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From access to insight in minutes, not months

Getting data used to mean tickets, pipelines, and weeks of back-and-forth. With Bobsled, your customers ask, connect, and start querying — natively, in the platform they already use.

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For the data consumer

Data that arrives ready to use

Your customers don't get a file to wrangle — they get a live, queryable product that's ready the moment you share it.

  • One-click access, no engineering
  • Queryable in their own warehouse
  • Ready to join with existing data
  • Always current, never a stale extract
  • Agent-ready context layers
  • Works with their preferred agent
Accepting a data share in one click and getting ready-to-query tables, with no credentials to create

Credential-free access

Access in a single click

Bobsled shares through each platform's native protocols, so the moment you grant access the data shows up in your customer's environment — no pipelines to build and no engineering to wait on.

  • Native sharing protocols in every major platform
  • Data appears instantly, with no ingestion step
  • Nothing for the consumer to build or maintain
Database explorer with a live shared data product next to a SQL editor querying it

Instantly queryable

Queryable in their own data estate

Shared products land as live tables in your customer's own warehouse or lakehouse, so they can query them and join them with the rest of their data from day one.

  • Lands as native tables in their platform
  • Analyze alongside their existing data
  • Always current — never a stale extract
Shared data with context layers ready for AI agents

Agent-ready

Agent-ready out of the box

Every product ships with context layers — schema, definitions and semantics — so your customer's AI agents can reason over the data immediately, with whichever agent they already use.

  • Context layers travel with the data
  • Works with their preferred agent
  • No extra modeling to make it AI-ready

Turn every share into a live data product

Trusted by the largest companies in the world to power their most sensitive, regulated and mission-critical workloads.

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