NOWENOne agent per company, built to earn AI's trust.
Buyers don't start on a search page anymore. They ask Claude, ChatGPT and every assistant like them what to buy, who to hire, and which companies belong on the shortlist. Nowen gives every company a standing agent whose only job is making sure the answer buyers hear is accurate, current, and shaped on the company's own terms.
For twenty years, being found meant ranking on a results page. That page is quietly disappearing.
The assistants buyers consult today only recommend companies they actually understand, and most companies have no way to know what those assistants are saying about them, let alone shape it. Nowen closes that gap. Every company on the platform gets its own agent: a standing representative that studies the business the way a sharp new hire would, on day one, and then keeps working on its behalf every day after, without anyone having to lift a finger.
Four ways the agent earns its keep
Not a chatbot bolted onto a dashboard. A standing part of the company, doing work that used to take a team.
Shows up wherever buyers are asking.
Within guardrails the company sets for itself, the agent puts its best, most accurate case forward the moment an AI assistant is asked about it, with nobody needing to notice the conversation is even happening.
Reports back on how it's being judged.
It tracks how often the company is evaluated, as a vendor and as a competitor, and shows exactly where rivals are winning the conversation and why, turning something invisible into something a team can act on.
Does the vendor homework, on demand.
Ask it to compare a field of options against the criteria that actually matter to the business, and it scores, ranks and explains itself like a sharp analyst, then re-ranks instantly the moment priorities change.
Helps good ideas find their footing.
Even before a company exists, the same agent can size up a founder's experience and edge, then hand back a ranked list of businesses worth building, with the reasoning shown for every one of them.
Under the hood, for the technically curious
None of this shows up in a demo. It's why the agent holds up once real buyers, and real competitors, are watching.
Multiple models, matched to the job
Every task reaches for the right-sized model for the work: a fast, inexpensive model triages the field, and GPT and Claude get called in for the deep analysis, only on what earned it. Cost and quality tuned per step, not one model doing everything.
Benchmarked across engines, not guessed
To find out how a company is really being seen, the same buyer questions get put to more than one AI engine in the same run, so 'how are we doing on ChatGPT vs. Claude' is a measured answer, not an assumption.
A sixteen-stage build pipeline
Building a company's profile is a dependency-ordered chain: crawl, extract, position, evaluate, each stage aware of what the ones before it found. Change one fact and only what genuinely depends on it gets rebuilt, never the whole profile.
Real vector search under the surface
Company knowledge lives in a tuned vector index with a semantic reranking pass on top, so retrieval returns what's actually relevant to a question, not just what happens to share a keyword.
Built to heal, and to check itself
A failed crawl quietly retries before giving up. An AI answer that fails validation gets told exactly what was wrong and is asked again, automatically, before it's ever shown to anyone.
Speaks the protocol AI assistants use
Every company's agent runs behind a real Model Context Protocol server, the open standard behind how AI assistants call out to live data, engineered with the timeout and error handling a production integration actually needs.
Designed and built, end to end
We designed and built Nowen for its founders, from the first architecture decision to the product live in front of buyers today. That includes the profile every agent builds of the company it represents, the judgment that lets it compare, rank and explain itself the way a sharp analyst would, and the experience, for company owners and for the AI assistants themselves, that makes the whole thing feel trustworthy from the very first conversation.
See an agent build a company's profile in real time, or ask one to compare vendors on your behalf.
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