Sovereign AI Platform

AI you own. Reasoning your regulators can audit.

Verisa is a sovereign on-premise AI platform with graph-native reasoning that traces every conclusion back to a specific law, clause, or precedent. Built in the EU by Entel — a 35-year-old Hungarian deeptech vendor.

Two products on one sovereign substrate.

Verisa AI is the platform. Verisa Flow is the methodology layer that orchestrates work across it.

Verisa AI

Sovereign AI with graph-native reasoning
  • On-premise. Air-gapped if you need it. Your data never leaves your perimeter.
  • Graph-native legal reasoning, not just RAG — every answer traces to a specific law, paragraph, or precedent.
  • EU AI Act–ready audit trail, hardware-rooted licensing, source code escrow.
Verisa AI

Verisa Flow

Governance-grade AI orchestration
  • Five domains, one engine — code, documents, research, legal, process.
  • Multi-model consensus plus graph-backed structural verification.
  • Cryptographic pre-commit sentinel. Every AI-generated change is bounded, attributed, auditable.
Verisa Flow

Built for regulated work

Sovereign
By configuration
Cloud, on-prem, gov network, air-gapped
Zero
Egress
Air-gapped deployment supported
5
Workflow domains
Code, Docs, Research, Legal, Process
EU
AI Act ready
Audit trail, conformity scaffolding

Why Verisa

Direct answers to the questions regulated buyers actually ask.

Your data stays in your perimeter.

Fully on-premise or air-gapped, with phone-home blocking and DLP integration. The deployment mode is a configuration flag, not a slide.

The reasoning is auditable.

Verisa's graph reasoning resolves cross-references, exception hierarchies, lex specialis / lex posterior, and amendment chains natively. Every answer is a traceable graph path — not a black-box embedding.

Two AI models check each other.

Multi-model consensus with structured disagreement handling. Where they agree you ship; where they don't a human decides — and the decision is logged.

Built in the EU, for the EU.

Hungarian-language UI and ASR. Native KAÜ / DÁP / eIDAS integration. EU AI Act manifest fields per plugin. EU-sovereign foundation models when you need them.

Cryptographic audit trail.

TLS 1.3, mTLS between services, SHA-3-256 hash-chained audit log, hardware-rooted licensing, source code escrow. Tamper-evident, regulator-inspectable.

Five domains, one orchestration engine.

Code, documentation, research, legal, process — same methodology, domain-specific validation and delivery. Tabbed workspace, native desktop app, Microsoft Word plugin for legal.

How it works

From a complex requirement to a verified, delivered artefact.

01

Define

Pick the workflow mode. Verisa decomposes the work into sequenced tasks against an explicit spec.

02

Generate

Each task goes to the right model — fast or capable, cloud or local. Multiple models run in parallel.

03

Verify

Cross-model consensus plus graph-backed structural verification. Tests, compliance checks, style standards. Disagreements surface; they don't get averaged away.

04

Deliver

Verified artefacts move into your delivery pipeline — CI/CD, document publishing, approval workflows, compliance registries — with the audit trail attached.

Five domains, one engine

The same methodology, configured per domain. Tabs for parallel work, native desktop app, multi-platform messaging gateway for remote control.

Code

Spec-driven AI coding. Multi-model consensus, automated tests, CI/CD. Pre-commit sentinel blocks files outside the active task's whitelist.

  • Architect / Developer / Reviewer / QA agent roles
  • Auto-generated unit tests
  • GitHub Actions, GitLab CI, Jenkins integration
  • Cryptographic audit log of every AI-generated change

Example

"A small team ships a full-stack API with architectural guidance, automated review, and deployment automation — without a senior engineer on every keystroke."

See it in action

Methodology-driven orchestration with multi-model consensus and graph-backed verification.

terminal
$ verisa-flow start --mode code --project my-api
[Architect] Decomposing task into 4 subtasks...
[Developer] Generating auth module...
[Reviewer] Consensus review (cross-model)...
[QA] Running 12 unit tests... All passed.
[Pipeline] Pushing to staging via GitHub Actions...
output
Consensus: 3/3 agents agree (high confidence)
Validation: 12/12 tests passing
Pipeline: deployed to staging
Design sync: HLD updated (DESIGN-017)
Ready for production deployment.

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