DataSF is the City & County of San Francisco's data platform initiative, building the city's central Snowflake platform to power analytics, open data, and ML efforts.

Datable is a seed stealth startup building a streaming data pipeline to help customers manage their observability data. The team is experienced in the observability space and focuses on best practices from OpenTelemetry.

Databricks started out building a platform based on Apache Spark. Over the last few years, they've built an all-encompassing platform for enterprises to make use of all structured and unstructured data, including tools for data querying and visualization. They have integrated machine learning and generative AI technologies into the product, acquiring MosaicML, a leader in LLM infrastructure.

Datadog is a monitoring, tracing, logs system, and more, for your infrastructure and services. We build our own tsdb, event store, distributed tracing tools, cutting edge visualizations, and more. We love shipping great experiences for customers just like us and are growing fast!

We're a software engineering consultancy specialized in generative AI. Small team of senior ML engineers offering remote expertise to startups across US/Europe, solving unique challenges of running generative AI in production.

A significant % of useful data is locked away in tough-to-parse formats like PDFs. We build tools to extract it, like Surya and Marker. We also run an inference API and product. We do meaningful research, ship product, and contribute to open source.

We build high-throughput crawling and structured data extraction infrastructure designed for AI agents and LLM pipelines. Our platform combines a low-latency Rust fetch engine with an isolated stealth browser fleet, zero-code schema validation, and native Model Context Protocol support to deliver reliable, structured data from bot-protected sites.

Datawrapper is a data visualization tool for journalists and other publishers. Used by NYT, Washington Post, AP, and many others. We reach over 200 million unique monthly visualization viewers with a team of just over 30 people, fully bootstrapped.

At Datenna, we combine China expertise, OSINT, data and AI technologies, to create a software platform that provides the insights governments need to explore the hidden connections between China’s complete corporate, academic and technological landscape.

At DatologyAI, we build tools to improve large-scale deep-learning models by selecting the right training data. We are automating data curation at petabyte scale, helping customers to train models faster, to better performance, and enabling smaller models to achieve performance competitive with much larger models. Models are what they eat, and the data models ingest determines everything about their capabilities. Since founding less than a year ago, we have raised $57.6M, including a $46M Series A in May 2024. Our backers include AI luminaries Geoff Hinton, Yann LeCun, Jeff Dean, and Amazon and Microsoft.