What it sells
Self-evolving enterprise agent employees trained with business reinforcement learning.
Business model breakdown
Buyer: who owns the budget?
UnverifiedBusiness-line heads and CIO/digital leaders at enterprises (agents optimise revenue/profit KPIs).
Trigger: what makes them buy now?
UnverifiedEnterprises whose AI projects stall because business feedback is sparse and delayed and generic LLM agents do not move revenue/profit KPIs; they want agents optimised directly against core KPIs.
Workflow: what inputs become what output?
Agents are built with commercial reinforcement learning, run 7x24, and keep self-optimising through trial and error against business KPIs instead of fixed workflows.
Economics: what it saves and how it charges
UnverifiedOptimises agents directly for core enterprise KPIs (revenue/profit); commercial model not published, likely project/solution fees.
Distribution: how it reaches customers
Enterprise-led: deep cooperation with leading industry clients (recruiting copy says "与行业头部客户深度合作"); offices in Beijing (Tsinghua Science Park) and Shanghai (SMC).
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| 2025-10-24 | Seed | $8M | Lanchi Ventures (lead); 光源创业者基金 | finance.sina.com.cn |
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 2026-10-13.