LimitifyBuilt as infrastructure from day one, not bolted on after.
Limitify AI is an AI infrastructure layer: it builds, permissions, and self-improves the agents that power client products. It does not own product logic, pricing, or user relationships — those belong to the client. Limitify AI owns the agents, their governance, and everything they learn.
Same owner today, architecturally separate from the first line of code. SmartifyTrade is Client #1 — not a subsidiary of Limitify AI's product, but its first proof point.
Every run is the track record.
A production agent that has handled real queries, been corrected by real reviewers, and improved across recorded versions is a fundamentally different asset than a demo. Structuring the code and the data collection this way from day one — deployed_for fields, permission gateways, append-only version history — means that record exists automatically, not as a retrofit before a sales pitch.
Where this goes next.
Client #1 — SmartifyTrade
10 agents live, 3 in active development, proving the governance model under real production load.
Track record accumulation
Every run, log, and version bump builds the performance history that becomes the sales case for Client #2.
Multi-client deployment
The same registry, gateway, and learning-loop architecture — reconfigured, not rewritten, for a new client.