Safe Intelligence
London AI validation company using formal verification to find fragile models, with a spec-driven agent product
Quick Overview
| Company | Safe Intelligence Limited |
|---|---|
| Category | AI Security Platforms |
| Headquarters | London, United Kingdom |
| Founded | Not stated |
| EU Presence | Yes - United Kingdom |
| Data Location | Not stated on the pages reviewed |
| Open Source | No |
| GDPR Compliant | Yes |
| Self-Hosting | Not stated |
| Main Features | Formal verification of neural networks, decision trees and random forests, region-based performance analysis, model repair, agent validation (Spec27), monitoring alerts, vision and tabular model checks |
| Pricing | Pricing on request (demo) |
| Best For | Teams with classic ML or vision models in safety-critical settings as well as agents |
| Replaces | HiddenLayer model attack simulation |
Detailed Review
Safe Intelligence works at the model level. Validate finds fragilities and counterexamples, the repair step reduces them, and Monitor watches for new ones over time.
Its terms are with Safe Intelligence Limited, a company registered in the United Kingdom, and the privacy notice gives a London address.
Regions, not points
Most tests probe single inputs. The site describes analysing performance over whole regions of input space and formally verifying regions against broad classes of perturbation, for deep networks, decision trees and random forests.
Spec27 for agents
Spec27.ai was introduced on 8 April 2026 as spec-driven validation for AI applications and agents. It generates test sets for deep coverage, checks security and resilience and tracks agents across an organisation.
Repair as a step
Beyond finding faults, the repair step removes fragilities and lowers variance in trained models, which few red teaming tools offer.
Limitations to Consider
It is a validation specialist, not a runtime shield or gateway. Product detail is thin on the pages reviewed, with no prices, hosting or certification information.
Who Should Use Safe Intelligence
Engineering teams with vision or tabular models in regulated or safety-critical use that also need to test newer LLM agents.
Pros and Cons
Pros
- Formal verification approach
- Covers classic ML as well as agents
- Model repair step
- Spec-driven agent testing
- UK company
Cons
- No inline protection
- No public pricing
- Little deployment detail
- Smaller product footprint
Alternatives to Safe Intelligence
Other European ai security platforms worth comparing before you decide:
Mindgard
United Kingdom · London AI red teaming that attacks, fixes and retests
NeuralTrust
Spain · Barcelona agent gateway and runtime guard with free tier
Advai
United Kingdom · UK AI assurance: choose, test and monitor AI systems
Giskard
France · Paris open-core red teaming and testing for AI agents
See all European ai security platforms or compare them directly against HiddenLayer model attack simulation on our alternatives page.
Frequently Asked Questions
Spec27.ai is Safe Intelligence's spec-driven validation product for AI applications and agents, introduced in April 2026.
Yes. The site covers neural networks, decision trees, random forests, vision and tabular models.
No. It validates, repairs and monitors models rather than blocking requests in flight.