Pipelines that load, model and check your data, on a schedule in code.
Ingestion, models, checks and schedules in Python, in the pipeline/ folder of your repository. The platform builds the graph, runs it on managed compute and shows the lineage of every table.
Every pipeline run, on a schedule or started by hand, with its status and duration.
Ingestion
Ingestion assets load any API by day through a connection, with retries and backfills. Re-running a day replaces it exactly.
Models
Models are Python dataframe expressions compiled to warehouse SQL, with declared schemas, tiers and partitions.
Checks
Checks run with the pipeline and record their result next to the table, where lineage and agents can see it.
Schedules
Schedules are declared in code beside the jobs, with a timezone and the partitions each run covers. Pause or resume them from the CLI.
Lineage and run history
See what feeds what, which run produced a table and what failed upstream, in the console and the CLI.
Managed runs
Runs on managed compute. There are no clusters, workers or orchestrator to operate.
In code
import segmentstream as srevenue = s.job("revenue_pipeline", assets=[revenue_summary], include_upstream=True)defs = s.definitions( assets=[raw_orders, normalized_orders, revenue_summary], checks=[positive_order_amounts], jobs=[revenue], schedules=[ s.schedule( "revenue_morning", job=revenue, cron="0 6 * * *", timezone="Europe/London", partitions=s.LatestPartitions(3), ), ],)Use it, build on it, or have it built
Use it
Run, backfill and inspect jobs from the console or the CLI.
Build it with your agent
Your agent writes ingestion assets, models and checks, one per file, and validates the graph before it deploys.
Have our engineers build it
Our engineers build the first pipelines with you, from the tools you already run.
Replaces Fivetran, dbt Cloud, Airflow and Hand-written alert queries.
Works with
Solutions built with it
Read more
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- 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.
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Start a pilot.
Want pipelines 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 worksBuild your company’s own software. Let agents run it.
$ 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 coding agent builds what your team asked for and runs the checks
$ git add -A && git commit -m "First version"
$ segmentstream deploy
▸ app, company agent, 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 build it yourself with your coding agent:
curl -fsSL https://segmentstream.com/install.sh | sh