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Governance infrastructure for AI agents that act.

Ond researches how an agent's actions are approved, bound to what runs and proven afterwards, and builds OSuite to put that into production.

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Backed by Block71 NVIDIA Inception Program Official partner Australian Signals Directorate Australian Cyber Security Centre Network Partner

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The research behind OSuite, and what comes next.

Papers on how an agent's action is identified, authorized and proven before it runs. Matoi is a research release, not a hosted OSuite Studio rollout.

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Cited in independent research. See the citations · Read the note

More research: Bounded Action Firewall · Agent Runtime Exposure Graph · Runtime Exposure Management

OSuite

Approve high-risk AI work before it runs.

OSuite holds consequential agent actions for a person to approve, binds each approval to the exact action that runs and keeps replay-ready proof, across Claude Code, Codex, MCP tools, SDKs and gateways.

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$ curl -fsSL https://studio.osuite.ai/install.sh | bash How it works →

OSuite Studio decision replay for an export that required approval: risk score, result, cost, verified identity and runtime contract.

At Ond, we build governance infrastructure so AI agents can serve organizations without escaping human authority.

OSuite is Ond's first flagship product: an action-boundary proof layer for the actions agents take inside real businesses.

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Bring trust to autonomous enterprise operations.

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