Alkymi is a software company that empowers financial services firms by unlocking the full value of private markets data through AI-powered automation. Founded in 2017 by a team from Bloomberg and Two Sigma, Alkymi transforms unstructured data from various sources into actionable insights, enabling businesses to accelerate decision-making and improve operational efficiency. Their platform supports multiple investment document workflows, allowing firms to manage capital notices, financial statements, and more in a single solution. With backing from notable investors like Intel Capital and Canaan, Alkymi is positioned as a leader in the financial data operations space, helping clients respond quickly to market changes and enhance their data quality.

Artillery is a scalable and flexible load testing platform designed for production-grade testing. It allows users to load test various applications, including web apps and APIs, using serverless load generators in their own AWS or Azure accounts. Artillery differentiates itself with its cloud-native, cost-efficient model, enabling teams to run tests without managing infrastructure. The platform supports continuous testing and integrates with numerous CI/CD tools, making it suitable for modern development workflows. With a focus on ease of use and scalability, Artillery aims to empower every development team to conduct effective load testing, ensuring high performance and reliability of their systems.

Chroma is an open-source AI application database that provides a comprehensive suite of features including embeddings, vector search, document storage, full-text search, metadata filtering, and multi-modal capabilities. It aims to simplify the development of AI applications by offering a robust retrieval system that integrates various functionalities in one platform. With its focus on ease of use and powerful performance, Chroma positions itself as a key player in the AI database market, catering to developers and organizations looking to leverage AI technologies effectively.

Clarify is an AI-native CRM designed to unify customer data, automate tedious tasks, and provide actionable insights, enabling teams to focus on building relationships and closing deals. It offers customizable views, dynamic lists, and AI-powered features that enhance productivity and streamline the revenue process. With a developer-friendly API and seamless integrations, Clarify adapts to the unique needs of modern businesses, making it a flexible and efficient tool for founders, operators, and revenue teams alike.

Cleanlab pioneers a future where AI works reliably with messy, real-world data. Their flagship product, Cleanlab Studio, is an enterprise-grade data curation platform that enhances trust and reliability in data-driven solutions. It integrates seamlessly with various data types and automates error detection and correction, making it easier for organizations to build reliable AI systems. Founded by MIT PhD graduates, Cleanlab has been recognized as an industry leader in data-centric AI, with a mission to empower organizations to automatically find and fix issues in datasets, thus streamlining the data quality process for analytics and machine learning tasks.

Coiled is a platform designed to help Python developers scale their data science and machine learning workloads effortlessly. It provides a seamless experience for running Python code on cloud infrastructure, allowing users to leverage powerful computing resources without needing extensive cloud expertise. Coiled differentiates itself by offering easy setup, automatic syncing of Python packages, and rich telemetry data, making it suitable for both individuals and teams. The platform is trusted by various data teams and is compliant with SOC 2 Type II and ISO-27001 standards, ensuring a secure environment for data processing.

A team dedicated to iterate and improve ComfyUI, support the ComfyUI ecosystem with tools like node manager, node registry, cli, automated testing, and public documentation.

Comm Technologies is an encrypted messaging app that enhances Signal’s end-to-end encryption model by incorporating personal servers, allowing for richer functionality. The app supports community features such as channels and roles, and offers unique capabilities like data backup and key resets, which are not available in traditional E2E apps. Comm's innovation lies in its keyserver concept, enabling users to own their data while enjoying advanced features typically found in unencrypted applications. Founded by Ashoat, Comm aims to revolutionize data ownership and privacy in the digital landscape.

Datafold is a proactive data quality platform that automates testing and monitoring for data engineering workflows. It helps data teams ensure data accuracy and quality through features like automated CI testing, ML-powered data monitoring, and cross-database data reconciliation. By integrating seamlessly into existing workflows, Datafold empowers teams to identify and resolve data quality issues before they impact production, thereby enhancing productivity and reducing errors. With a focus on proactive data management, Datafold positions itself as a leader in the data reliability space, catering to a diverse range of clients including major tech companies.

Dragonfly is a high-performance, in-memory data store designed as a drop-in replacement for Redis, offering 25x the throughput and 12x lower snapshotting latency compared to traditional in-memory data stores. It is optimized for modern cloud hardware, enabling developers to scale applications efficiently while significantly reducing infrastructure costs by up to 80%. With both a fully managed cloud edition and a free community edition, Dragonfly caters to a wide range of industries, including entertainment, SaaS, and fintech, making it a compelling choice for businesses seeking reliable and scalable data solutions.

Encore is an open-source backend framework designed for type-safe distributed systems, enabling developers to build robust applications with enhanced performance and type safety. It leverages Rust for multi-threaded request handling and automatic request validation, making it significantly faster than traditional frameworks like Express.js. With features like automated local infrastructure, a built-in development dashboard, and seamless integration with existing stacks, Encore positions itself as a powerful tool for engineering teams in startups and scaleups looking to simplify their backend development processes. The community-driven project boasts over 8,000 stars on GitHub and is supported by more than 70 contributors, indicating strong traction and a growing user base.

Eventual is a data platform that simplifies modern data workloads across data engineering, machine learning, and analytics. It offers an open-source framework called Daft, which powers ETL, analytics, and ML/AI at scale. Eventual differentiates itself by providing a Python-native platform that integrates seamlessly with existing tools and supports scalable data processing across diverse data types. The company has gained traction with notable clients like Amazon, which uses Daft to manage exabytes of data, improving efficiency significantly. Founded in 2022 and based in San Francisco, Eventual is positioned to bridge the gap between traditional data tooling and the needs of modern ML/AI workloads.