Public BP
ForgePilot — public business plan summary
A public, non-confidential summary. Detailed financials, cap table, and closed materials stay off this page. For pilots and investors: contact via LinkedIn / founder email on the LinkedIn profile.
Problem
Enterprises drown in documents, SOPs, and tribal knowledge while AI pilots stall. Models cannot safely reason or act over messy, untrusted information. Agents are plentiful; supervision and computable knowledge are scarce.
Solution
ForgePilot turns enterprise knowledge into structured, version-aware, computable knowledge, then lets agents reason and execute under governance. WorkPatner is the manager layer: assign, watch, approve, and redirect workers on desktop and phone.
Product path
- Knowledge & digital twin — ingest manuals, SOPs, topology, runtime signals
- Evidence → decision — hypotheses, workflows, policy before action
- Supervised action — WorkPatner runs and supervises local / remote agents
- Learning loop — outcomes feed knowledge and governance
Wedge & validation
Starting wedge: smart manufacturing — agents that carry production knowledge and support quality / operations decisions. Prior vertical validation includes complex FinTech automation (MARS) in regulated environments, informing the same knowledge → workflow → agent architecture.
Thesis
2027 is positioned as an inflection year for AI in manufacturing: from experimentation to operational deployment. The durable moat is not a larger chat model — it is computable knowledge plus supervised execution.
Stage & ask (public)
Seed-stage company (ForgePilot LLC). Public ask: pilot customers and design partners in manufacturing; conversations with investors who care about industrial AI infrastructure. Partner surface: partner.aiforgepilot.com (under construction).