What it sells
Teaches AI agents how companies work.
Business model breakdown
Buyer: who owns the budget?
UnverifiedTeams owning agent automation (engineering/AI platform leads).
Trigger: what makes them buy now?
Agent failures from stale or contradictory context, rework and rising inference cost at production scale.
Workflow: what inputs become what output?
Connect existing systems, trace handoffs by people and agents, resolve entities/time/contradictions, hand each agent the minimal current state, then measure completions, intervention rate and cost.
Economics: what it saves and how it charges
Volume pricing with per-item rates that fall as workflow volume grows, option to bring own inference; first workflow proof subsidized for qualified teams.
Distribution: how it reaches customers
Request-an-evaluation, sales-led with single-tenant deployments.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| 2026-10-12 | — | $5.2M | — | news.google.com |
| 2026-10-07 | Pre-seed | $5.2M | — | 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.