Developer Seeks External Validators for Evidence-Focused Multi-Agent AI System SSI V5

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Independent R&D developer Jan Kes has built SSI V5, an experimental multi-agent architecture designed to make evidence, provenance, and rollback central to system design rather than afterthoughts. The system features two separate cores — BODY_FROZEN for execution and DIRECTOR for orchestration — along with six experimental agents, and completed 720 paired missions across drone and humanoid scenarios in a software laboratory setting. A public GitHub repository serves as an evidence mirror, publishing sanitized run reports and test artifacts while keeping the proprietary source code private. The developer explicitly states that reported millisecond-range timings reflect software-flow measurements only, not physical robot or drone response times, and makes no claims of physical-world validation, safety certification, or production readiness. Kes is now seeking universities, robotics teams, and AI researchers willing to define externally frozen acceptance criteria for an independent validation pilot of the system.

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