VERITAS INSTITUTIONAL

Professional AI your organisation can trust and govern.

Give your teams the benefits of AI while keeping control over documents, sources, access and accountability.

For universities, law firms, healthcare organisations, companies and public institutions.

  • Built in the European Union
  • EU storage, processing and AI inference
  • Privacy and access controls
  • No training by Veritas
  • Sources you can inspect
  • Human review

Professional AI you can verify.

The question is how your organisation controls AI.

Sensitive-data deployment requires institutional review and agreed contractual and technical conditions.

  • 01Organisation administration
  • 02Policy comparison
  • 03Governance

From documents to a useful result

Illustrative example · fictional documents

Your question

Compare our internal policies and identify conflicting responsibilities.

Evidence

1

The policies name different approval owners.

2

A responsible person must resolve the conflict before a consolidated policy is approved.

Review before use · Sensitive-data deployment requires institutional review and agreed contractual and technical conditions.

Sources

Policy A · approval Inspect the source
Department heads approve requests before submission.
Policy B · approval Inspect the source
The compliance team approves requests before submission.

A governed report with source references and a human review decision.

Book an institutional demo

Professional workflows

Policy answer

Answer from selected internal policies and identify requirements, conflicts and escalation owners.

Policy comparison

Compare scope, ownership, obligations, exceptions, approval paths and conflicting controls.

Decision brief

Structure evidence, options, trade-offs, policy constraints, owners and open questions.

A practical route to institutional adoption

  1. 01

    Define the use case

  2. 02

    Review security and contracts

  3. 03

    Pilot with approved material

  4. 04

    Agree access and rollout

Existing controls

  • Server-side identity and access checks
  • Private document storage and deletion controls
  • Organisation administration
  • Audit trail
  • Retention and export

Review before deployment

Our security documentation describes implemented controls and contractual requirements. It does not claim unverified certifications, independent audits or regulatory approval.

Individual access follows the selected plan and limits. Team plans start at three seats. University and institutional licences require agreed seats, usage and contractual conditions.

Request security documentation

VERITAS TRUST

Your data deserves straight answers.

Is our data used to train AI models?

Customer Content is not used to train Veritas Ask. Inference, security logging and retention are separate processes governed by the applicable agreement.

Where is our data stored and processed?

Customer Data is stored and processed within the European Union, including AI inference. Detailed infrastructure locations are not published.

Does our information leave Europe?

The standard service has no exception for routine processing or support outside the EU. Changes require prior agreement and applicable legal safeguards.

Can we upload confidential documents?

Authorised professional work with personal data is permitted under the applicable legal basis and DPA. Sensitive data requires an agreed controlled deployment. Classified information is excluded from the standard service.

Can we compare Veritas with another AI?

Yes. Use the same authorised or anonymised documents and question. Compare source accuracy, missing evidence, uncertainty and the human correction required.

How do individual and university licences differ?

Individual access follows the selected plan and limits. Team plans start at three seats. University and institutional licences require agreed seats, usage and contractual conditions.

Built in Europe for professional responsibility.

Veritas Ask is developed by MAŃSKI AI s.r.o. in the European Union around a simple principle: a professional answer is more valuable when its evidence, uncertainty and provenance are visible.

Compare on evidence, not promises.

Check sources, uncertainty, missing information and the work needed to reach a usable result.

Discuss your deployment

Explore a specific task

See the difference with your own work.

Bring a real question. Use authorised documents. Compare the result.