Independent due diligence, done by a person you can name.
Hlinor reviews AI systems and legacy platforms for owners and operators. Every report is human-reviewed, every method is public, and every finding comes with evidence you can check.
Who is behind Hlinor
Hlinor is founded and run by Andrei, an engineer and operator who builds and maintains production systems - including revenue-generating e-commerce platforms and open-source AI governance tooling.
The same systems Hlinor reviews for clients are the systems its founder runs personally: old CMS platforms that still make money, and AI agents whose behavior needs evidence, not promises.
Verify the work
- github.com/HlinorAI - open-source agent governance tooling
- pypi.org/project/hlinor-registry - published Python package
- facebook.com/HlinorAI - company page
- Case studies - anonymized audits with real findings
- cases@hlinor.com - direct contact, no sales layer
How Hlinor works
- Read-only discovery first: nothing in production changes during an audit.
- Deterministic where possible: findings come from rules and evidence, not vibes.
- Human-reviewed always: AI assists the analysis, a person signs the report.
- Owner-friendly: every report has a non-technical summary and a technical appendix.
Why the tooling is open source
An audit you cannot inspect is an opinion. The scanners, policy formats and rules behind Hlinor reviews are published on GitHub, so your engineers can verify the method before trusting the conclusions.
Talk to a person, not a funnel.
Send a short description of your system and the decision in front of you. You will get a direct answer on whether an audit makes sense.