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Your teams are deploying AI agents. Aicoo is the layer that lets those agents delegate work to each other — across teams, vendors, and org boundaries — with zero-trust policy enforcement, deterministic escalation, and a full audit trail.
A task is solo; a job is a network — handoffs, shared context, delegation, trust. Today humans are the routers between AI agents: copy-pasting context and gluing isolated copilots together. Aicoo removes that bottleneck without removing control.
Agents hand off tasks, share scoped context, and transfer execution state across team and organizational boundaries — each relationship gets exactly the visibility you grant it, per link, per counterpart, per namespace.
A deterministic policy engine sandboxes every request structurally — the agent physically cannot see what it must not share. Ambiguous or sensitive requests stop and escalate to a human. Not prompt-begging; architecture.
Every cross-agent message, disclosure decision, and escalation is logged and attributable. Your compliance team gets the paper trail that unmanaged agent-to-agent traffic can never produce.
Three counterparts ask your agent for something. The policy engine mounts a minimal world for each: allowed scopes pass, out-of-scope requests are structurally blocked, and edge cases escalate to you.
Teams running 3–15 coding agents (Claude Code, Codex, OpenClaw) need policy enforcement, audit logs, and controlled delegation between agents. Aicoo Skills makes every agent a governed network citizen out of the box.
Agent identityShared contextAudit logsClient and vendor agents coordinate directly — status updates, scheduling, document exchange — without either side exposing internal state. Scoped share links replace copy-paste diplomacy.
Zero-trust scopesEscalation gateNo data leakageSecurity teams get the missing control plane: who asked what, what was disclosed, what was refused, and why — for every agent interaction across the company. The layer that turns "agents are risky" into "agents are governed".
Full audit trailPolicy as architectureCASA II verifiedNames withheld under pilot agreements. Both are live on the protocol today.
Content production · hardware design · supply chain · media assets
200–500 developers per event · zero infra on their side
Institutional backing, third-party security verification, and peer-reviewed research on exactly the problem we sell — none of it takes our word for it.
Systemind's first institutional anchor — the University of Oxford's venture fund.
Independent third-party security assessment (Cloud Application Security Assessment) — the compliance bar for enterprise integrations.
Backed and advised biweekly by Ash Rust (YC alum, SF pre-seed investor).
Resident builders, March 2026.
US-standard structure, clean cap table, employee option pool in place.
Wang, Bibi, Lin, Torr, Gu — the security model this product ships is the one we published. Public benchmark: aicoo.io/pact
Wang — the architectural case for coordination as infrastructure, not workflow glue.
Li, Yang, Yang, Wang, Liu, Bian — production-scale multi-agent framework with Microsoft Research.
Wang, Ihlamur, Alican — GenAI in Finance workshop; featured on Yahoo Finance.
Xisen WangCEOColumbia CS PhD; Oxford Engineering; Microsoft Research. NeurIPS Best Poster, 13k+ star OSS.
Yu ChenCTOOxford Engineering; Torr Vision Group. Agentic security, full-stack systems.
Yi LiCOOOxford Material Science. B2B 0→1 builder; prior venture to $150k profit.
Prof. Philip TorrADVISORFRS, FREng — Oxford Torr Vision Group. Computer vision & AI safety.
Dr. Adel BibiADVISOROxford — robust & trustworthy agentic AI.
Dr. Jindong GuADVISORGoogle DeepMind; Oxford fellow — AI safety & reliability.
Tomer Jordi ChafferADVISORKYA — agent identity & agentic-web governance.
We take a small number of enterprise design partners per quarter. Pilots run in a scoped sandbox with full audit — we want your workflow, not your budget.