Velvet

What is Velvet?

Velvet is a unified data platform built for product and engineering teams at fast-growing startups. It lets you run complex SQL queries, use AI to parse large data sets, and share findings across your team. Queries can be turned into interactive visuals such as tables, graphs, or team-wide alerts, and real-time data is accessible through query API endpoints.

Velvet also stores unlimited data from databases, third-party tools, and event streams, so you can build real-time features, capture data as it happens, and track how data changes over time.

Who created Velvet?

Velvet was developed by its founding team with the goal of giving product and engineering teams at high-growth startups the tools to run complex SQL queries, make sense of large data sets with AI, collaborate smoothly, and share visualizations — effectively letting team members act like data engineers.

What is Velvet used for?

• Product development: Write and run complex SQL queries, capture data in real time, and build data-driven product features.
• AI-assisted analysis: Parse large data volumes efficiently with AI.
• AI feature evaluation: Analyze the cost, usage, and performance of your AI models, features, and versions.
• Data visualization: Convert queries into tables, graphs, or alerts.
• Cross-source queries: Analyze data from third-party tools and user events, and adjust workflows as needed.
• Real-time features: Ship dynamic, data-powered functionality faster.

Who is Velvet for?

Velvet is aimed at software engineers and data engineers on product and engineering teams, particularly at startups that need to move quickly with their data workflows.