Zero Prime Ventures

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.

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.

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.

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.

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.

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.

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.

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.

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.

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

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.

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

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.

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.