CentralAgent makes your AI agents understand your company like your most tenured engineer. It deploys inside your own infrastructure and learns automatically from your meetings and connected tools — s
Current Status
Live in production on ourselves: CentralAgent runs on CentralAgent. Every meeting, standup, and coding agent at the company runs through the brain daily — 1,700+ knowledge pages, 130+ meetings ingested in the last 90 days, public demo portal at demo.centralagent.ai. Built in ~3 months by a team of 5 (solo founder + 2 founding engineers + 2): ~490 PRs merged, 34 CI pipelines, 9 live end-to-end test suites, and measured benchmarks behind every claim. Commercially: 4 signed LOIs, 2 design partners (a 3rd in progress) and a pipeline that includes a global bank. —
Problem or Opportunity
Every software company runs on domain knowledge: why the architecture looks the way it does, what broke last time, what was promised to which customer. That knowledge lives in the heads of a few senior engineers and evaporates in meetings and chats — most decisions never get written down. So teams, and now AI coding agents, ship fast but wrong: plans that break downstream systems, re-litigated decisions, months-long onboarding, and principal engineers interrupted all day to repeat context. AI made writing code cheap, which made missing context the most expensive problem in software. We validat
Solution (product or service)
CentralAgent is the company's live engineering brain — the first agent principal engineer. A meeting bot and ingestion pipeline capture daily company events in real time (Google Meet audio, Granola meeting notes, chats, calendars); an event-driven graph-memory engine turns them into a queryable company knowledge graph, and our continual-learning brain goes further: t trains new facts into open-model weights within ~30 seconds of them being said. A statement made in a meeting becomes queryable knowledge in under 15 seconds.
Business model
B2B SaaS, usage-based, land-and-expand. CentralAgent deploys inside the customer's cloud, and 2026 pricing is pure pay-as-you-go: a 30% markup on the model tokens CentralAgent processes, no platform fee — price scales with the knowledge processed, so there is no shelfware. Pilots are paid from day one (6-8 weeks, money-back guarantee). We land on one engineering team (25-30 developers, ~$30K/year) and expand across teams and use cases toward $100K+ ACV; enterprise adds committed-minimum contracts. Used to its potential, CentralAgent costs roughly 1/20th of one principal engineer
