Before AI
GATE
Control prompts, documents, sensitive data, destinations and internal policies before transmission.
NELSIA · GATE + CONTROL + AGENT
Govern AI end to end.From data to action.
NELSIA is not another generative agent. It is the AI-governance product family built on NELSE ENGINE. One deterministic regulatory core powers three control points: what goes into AI, what AI does in production, and what an agent is allowed to do before effect.
Three control points · one engine
In operation
CONTROL
Track versions, live behaviour, drift, human review, incidents and evidence over time.
Before effect
AGENT
Evaluate an agent action against explicit rules before an API call, click, write, send or delegation produces an effect.
What the buyer gets
Governance artefacts, not only a dashboard.
AI Governance File
System scope, versions, risks, policies, accountable roles and reviews.
Technical File Map
Links Annex IV elements to internal sources, owners and versions.
Evidence Pack
Exportable subset of events, decisions, validations and evidence references.
Audit Trail
Structured chronology of changes, controls, reviews and incidents.
Human Review Record
Who had to review, who did, on which version and with which outcome.
Incident Review Pack
Material needed to reconstruct a disputed or abnormal AI event.
Regulatory deep dives
AI Act
Map requirements to governance objects, human review and evidence.
Explore Annex IVBuild a Technical File linked to real system versions and artefacts.
Explore Incidents & litigationReconstruct version, facts, rules, human intervention, effect and evidence.
Explore Public proof verifierRecalculate hashes, chain continuity and root directly in the browser.
ExploreBoundary
Automate control. Keep accountable judgement human.
NELSIA can structure, enforce and evidence explicit policies. Legal qualification, final conformity assessment, residual-risk acceptance and professional judgement remain with the competent people and organisations.
Fail closed where required
Missing facts, required evidence or mandatory human validation can remain explicit blocking states rather than being silently guessed by an AI model.