Proof, Not Promises

Build an intelligence asset
you can prove.

If the work your organisation does with AI is going to compound, you need to know what happened, why it happened, and whether you can reproduce it. This page collects the evidence as it is released.

Benchmark results

We are running the full MMLU suite against our governed model choir and graph retrieval layer. The results — including head-to-head comparisons against frontier lab performance — publish here on release.

We will publish the methodology with the results. The point is not a number in a sales deck; it is evidence your own technical team can inspect and reproduce.

MMLU Suite

Publication pending
Aggregate accuracy— —
Graph-grounded retrieval— —
Uncertainty calibration— —

Figures intentionally withheld until the full methodology is published alongside them. We will not cherry-pick.

Why our benchmarks matter

A score is only useful if you can trust how it was produced

Most vendor benchmarks are run on a configuration you will never deploy. Ours are run on the same governed, in-perimeter architecture you would actually operate — model choir, HELLGRAPH knowledge layer, and evidence fabric included.

Every result will ship with its methodology so your own technical team can reproduce it. Outputs are proof artifacts — evidence-bearing by construction, with provenance and reversibility built in. That is the difference between marketing and evidence.

Architecture whitepaper

A technical deep-dive into the control plane, the evidence fabric, the boundary model, and the cryptographic signing model — written for CIOs, CDOs, and security architects.

Available on request under NDA

Security & certifications

  • SOC 2 Type IIIn progress
  • ISO 27001In progress
  • MMLU Benchmark SuitePublication pending
Frequently asked questions

Straight answers to the questions buyers ask

What is SocioProphet?

SocioProphet turns your organisation's use of AI into an asset you own. It installs inside your own environment and produces a signed, replayable evidence record of every AI and agent action — so the knowledge you build can compound without leaving your control.

Does my data leave my environment?

Not unless you choose. SocioProphet deploys inside your private cloud or on-premise infrastructure, and models run locally by default. Hosted models are an option you switch on, not a condition of use. We never see your data, and we never train on it.

Can I use my existing AI tools with SocioProphet?

Yes. Noetica integrates Claude, GPT, Gemini, Meta, Mistral, and Perplexity out of the box.

What happens to my data if I stop using SocioProphet?

Export your entire knowledge graph at any time, in standard formats. No lock-in.

How is this different from an AI governance platform?

SocioProphet is not a dashboard bolted onto someone else's platform. It makes governance part of the execution layer, so every action produces structural evidence and the knowledge that accumulates remains yours.

Is my AI-generated institutional knowledge really an asset, not just a risk to manage?

Yes — that's a deliberate reframe. The durable competitive moat isn't the foundation model everyone has access to; it's your organisation's own compounding, governed, sovereign knowledge.

What regulations does SocioProphet help with?

SR 26-2 (US banking), APRA CPS 230 (Australia), EU AI Act, FCA (UK), MAS (Singapore). We provide structural support for the evidence and control obligations — you bring your regulatory interpretation.

What is Prophet Mesh?

Prophet Mesh is Model Choir plus Model Conductor — a curated ensemble of open-weight models running on your own hardware, with a conductor that routes each task to the right model and combines results. It ships as part of Noetica, not as a separate purchase.

Why not just use one good model?

Because 'one good model' is exactly what any competitor can also wrap. Prophet Mesh's multi-model routing is the reason SocioProphet can't be replicated by adding a feature to an existing chatbot — it's an architectural difference, not a configuration choice.

From the field

The problems our buyers describe

Our portfolio managers use ungoverned tools — and ASIC is asking us to replay the reasoning.
Chief Risk Officer, Asset Manager
Our clinical AI infers things it was never told — and we can’t show a regulator the difference.
Head of Data, Healthcare Provider

Want to verify what you are building?

Request the whitepaper and a technical briefing. We will give your engineers the detail they need to inspect the architecture and its evidence.

Request the Whitepaper