What it sells
A 'last-mile' platform for data engineers in the AI era.
Business model breakdown
Buyer: who owns the budget?
UnverifiedData engineering leads / platform heads (inferred).
Trigger: what makes them buy now?
Data engineers spend their time on everything after writing Python: packaging, secrets, isolation, scheduling and observability; agents that write code now need secure production execution.
Workflow: what inputs become what output?
Write Python or dbt apps, deploy to Tower, schedule and orchestrate with observability and secure prod/dev environments.
Economics: what it saves and how it charges
Subscription seats plus usage compute minutes and add-ons.
Distribution: how it reaches customers
Self-serve signup with enterprise contact sales and partner channels (dltHub).
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| 2026-03-13 | — | €5.5M | — | news.google.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.