| What it does | Secure AI agents, with evidence
| Encoding Human Expertise into Machines
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| Stage | Not given
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| Founded | Not given
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| Based in | GR
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| Pricing model | Freemium
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| Pricing | Community: €0 (open source, 1x monthly testing volume, weekly monitoring, 3 seats, 30-day data retention). Team: €349/mo (20x monthly testing volume, 10 seats, 90-day data retention, webhooks, priority support). Enterprise: Custom pricing (contact for details).
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| Key features | - Automated adversarial testing with multi-turn and agentic attack chains
- Black-box testing without SDK installation or agent modification
- Four-tier Humanbound Firewall with LLM judge
- Continuous posture score from 0 to 100
- Framework mapping to EU AI Act, NIST AI RMF, OWASP LLM Top 10, OWASP Agentic AI Top 10
- Air-gapped testing with self-hosted models like Ollama
- Export compliance evidence in HTML, PDF, JSON, SARIF, CEF formats
- Webhook integration with SIEM and ticketing systems
- Apache-2.0 open source CLI, testing engine, and SDK
- Baseline campaign completion in hours
| - Converse-STT Benchmark for speech-to-text evaluation
- Converse-Diarization Benchmark for speaker attribution
- Expert network with domain specialists
- Audiovisual conversational datasets
- Multilingual conversational AI datasets
- Open-source model post-training research
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| What makes it different | - Continuous monitoring instead of point-in-time reports
- Adaptive multi-turn attack chains that evolve over time
- Same open-source code as platform with nothing held back or limited
- No account required for local open-source testing
- Framework mapping and compliance evidence for regulatory requirements
| - Real-world conversational data from elite professionals
- Multimodal and multilingual expertise encoding
- Rigorous benchmarking with open-source evaluation tools
- Custom data pipelines for each discipline and accent
- Focus on nuance beyond scale, capturing lived experience
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 13 ● no change since last check | 27 ● no change since last check |
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| Trust Flow (Majestic) | 8 | 4 |
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| Citation Flow (Majestic) | 30 | 32 |
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| Referring domains (Majestic) | 71 | 264 |
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Humanbound
Ocular AI