, automatically ingesting, managing, and optimizing data for improved processing speeds. Users benefit from the flexibility of owning their data in open formats, avoiding vendor lock-in, and achieving cost and scalability advantages typical of data lakes. This innovative approach positions Onehouse as a leader in delivering efficient and accessible data solutions for businesses.

Ocurate is a startup that leverages artificial intelligence to predict customer lifetime value for e-commerce businesses. The company develops software designed to help brands identify and focus on high-value customers by predicting their potential worth and affinity. Ocurate's technology builds models based on a database mapping the foundational personality traits of adults, integrating real-time predictions into existing workflows via API. This enables brands to acquire the right customers and achieve rapid growth.

Continual is a developer of an operational artificial intelligence platform designed to enhance predictions related to customer churn and inventory forecasts. The platform connects seamlessly to existing cloud data warehouses, allowing users to leverage their data effectively. By utilizing machine learning technology, Continual operationalizes predictive models, minimizes data leakage, and offers essential operational tools. This enables clients to better manage and utilize their data, ultimately driving revenue, streamlining operations, and fostering innovative products and services without requiring complex engineering solutions.

Digger is a developer of a low-code platform focused on cloud infrastructure. The company specializes in automating the generation of infrastructure for code within cloud accounts, facilitating the deployment of applications on platforms like AWS. By simplifying the process, Digger enables businesses to customize their code without requiring extensive knowledge of infrastructure-as-code practices. This approach empowers users to efficiently build and manage their cloud environments, streamlining operations and reducing the technical barriers associated with cloud deployment.

Creating and managing data policies is a slow pain. With PACE by STRM, you can make sure data is used securely. Apply data policies through code, wherever it lives. Farewell to long waits and costly meetings.

Dagster Labs is a developer of an open-source data orchestration platform called Dagster. This platform is designed to facilitate the development, production, and observation of data assets, enabling organizations to create productive and scalable data environments. By utilizing a Python library, Dagster allows users to build modern data applications that promote seamless collaboration in processing and producing trusted and reliable data. The platform is engineered to integrate easily with existing tools and infrastructure, enhancing the efficiency and effectiveness of data management for clients.

Y42 is a Berlin-based company founded in 2020 that operates a fully managed Modern DataOps Cloud platform. It is designed to assist organizations in creating production-ready data pipelines using Google BigQuery or Snowflake cloud data warehouses. Y42's platform offers a no-code business intelligence solution, enabling users to efficiently integrate, transform, orchestrate, and visualize their data from multiple sources. The company emphasizes data accessibility and governance, fostering enhanced collaboration among data teams. By streamlining the data management process, Y42 empowers organizations to make informed, data-driven decisions rapidly and effectively.

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.

Orchest Software B.V., based in Rotterdam, the Netherlands, operates as a cloud data science platform that offers an open-source, cloud-native integrated development environment tailored for data scientists. The platform provides tools that facilitate the development, iteration, and deployment of data pipelines, allowing users to transition from initial ideas to deployment without the need for extensive infrastructure or engineering support. This approach enhances workflow autonomy, enabling data scientists to work more efficiently within a unified environment.

Watchful, Inc. is a technology company based in San Francisco, California, that specializes in developing a machine teaching platform designed to streamline the creation of artificial intelligence applications. Founded in 2016, the company's platform focuses on enhancing data control for engineers, analysts, and subject matter experts, allowing them to filter, tag, and route data in real-time. By employing a programmatic labeling interface and active learning flows, Watchful enables users to automate the generation of labeled training sets and efficiently incorporate domain expertise into machine learning models. This approach accelerates AI development significantly, facilitating the iterative processes from production to deployment while maintaining cost-effectiveness and scalability. Watchful's solutions cater to various industries, including manufacturing, retail, finance, and life sciences, addressing the common data bottlenecks associated with AI initiatives.

Hightouch is a customer data platform that specializes in data synchronization between various marketing and operational tools. The company enables businesses to connect their existing data warehouses with applications such as customer relationship management systems, email marketing platforms, and advertising networks. By providing a user-friendly interface, Hightouch simplifies data integration and management, allowing organizations to access and utilize their data effectively without duplication. This approach helps maintain data integrity and security, while empowering clients to leverage their data for personalized marketing campaigns. Hightouch's platform features audience segmentation, data transformation, and automated workflows, which assist businesses in optimizing their marketing strategies and operational processes.

