CAM Protocol produces AI outputs as structured, reviewable artifacts—designed for verification, traceability, and jurisdiction-aware deployment.
The result is faster approvals, less rework, and defensible outcomes in high-stakes environments.
Not a model replacement. Not a chatbot layer.
A protocol layer for environments where verification, auditability, and jurisdiction constraints are non‑negotiable.
Models can draft in seconds. Institutions and communities still need answers to:
When output is opaque, review cycles multiply, risk rises, and adoption stalls.
Generate structured artifacts aligned to policy, domain rules, and approval workflows.
CAM is designed to apply constraints during production so review happens earlier—not only after the fact.
Artifacts can be logged, replayed, and governed in environments where auditability is required.
Key benefit: governance is built-in and outcomes are reproducible. CAM Protocol is designed to support regulated and resource‑constrained environments where auditability and traceability are operational requirements.
ZiiBii builds for environments where data stewardship is not optional—especially where consent, provenance, and authority must be respected by design.
Our sovereignty posture is informed by Indigenous data governance frameworks (including CARE principles and OCAP®‑aligned practices where applicable) and implemented as:
We do not generalize one community's governance to another. Each engagement is led by local authority and consent.
Governed output infrastructure for verification, auditability, and reproducible rendering.
A community-first initiative focused on knowledge stewardship, consent, provenance, and respectful representation—especially where traditional knowledge requires governance, not extraction.
Diff-native publishing infrastructure for multi-artifact outputs: versioning, provenance, editorial governance, and durable change history—built for the era where both humans and AI systems read your work.
ZiiBii is led by a team combining:
No. ZiiBii builds protocol infrastructure around model output. CAM Protocol is designed to work across model providers and deployment environments.
No. CAM Protocol does not claim perfect correctness. It is designed to support verification, traceability, and reproducible rendering so outputs can be reviewed and governed.
A reviewable representation of an output designed for governance: constraints, provenance, audit trails, and reproducible rendering—rather than a single opaque text block.
No. CAM Protocol is designed to apply constraints during production so governance happens earlier—before deployment and sign-off.
Deployment varies by jurisdiction and requirements. We support sovereignty-first defaults and minimized disclosure. Specific retention and processing terms are defined with partners.
We treat governance as real authority, not "policy text." Consent, provenance, and local control are first-class. We do not generalize one community's rules to another.
Indigipedia is a stewardship initiative. Visibility, contribution, and governance are defined by the project's rules and community authority.
No. ZiiBii provides infrastructure and workflow tools. Legal and medical determinations remain with qualified professionals.
If you operate in a high-stakes or regulated environment—and governance, auditability, or jurisdiction constraints are blocking adoption—we should talk.
We engage with a small number of early partners where governance requirements are explicit and measurable.