Verified context for AI agents
The verified context and self-improving layer for every AI agent your company runs — engineering, sales, support, and beyond.
The problem
AI agents are moving into every function — writing code, updating your CRM, running outreach, resolving tickets. But they’re amnesiac and ungrounded: they re-derive how your company works every session, then act with total confidence on what they don’t actually know. A change ships against a decision your team already sealed. A record updates against a policy you reversed last week. Because the work sounds certain, it clears review. Across dozens of agents, that isn’t speed — it’s confident mistakes, compounding.
How Verum works
Verum builds one cross-domain brain — your business decisions and your code, joined by a bridge — and verifies every fact before an agent is allowed to use it. The same brain answers “what breaks if I change this?” and “what did we decide about this customer, and is it still true?”
Verum runs a private learning environment for each company, training on your own history of decisions and outcomes. It learns only from verified results, so your agents get sharper every week on how your company really operates.
Who it’s for
Verum is horizontal by design. The same verified brain and the same learning environment serve every function. Pick one — see what its agent gets.
verum › brain_search(“what breaks if I change the auth flow?”)
We’re onboarding a small group of design partners. Request early access and we’ll be in touch.