Rasgo is a developer of a feature store workflow platform that focuses on streamlining data processes for businesses. By eliminating inconsistencies in metrics, Rasgo enables data consumers to discover, explore, create, and monitor standardized business metrics essential for their operations. The platform facilitates data acquisition, integration, and feature engineering, allowing data scientists to operate more efficiently and deliver value effectively. The company serves a variety of industries, including Finance, Manufacturing, Biotech, Retail, and Alternative Energy, and has achieved over $25 million in Series A funding. With a fully remote work environment and a people-first culture, Rasgo has assembled a talented team with experience from leading organizations in the data field.

DataHub Core is the #1 open source platform with a uniquely scalable and extensible metadata graph supporting manual and automated data management. DataHub Cloud is an enterprise-ready SaaS solution providing a fully-managed service of DataHub Core with additional AI-powered capabilities in discovery, observability, and governance to accelerate production-readiness of AI and data assets.

Privacy Dynamics is a company that specializes in data de-identification solutions aimed at minimizing privacy risks associated with data access and usage. Its innovative tool enables engineering teams to securely access the necessary data for development, testing, model training, and analytics without compromising privacy. By ensuring referential integrity and preserving original data formats and indices, Privacy Dynamics allows clients to work with realistic datasets that reflect the complexities of real-world information. The tool integrates seamlessly into existing projects, maintaining high data utility while significantly reducing privacy distortion, all without the need for extensive classification, policy management, or data mapping.

Kolena is a machine learning testing and analytics platform that focuses on ensuring the quality and performance of machine learning models and related technologies. The platform enables ML teams to rigorously test their models, identify and track failure modes, and gain insights into model behavior. By providing a comprehensive testing infrastructure, Kolena helps organizations streamline and enhance their machine learning and analytics projects, allowing engineering teams, sales, and customers to better understand model performance and identify any existing gaps.

Great Expectations is a developer of an open-source data quality platform that aims to enhance the speed and integrity of data collaboration. The company focuses on establishing a shared data quality standard, facilitating easier testing of data pipelines to boost overall data quality. Its platform employs machine learning algorithms to validate, document, and profile data, addressing issues related to pipeline debt. By providing an integration library, Great Expectations enables organizations to uphold their data standards and improve communication regarding data across different teams.

Begin is a technology company founded in 2015 and based in San Francisco, California. It specializes in developing and marketing an interactive bot application program interface that enhances user connectivity through messaging. The company's platform enables users to create groups and teams for effective collaboration on assigned tasks. Utilizing command messaging technology, Begin's tasking tool automates tasks over the Internet, thereby streamlining workflows and improving organizational teamwork. The company's focus on building full-featured, scalable applications allows it to provide dynamic solutions that meet the needs of modern businesses.

Era Software specializes in observability data management, providing modern IT and security organizations with tools to efficiently route, ingest, store, and analyze vast amounts of data for actionable insights. The company’s platform, EraSearch, simplifies the management of log data in real-time while significantly reducing costs compared to traditional solutions. As enterprises face challenges in handling exponentially growing data volumes, Era Software addresses critical visibility gaps that can arise from data collection limitations. Additionally, the company has developed a time-series database tailored for machine learning and anomaly detection, which resolves issues of scale, performance, and cost associated with modern application architectures, including cloud, containers, and microservices. By offering unified access to data, Era Software facilitates faster collaboration and innovation among IT teams.

DataDistillr is an enterprise platform designed to enhance data discovery and value extraction for data scientists and security professionals. The company offers a robust toolset that can detect security threats early, preventing potential risks to organizational assets. Its platform facilitates the connection to diverse data sets from various locations, enabling users to upload, manage, filter, and share data across different formats. Additionally, DataDistillr provides intuitive charts, dashboards, and graphs that deliver visual insights into cyber data, allowing users to simulate and visualize information effectively. With its comprehensive capabilities, DataDistillr aims to standardize data management and improve overall organizational data strategies.

