Data Analytics

The collaborative data platform.. Briefer helps data scientists and analysts build interactive visualizations and data apps using a Notion-like interface. Connect to your data sources, write SQL or Python, collaborate through comments and multiplayer editing, and run code in whichever compute environments you need.

AI-native operating system for analytics teams. Turntable allows less technical analysts to build their own data pipelines. Companies use our AI-native workspace to scale their analytics without hiring more engineers. If you use DBT or Airflow- or you're building out your data stack for the first time- please reach out!

Conversational data analytics for every team. Brewit helps companies to create their role-specific BI agents, trained on their database (through feeding sample queries, metric definitions, column descriptions, etc. to create a semantic layer) that can answer data questions/provide data insights (write SQL, generate plots) through a natural language experience.

One place for all your queries, directly on your SQL editor. Companies use Sherloq as their single source of truth for their SQL on top of their existing data stack. Today, data-driven organizations face the challenge of giving 2 of their data analysts the same task and getting 2 totally different results from their analysis. Although SQL is the #1 coding language for data analysis, it is still managed independently on each user's internal documentation tools (notepads, Slack channels, or docx files). Creating one source of truth is an ongoing difficult process, that’s done manually and takes time to implement. Using our plugin on top of our user's existing query editors, companies can now manage their SQL code in one place. We ourselves are data users and we've built Sherloq to fit the exact needs of data teams, becoming a true alternative to the way SQL is being managed today.

Confidently ship analytics code faster with fewer errors. We’re retool for data pipelines. We allow less-technical people to edit data pipelines, with easy to use tools.

serverless platform for real-time data. Denormalized is a serverless real-time data platform that allows users to query data quickly while eliminating the need to manage complex infrastructure. It enhances developer productivity by automating schema inference from sample data and simplifying data stream creation allowing engineers to go from idea to production fast. Denormalized supports SQL for data transformations without needing complex stream processing systems like Flink.

Data analytics software for biomanufacturing.. We build software to manage, analyze, and optimize bioprocessing data. Our initial customers are bio-industrial companies, who produce various products in bioreactors.

Building the AI data engine for any modality and scale. Every breakthrough AI application, from foundation models to autonomous vehicles, relies on processing massive volumes of images, video, and complex data. But today’s data platforms (like Databricks and Snowflake) are built on top of tools made for spreadsheet-like analytics, not the petabytes of multimodal data that power AI. As a result, teams waste months on brittle infrastructure instead of conducting research and building their core product. Eventual was founded in 2022 to solve this. Our mission is to make querying any kind of data, images, video, audio, text, as intuitive as working with tables, and powerful enough to scale to production workloads. Our open-source engine, Daft, is purpose-built for real-world AI systems: coordinating with external APIs, managing GPU clusters, and handling failures that traditional engines can

A New Kind of Notebook for Data Storytelling. Mix Python, SQL, charts, and dynamic text in a fast, shareable, collaborative medium. Build and share data-rich docs and apps your team will love