Trovano Core checks every figure in your monthly client reports against your own billing and CRM, and flags each mismatch with the exact source cells behind it. One export to start. No integrations, no IT.
The check is the first workflow of an AI layer that teaches itself how your whole agency works, then runs it. Watch your agency run on Trovano →
AI agents are flooding into every company. They are smart, but generic. They don't know how your company actually runs, so a human has to re-check everything they produce, which erases most of the point. The bottleneck moved from intelligence to something harder: memory, grounding, and knowing how the business really works.
Trovano is that missing layer, underneath the agent flood. It teaches itself how a company runs by watching the work, which reports go out, where each number comes from, who approves what, how a job moves from request to done. It stores that as memory and assembles its own skills, tools, and rules from it. It turns your corrections into standing checks, so it improves on its own and compounds over time. The customer does nothing and the payoff grows anyway.
As it earns trust workflow by workflow, it moves from checking the work to doing the work, department after department, until the company runs on one governed, self-building brain. Building this is genuinely hard: self-learning that stays safe, memory that stays current, autonomy that stays auditable. That is why the generic agents flooding your inbox haven't done it.
Each team gets its own graph of its real workflows and where every number lives. Those graphs federate into one org-wide brain, so the company has a single, current, checkable picture of how it actually operates, not a wiki that goes stale.
Trovano captures how work gets done from real usage. Each workflow it learns becomes memory it can reason over, then a task it can do. The first check runs from a single export.
It checks each output against its source, and when a human corrects a flag, that correction becomes a rule it enforces on itself. The system tightens on its own and compounds daily.
Trovano earns permissions the way you'd let a new hire earn them. Each rung is gated by measured performance on your own work, not by our confidence.
I built this for myself first, as a fleet of agents that runs my own life and a real business. The same architecture, departments as agents under one federated brain, is what scales it from an individual to an enterprise.
You don't buy the whole vision on day one. You start with the first workflow that proves it: verifying the numbers in your client reports against your own billing and CRM, so a wrong number never reaches a client. It works from one export. No integration, no IT. That first check is how Trovano starts learning the rest of your company. Here is exactly where it goes from there.
A pilot starts with a back-test on your last three months of already-shipped reports. If there's a number a client already saw, that's where we find it.
Since April 2026, the system Trovano is built on has run in production as a daily driver, operating one founder's life and finances. In July it stood up a real construction company's operations, invoicing and compliance included, in a matter of days. It runs as a fleet of role-specialized agents on shared architecture, a single org-partitioned memory that returns what's currently true rather than what used to be, a self-improvement layer that turns corrections into rules it enforces on itself, and a governance layer that checks claims against their source before anything ships.
It proves the architecture works, and that one person can build and operate it. It does not yet prove extraction on other companies' messy real-world data at multi-customer scale. One user so far. No paying customers on the product yet. That's exactly what the first design partners are for, which is why every pilot starts with measured accuracy on your own reports.
See the fleet as it runs: five Cores, 84,000+ entities, 151,000+ graph edges, every number queried from the live system when the page was built. Counts and structure only, no contents.
We're taking a small number of design partners. Send us one thing you'd want verified, or just what your company does, and we'll come back with how a first check would work. No obligation.
I'm Nick Nuraliyev, and I'm building this solo. I got Claude Code early in 2026 and built this system by directing AI: I architect it, the agents execute, and everything they produce is checked against a source before it ships, the same discipline Trovano sells. It runs my own life and a real construction company's operations, which makes me employee zero of the thing I'm selling. Trovano is that system, built to point at your company instead of mine.