InfiniLake develops Software-as-a-Service products in the data infrastructure space.

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.

unSkript is a developer of an interactive and intelligent cloud operations automation platform designed to streamline the script-writing process for development and operations teams. The platform provides automated health checks for applications and application programming interfaces, facilitating customer onboarding and administrative tasks. unSkript also enables the automation of scheduled long-running jobs and approval workflows, thus enhancing the efficiency of incident response and operational runbooks. By optimizing these processes, unSkript aims to improve the overall performance and reliability of cloud operations.

bit.io is a cloud database platform founded in 2019 and headquartered in San Francisco, California. It provides a zero-configuration, scalable solution that enables users to store, query, and share data securely and reliably. The platform features social and community elements akin to those found on GitHub, allowing users to create an empty database with a single click. This eliminates the need for complex administration tasks, identity and access management, and intricate pricing structures with hidden fees. Users can easily upload their databases to the platform and share them with others, specifying access levels to enhance collaboration and data sharing.

Decodable is a serverless data integration and engineering platform focused on streaming data, founded in 2021 by Eric Sammer and headquartered in San Francisco, California. The company offers a software solution that enables applications and data engineers to construct complex data pipelines efficiently. Its platform facilitates seamless connections to various existing messaging, storage, and database systems, allowing users to rapidly collect, process, and deliver data to both offline and online systems. Through its innovative approach, Decodable aims to simplify the management of streaming data, enhancing the capabilities of organizations in handling real-time data flows.

Soda is the data monitoring platform that keeps your data fit for purpose, verifiable and trustworthy. We uncover data issues, alert the right teams, and trigger resolution workflows to identify causes that impede data quality. Our open source testing projects and monitoring platform brings together data engineers, operations and the business to create trusted data. Data-driven organisations choose Soda to realise the value of their data and secure its quality. Data Monitoring | Data Testing | Observability | Data Quality | Data Management

Wasmer, Inc. is a San Francisco-based company founded in 2018 that specializes in WebAssembly technology. It operates a WebAssembly package manager that allows developers to execute WebAssembly files universally, facilitating the use of familiar tools and languages for software development. Wasmer's innovative runtime programming software enables users to compile and run lightweight packages, thereby enhancing their coding capabilities. The company aims to support developers globally, helping them maximize their potential through its solutions. With a distributed team united by a strong cultural commitment to diligence and collaboration, Wasmer emphasizes the importance of community and shared mission in its operations.

Anomalo is a developer of an artificial intelligence data validation tool that enables users to continuously inspect and validate data entering their warehouses. The company’s solution automatically detects and explains issues in enterprise data, facilitating seamless integration with data warehouses. By employing automated machine learning technology, Anomalo’s tool allows organizations to validate and document their data with minimal configuration, eliminating the need for users to write any code. This innovation helps companies maintain data integrity and improve the reliability of their data-driven decisions.

Truera, Inc. is a technology company based in Redwood City, California, founded in 2014, that specializes in model intelligence solutions aimed at enhancing machine learning investments. The company offers a platform that enables organizations to understand and interpret machine learning predictions, thereby building trust in their AI systems across various industries. Truera's software solutions focus on testing, analyzing, and monitoring machine learning models, helping enterprises improve model quality and governance while addressing challenges associated with black-box algorithms. Its platform has become integral to the machine learning workflow for data science, ML engineering, and MLOps professionals, delivering substantial value to prominent companies in sectors such as banking, insurance, technology, and publishing.

Theseus AI is a developer of machine learning algorithms focused on enhancing health outcomes, particularly in the realm of spine surgery. The company creates advanced algorithms that automatically segment and analyze areas of interest in MRI scans. By comparing these analyses to a reference range, the algorithms offer objective data to assist radiologists, primary care physicians, and surgeons in diagnosing and treating patients. Through its innovative approach, Theseus AI aims to address the issue of unnecessary spine surgeries, contributing to more effective and accurate medical decision-making.

