What it sells
AI agents for data science (enterprise)
Business model breakdown
Buyer: who owns the budget?
UnverifiedOperations, finance and data leaders at healthcare networks, retail groups and industrial manufacturers.
Trigger: what makes them buy now?
Fragmented ERP/WMS/MES/CRM data blocks forecasting, collections, supply chain and maintenance decisions.
Workflow: what inputs become what output?
Forward-deployed engineers connect enterprise data into a digital twin, then build analytics, prediction models and agentic workflows (e.g. order to cash, demand forecasting, predictive maintenance).
Economics: what it saves and how it charges
UnverifiedServices plus platform engagement: forward deployed engineers deliver a turnkey AI operating system (platform, compute, models, deployment); contract values not shown.
Distribution: how it reaches customers
Sales-led: talk to team / book a meeting, by industry (healthcare, retail, industrial); sovereign and model-agnostic deployment.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Spring 2026 | — | Y Combinator | ycombinator.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.