Data and Analytics Products

Create production-grade data automations and applications without writing SQL or code

We generate expert quality coding data at scale for fine-tuning LLMs

Zeit AI transforms your data bases and systems so that they can be queried using natural language. For example, the financial consultancy RISE, which depends heavily on Excel, uses Zeit AI to access and analyze expenses across their organization.

Dataleap is a GenAI-powered market research platform for management consulting firms and corporate strategy departments. Think Perplexity for Consultants. We combine the natural language interface from chatGPT with trusted, verifiable market data from best-in-class data providers. We do the heavy lifting of aggregating all data sources into a single interface. We optimize the whole market research workflow from finding the right information, managing the internal knowledge base as well as sharing information with team members. We already work with leading consultancies like BCG and industry giants like Siemens Energy and Uniper.

Bilanc is a SaaS solution focused on SaaS, B2B, Analytics. Founded by Y Combinator alumni, this platform provides innovative tools and services to help companies streamline their operations and achieve their goals. Built with modern technology and user experience in mind, Bilanc offers scalable solutions for teams of all sizes.

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Buster

Data and Analytics

Buster is an AI agent platform built for analytics engineering. It provides data teams with AI agents that keep their dbt projects reliable, documented, and consistent, automatically.

Snowpilot combines a spreadsheet UI with a federated data engine. We get live data from tools like Salesforce, Gong, and Mixpanel, enabling PMs, marketers, and salespeople to run high-impact workflows with data at any scale. Ben and Dom met at a Sequoia & a16z-backed data startup, Census. Together, we built the first real-time, warehouse-native customer data platform. Prior to that, Dom led 20+ ML engineers at Adobe to build their internal ad optimization platform, which allocates $1B in annual spend. Ben built the microservices stack powering the new Microsoft Edge, scaling from 0 to hundreds of millions of DAUs. We started coding Snowpilot in mid-August '24, and we already have a live app that can run sub-second queries on millions of rows, entirely in the user's browser. The data warehouse market is $10B/yr, growing 23% YOY. We will disrupt incumbents and significantly expand this market by enabling non-engineers to use big data on a daily basis.

Sepal is a data research company on a mission to advance human knowledge and capabilities through safe AI. We partner with the world’s leading AI labs and enterprises to help their models get better at the tasks people actually want them to do. We’ve built a Cloud-Native Agent Dataset Factory which turns the process of generating evaluation and training data from manual, inconsistent, and labor-intensive into something automated, standardized, and scalable. Sepal AI was founded in 2024 by engineers and operators from Vercel and Turing. We went through Y Combinator, raised several million dollars from leading investors, and already count multiple Fortune 500s and top AI research labs as paying customers.

CamelAI is an AI-powered data analyst for business intelligence. Connect any data source, CSVs, CRMs, SQL databases, data warehouses, and ask Camel complex questions or request reports and charts, all without needing code or SQL.

1. You explain your problem. 2. Kater identifies the most important data questions to ask. 3. Kater writes the code. 4. You get insights in seconds rather than weeks. Kater.ai flips the script on enterprise analytics by making every user an expert analyst. It uses a continuous classification engine to turn a single business question into a contextualized package of questions that is specific to your needs. Kater puts the power of data into the hands of business experts while ensuring they use trusted data that is specific to their persona. No more waiting for data analysts. No more wasted time on analysis misfires and rework. Yvonne was a data engineer and analyst who built the entire data stack at CREXi. Robin led engineering in Microsoft. Data is the new oil. Companies are data-rich, insight-poor. We're helping companies become insight-rich. This is the future of data.

Upsolve AI is a customer-facing analytics as a service platform. We are building a full data stack that enables businesses to build and offer analytics to their customers at lightning speed and gives their customers the superpower to answer any data questions via AI. The company is founded by Ka Ling Wu and Serguei Balanovich, who built a similar product at Palantir before (featured in Palantir's S-1), growing it to 50+ enterprise customers and 8-figures of annual revenue in 2 years.

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Coblocks

Data and Analytics

Coblocks is a thoughtfully-designed data platform that helps teams write queries and automate workflows faster. We understand the columns, tables, and relationships in your data and use them to help anyone on your team build pipelines with AI, SQL and Python. Think of us like Zapier plus Cursor for data engineering. Here’s how we’re different: • All-in-one: You can get started in 2 minutes, no setup or configuration required. We have one-click integrations, warehousing, transformation, and schedules all built in. • Seamless integrations: Plug in your Postgres database, Stripe transactions, Hubspot leads, or any other data source, without writing code to keep things in sync. • Thoughtful AI: We love Cursor and we love data, we combined the two to help you write accurate queries. We use existing metadata to help you create new datasets, connect sources, fix errors, or edit in place. • Collaborative: Easily share data and discover what others in your org have built as a starting place for your analysis. Wrap common blocks of logic with templates so your team never has to start from zero. • Resilient and Scalable: Our compute engine is lightning-fast for queries and builds. Git and branching are built-in for both code and data, so you can time-travel backwards when things break. You can start with GBs and grow to TBs.