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 DB is an open-source, AI-native embedding vector database that aims to simplify the process of creating LLM applications powered by natural language processing by making knowledge, facts, and skills pluggable for machine learning models at the scale of LLMs – as well as avoiding hallucinations.
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 develops a data-centric artificial intelligence (DCAI) to help companies improve the quality of their datasets. It handles the entire data quality and data-centric AI pipeline in a single framework for analytics and machine learning tasks.
Welcome to Iterative, where we pioneer open-source and SaaS developer tools dedicated to advancing machine learning and data management. In 2018, our journey began with the creation of DVC, a groundbreaking open-source solution that elevated Git's version control capabilities to the world of machine learning by seamlessly handling large datasets and models in the same versioned reproducible manner as Git. Fast forward to today, we proudly introduce DVCx, our latest innovation designed to conquer the unique challenges posed by wrangling the unstructured data of Generative AI. DVCx is your key to unlocking the full potential of Generative AI, providing unprecedented control and efficiency.
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 helps data scientists and engineers build data applications across ETL, analytics and ML/AI. Eventual is the developer behind Daft, an open-sourced query engine that runs on 800k CPU cores daily. Which is more compute than Frontier, the world's largest supercomputer! Today's data tooling (Spark, Presto, Snowflake) was built for a world of tabular data analytics, but does not generalize to the needs of modern ML/AI such as multimodal data, heterogenous compute and user-defined Python algorithms. Eventual and Daft bridge that gap, making ML/AI workloads easy to run alongside traditional tabular workloads. Eventual was founded in 2022 and is based in San Francisco, California.