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xAI, Anthropic, OpenAI, SpaceX/Starlink — companies too important to ignore but not yet on the tape.

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Everything you do on RAPTOR accumulates into a personal knowledge graph — a "cognitive stack" built from your own activity over time, not seeded from anyone else's data. It runs in two layers. The first is factual and automatic: a baseline model that works for every user from day one, with nothing to configure. The second is deeper and behavioural, and it is strictly opt-in — it only ever starts building because you chose to turn it on, it is trained by your own accumulated usage rather than applied to you passively, and you can switch it off at any point and revert to the factual baseline alone.

Teams can build a shared stack the same way an individual does, pooling collective evidence into one graph scoped to the group.

Once it is built, you own your stack. RAPTOR remains the data controller underneath — hosting, infrastructure, processing — but ownership, and any decision to make it public or rentable, belongs to you.

Normally a team assembles compliance evidence by hand, item by item, starting from nothing. This inverts that. Because your cognitive stack has been accumulating real evidence the whole time you have been working, the tooling here will map what you already have against what an audit framework actually requires — turning "start a compliance programme from zero" into "review and confirm what has already been assembled."

This tab will grow into the home for that work: evidence mapping, policy and risk tracking, document intake, and audit programme management.

Three frameworks are planned for the first release, with others — covering security, privacy, and AI governance more broadly — expected to follow. Naming this tab after any single standard would box it in exactly as it is about to expand, and nobody would think to look here for a framework that is not in the name. Governance, Risk & Compliance is the industry's own umbrella term, so it does not need renaming every time something is added.

The engine underneath is an established open-source GRC platform, running quietly as infrastructure rather than as a brand you have to learn. Its licence and copyright notices are preserved on our licences page.

This will never be a system that lets anyone certify themselves. That is not how compliance works, and a tool that let you click a button and walk away calling yourself certified would be producing certification fraud, not a shortcut. The tooling accelerates evidence preparation — nothing more.

A qualified human auditor reviews what has been assembled, asks the clarifying questions, works through it with you, and submits to an actual accredited certification body for approval. That review is real work and is charged as such.

Until a certificate is genuinely granted by that body, the language stays "complying with" a framework — never "certified." That is the same standard RAPTOR holds itself to when describing its own compliance posture.

Teams and individual users preparing their own certification groundwork from evidence they have already accumulated.

Accredited auditors using this as their actual working tool, with client documents arriving through the same automated intake.

Independent certified auditors who want to license the platform for their own client work, rather than it serving only RAPTOR's own audit practice.

Vercel-hosted LLM tools enforce 30-day rolling limits — not calendar. Most users hit the wall mid-month with no warning.