| What it does | Compliance gateway for AI products in the EU
| The model training platform for AI teams
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| Stage | MVP
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| Founded | Not given
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| Based in | HU
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| Pricing model | Not given
| Freemium
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| Pricing | Starter: €49/month for 10K traces/month with unlimited users and API access. Enterprise: €199/month for 100K traces/month with unlimited users, API access, SLA guarantee and priority support. Custom: Contact for unlimited traces with unlimited users, API access, SLA guarantee, priority support, cust
| Free: $0/month with $50 in credits once, 1 seat per project, every feature, console, CLI and MCP server, community Discord support. Pro: $120/month with $120 in credits every month, unlimited seats, priority support. Enterprise: Custom pricing, contact for details.
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| Key features | - Hash-chained audit records with cryptographic verification
- PII redaction at the gateway before storage
- Malicious call blocking and prompt injection prevention
- Human oversight approval workflow
- AI-generated content marking
- RAG reference document tracking
- 15-day incident reporting clock for Article 73 compliance
- Minimal latency overhead with streaming support
- Fail-open design ensures production stability
- Single base-URL configuration with no SDK changes
| - OpenTelemetry agent tracing and trace import from Langfuse, LangSmith, Braintrust and Galileo
- Generated evals and Agent Optimizer runs that return scored code diffs
- Data Workshop with dataset preparation and quality checks
- Model training with recommended settings for LoRA or full fine-tuning
- Benchmarks against your current model on the same eval set
- Hosted OpenAI-compatible inference and downloadable model weights
- Console, CLI and MCP server access
- OpenAI-compatible API for trained models
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| What makes it different | - Builds audit compliance automatically, not with months of engineering work
- Integrates with one base-URL change, no code modifications required
- Tamper-evident audit trail with cryptographic verification for regulators
- Records actual evidence documents used by RAG models
| - Own your trained models with downloadable weights and checkpoints
- Zero third-party training with data never leaving your pipeline
- Open source and self-hostable with Docker Compose
- Built by security and defense intelligence pioneers
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 44 ● no change since last check |
| Trust Flow (Majestic) | 0 | 10 |
| Citation Flow (Majestic) | 17 | 35 |
| Referring domains (Majestic) | 24 | 201 |