The regulated industry gap
Most AI products are built for speed first. Regulated companies need speed and evidence. Plugging agents into Slack, Notion, or a tracker will not make the audit trail appear later.
More informationRegulated operations · the agentic era
Control the work AI is about to execute.
nianav OS is the operating system for regulated startups entering the agentic era. One fabric for operations, compliance evidence, human oversight, and AI execution.
Why now
Agentic workflow changes the governance problem for regulated startups.
AI is moving from answering questions to executing work.
AI is beginning to read records, use tools, draft outputs, route decisions, and coordinate workflows. For an ordinary company this is a productivity shift. For a regulated company it is a governance shift.
Every AI-assisted action must be scoped, explainable, logged, reviewed, and connected to the procedure it belongs to. For regulated startups, AI governance means clear scope, named human accountability, review, and evidence in the same operating trail. The question is no longer "can AI do the task?" It is whether the company can prove what happened, why, who supervised it, what data was used, and whether the result stayed inside what it was allowed to do.
Audit debt starts on day one
Evidence accumulates whether the system captures it or not. Scattered procedures, CAPAs, risks, training, and AI outputs become debt the moment they are not connected to the work that produced them.
More informationEarlier than founders think
Regulated startups usually defer operating infrastructure until after the next raise or the first audit. That is backwards. The system needs to be in place before the first inspection, not assembled in response to it.
More information
What "agentic" means here
In regulated work, AI does not just answer. It does the work.
When AI does the work, it needs clear limits and a named owner.
"Agentic" is shorthand for AI that reads records, calls tools, drafts outputs, and routes decisions on its own. In a regulated company that work needs the same shape as the rest of the operation: a named owner, a permitted scope, a review path, and a sealed record of what happened.
That is the difference between "we used AI" and "we can defend how AI was used."
Who it is for
Regulated startups, before audit debt hardens.
Built for teams where evidence is part of the product.
Health AI, medtech, biotech, and fintech startups need to move quickly without letting compliance evidence, human oversight, and AI outputs scatter across disconnected tools.
Agentic workflows with defensible supervision.
Keep AI-assisted work tied to intended use, data scope, review requirements, and the record of what was read and written.
Design control, quality, and evidence in one flow.
Connect requirements, validation, change control, CAPA, training, and post-market follow-up around one operating record.
Process discipline without slowing down.
Route scientific, quality, supplier, and operational work through controlled steps that produce traceable evidence.
Operational proof around regulated decisions.
Make approvals, exceptions, controls, model use, and customer-impacting work visible, reviewable, and logged.
What the software does
The procedure becomes the operating system.
One fabric for work, rules, records, and AI execution.
Work runs inside the approved model.
Every step knows its owner, rule, permitted input, review requirement, evidence output, and next action.
Evidence is created while work happens.
Steps produce records, capture signatures, trigger follow-up, and preserve the audit trail without a separate reconstruction project.
AI operates under named scope.
Humans and AI agents can be assigned to steps, but the work stays connected to the procedure, data boundary, custodian, and review path.
Specialist tools stay connected.
CAD, clinical systems, finance engines, repositories, and filing tools remain specialist while nianav OS governs the workflow around them.
Project Zero installs the first operating system.
It turns your regulatory scope, org chart, selected archetypes, and customised templates into working, connected workflows, so your startup can use agentic workflows without losing control of evidence.