What it sells
AI-native context engine.
Business model breakdown
Buyer: who owns the budget?
Data/analytics engineering and data governance leaders (testimonials from Head of Analytics Engineering, Dir. Data & AI Governance).
Trigger: what makes them buy now?
AI agents on enterprise data hallucinate and give inconsistent answers because metrics and lineage are fragmented across BI tools; need governed context for agents.
Workflow: what inputs become what output?
Builds a live graph of lineage, meaning, ownership and governance across the stack, applies automated labels, and serves scoped context to agents (Claude, Cursor) via MCP; also column-level lineage, impact analysis, dbt-Looker sync.
Economics: what it saves and how it charges
Subscription tiered by number of data assets (resources) managed; unlimited users and AI agents.
Distribution: how it reaches customers
Demo-led sales (Book a demo); Start tier has Request pricing.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| 2026-09-10 | — | $23M | — | 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.