Soda is the data monitoring platform that keeps your data fit for purpose, verifiable and trustworthy. We uncover data issues, alert the right teams, and trigger resolution workflows to identify causes that impede data quality. Our open source testing projects and monitoring platform brings together data engineers, operations and the business to create trusted data. Data-driven organisations choose Soda to realise the value of their data and secure its quality. Data Monitoring | Data Testing | Observability | Data Quality | Data Management

Aquarium Learning is a machine learning data management platform based in San Francisco, California. Founded in 202, the company focuses on enhancing machine learning models through improved datasets. Its software platform democratizes access to machine learning by providing application programming interfaces and embedding search technology. These tools enable users to analyze data, identify anomalies, and detect failure patterns within datasets. By offering solutions that help machine learning teams enhance the quality of their data, Aquarium Learning plays a crucial role in optimizing model performance and facilitating more effective machine learning practices.

Freshpaint is a data platform that specializes in collecting and analyzing customer data to enhance marketing efforts. The company’s software allows for seamless integration of customer data from websites and applications into various marketing and analytics tools, enabling teams to automate the collection of behavioral data, such as clicks and page views. This automation reduces the workload on engineering teams, allowing them to concentrate on product development. Freshpaint's platform aids product, data, and growth teams in accessing the insights needed to improve user engagement and retention. Co-founded by Michael Malis and Steven Fitzsimmons, Freshpaint aims to streamline the management of customer data for more effective marketing strategies.

Privacy Dynamics is a company that specializes in data de-identification solutions aimed at minimizing privacy risks associated with data access and usage. Its innovative tool enables engineering teams to securely access the necessary data for development, testing, model training, and analytics without compromising privacy. By ensuring referential integrity and preserving original data formats and indices, Privacy Dynamics allows clients to work with realistic datasets that reflect the complexities of real-world information. The tool integrates seamlessly into existing projects, maintaining high data utility while significantly reducing privacy distortion, all without the need for extensive classification, policy management, or data mapping.

Grid.ai, Inc. is a technology company founded in 2019 and based in New York, New York, that specializes in developing a platform for training artificial intelligence models using cloud-based graphics processing units (GPUs) and tensor processing units (TPUs). The platform provides several tools, including Grid Train, which facilitates research iteration and simplifies AI research, as well as Grid View, a web application for monitoring and managing infrastructure. Additionally, it offers Tensorboard for analyzing experiments. The company's solutions are designed to enhance the capabilities of machine learning engineers, data scientists, and AI researchers, allowing them to build advanced AI models and applications with minimal changes to existing code. Grid.ai emerged from the creators of the widely used PyTorch Lightning framework, further solidifying its expertise in high-performance AI research.

Datacoral Inc. is a data infrastructure as a service provider founded in 2016 and headquartered in San Francisco, California. The company has developed a platform that automates the process of data integration, allowing businesses to seamlessly collect data from various applications and databases. Datacoral's solution organizes this data for use in any query engine and facilitates actionable insights critical to business operations. The platform is designed to enhance efficiency for data scientists, enabling them to focus on generating insights rather than managing data sources. Additionally, Datacoral offers services such as data monitoring, data collection and management, and optimization for AWS environments, ensuring secure data handling within a virtual private cloud.

StackShare, Inc. is a cloud-based discovery platform established in 2013 and based in San Jose, California. The company facilitates the exploration and comparison of software development tools and cloud infrastructure services, addressing the challenges developers face in selecting appropriate technologies. StackShare allows users, including developers, engineers, CTOs, and VPEs, to share their experiences with various tools, fostering a community where technology selections are informed by recommendations, reviews, and discussions. The platform covers a broad range of solutions, including application hosting, mobile services, analytics, DevOps, and business tools, thus supporting both startups and large enterprises in their technology choices. Formerly known as Leanstack, Inc., the company rebranded to StackShare, Inc. in March 2015.

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.

DataHub Core is the #1 open source platform with a uniquely scalable and extensible metadata graph supporting manual and automated data management. DataHub Cloud is an enterprise-ready SaaS solution providing a fully-managed service of DataHub Core with additional AI-powered capabilities in discovery, observability, and governance to accelerate production-readiness of AI and data assets.