A warehouse that comes with the workspace.
Serverless analytical storage, isolated per workspace and priced on what you store and query. The pipeline writes it, the ontology replicates into it, and apps and agents read it.
Created with the workspace
Every workspace gets its own BigQuery warehouse, created with the workspace in the EU or the US, isolated from every other.
Bronze, silver, gold
Raw, cleaned and business-ready tables keep source data replayable and reports stable.
The ontology, replicated
By default, every record in the ontology replicates to the warehouse, so analysts join decisions made in the app with the rest of your data.
Query from anywhere
Read-only SQL from the console, the CLI or an app, with named parameters. Measures declared in the ontology count over warehouse tables.
Usage-priced
Billed on storage and the data your queries process. When nothing runs, nothing is billed.
In code
$ segmentstream warehouse query --sql \ "SELECT client, SUM(revenue) AS revenue FROM gold.revenue_by_client WHERE month >= '2026-09-01' GROUP BY client ORDER BY revenue DESC"Use it, build on it, or have it built
Use it
Created with every workspace, in the region you choose.
Build it with your agent
Your agent creates tables through pipelines and queries them to check its own work.
Have our engineers build it
Our engineers move the tables and reports you need from the warehouse you run today.
Replaces Snowflake, Databricks SQL and Redshift.
Works with
Solutions built with it
Read more
- 8 October 2026Agent sprawl: how to run a company on one AI agent instead of 3,000Companies are building AI agents by the thousand, each with its own instructions, its own keys and its own copy of the rules. Vercel went the other way and moved hundreds of internal agents behind one. Here is how a company runs on a single agent, and what has to sit behind it.
- 8 October 2026MCP gateway vs raw MCP servers: how to run a company through any agentEvery tool your company uses now has an MCP server, and the usual way to give an agent access is to plug them all in. It demos well and breaks on permissions, rules, context and the next agent you try. An MCP gateway over your company's ontology gives every agent one door, with your own actions, roles and history behind it.
- 7 October 2026Read this before you cancel HubSpot or SalesforceCompanies are cancelling CRM contracts and having AI agents write their own. Writing the CRM is now the easy part. What decides whether it survives is the layer underneath it: objects, permissions, actions, history and safe access for agents. That layer is called an ontology.
- 3 October 2026AI agents can build your BI. Here's why they get the numbers wrong.Benchmarks keep finding that agents writing SQL against raw tables give confident wrong answers, while the same agents answering through a semantic layer get nearly everything right. What that means for how you build analytics now.
Start a pilot.
Want warehouse set up for you? Our forward-deployed engineers build it with you in your workspace, as code you own.
- One solution, on your data, in your own workspace
- First version live in two weeks
- Parity proven before anything is switched off
- Fixed scope and price, credited to your contract if you continue
Not ready for a pilot? Send the form anyway with your question. An engineer will reply, not a sales rep.
How the pilot worksYour company’s software, built by agents, owned by you.
$ segmentstream workspace create acme --region eu --subdomain acme
▸ Created workspace acme · database, warehouse and a private git repository
$ segmentstream workspace WORKSPACE-ID clone acme && cd acme
▸ your agent writes the five folders and runs the checks
$ git add -A && git commit -m "First version"
$ segmentstream deploy
▸ app, ontology API and MCP tools live for your invited members
Our engineers build the first version on your data in two weeks, at a fixed price.
Or join the waitlist for self-serve:
Self-serve opens to the waitlist first.