A warehouse for the data you actually have.
Rig Ingest warehouses the CSVs, spreadsheets, and API feeds early-stage companies actually run on — on a sensible schedule, at a fraction of the cost, and plugged directly into your context layer.
Your data is scattered. The warehouse is nowhere.
Early-stage companies often have data scattered across API feeds, spreadsheets, and CSVs — none of it in a centralised warehouse. Without a warehouse, it can't flow into your analytics stack, your AI tools, or Rig's context layer.
So teams cope. Someone exports a CSV on Friday, uploads it somewhere, and hopes nothing drifted. Someone else bolts together a script that pulls from an API and dumps into a Google Sheet. It works until it doesn't.
Fivetran is hiring a freight company to move a sofa.
When teams look at "proper" ingestion, the options are enterprise tools — Fivetran, Estuary — priced and architected for scale. Connector minimums. Seat-based pricing. Complexity built for teams running millions of rows a day. For a company moving modest, varied data from a handful of sources, it's overkill you can't afford.
Built for the data you actually have.
Rig Ingest is built specifically for low-volume, high-variety data — CSVs, spreadsheets, API feeds. The exact mix early-stage companies actually run on.
It warehouses that data on a sensible schedule (hourly or every six hours) at a fraction of the cost, and feeds it directly into Rig's context layer so it becomes useful immediately.
It's not for high-throughput streaming — gaming, advertising, ad-tech firehoses — that's not the use case. It's for the company that just needs their data somewhere reliable, fresh, and connected.
Want to run it yourself?
The underlying library will be open sourced — bring your own warehouse, run it in your own infrastructure, keep everything in-house.