Art. 50 applies now · Annex III 2 Dec 2027

AI decisions your board can defend. With the evidence attached.

Quantamix sells TraceGov.ai, a hosted evidence platform run from AWS Frankfurt that records, for every AI output, the policy, data, model version and approval behind it, and a fixed-scope two-week engagement that puts it under one of your AI systems. You keep the records. Every record can be checked by someone who was never in the room.

Diagram of one AI decision whose policy, data, model version, approval and outcome are hashed into a Merkle root, signed, anchored to a public log and checked by a third-party verifier.

One AI decision with its policy, data, model version, approval and outcome hashed into a Merkle root, signed, anchored, and checked by a verifier with no access to the infrastructure.

Source: Record design: GraQle loop article, section 7. Hashes illustrative.

The system in six pictures

What we build, drawn from the code and the papers

  • Diagram of one AI decision whose evidence is hashed into a Merkle root, signed, anchored and checked by a verifier.

    The record

    One decision with its evidence hashed, signed, anchored and checkable by an outsider.

  • Diagram of four products and three services connected through one knowledge graph.

    The suite

    Four products, three services, one knowledge graph.

  • Diagram of seven gates in a column, one marked FAIL, with the outcome REJECT.

    The gates

    Seven hard gates; a single FAIL stops the action.

  • Diagram of a five-step loop above a project graph of 146 nodes.

    The loop

    ANCHOR to COMMIT, run through a real 146-node project graph.

  • Network diagram of seven papers and a board report linked by shared concepts.

    The argument

    Seven papers and a board report as one argument, every DOI shown.

  • Network diagram of market signals linked to theses and proposed capabilities.

    How we read the market

    56 signals, 24 theses, 9 proposed capabilities.

See the full architecture →

Products

The governance suite

Four products on one knowledge graph: scoring, reasoning, retrieval and adoption, each with its own record of why it answered the way it did.

TraceGov.ai logo

TraceGov.ai

EU AI Act alignment scored across the five TRACE dimensions

Hosted platform, AWS Frankfurt (eu-central-1)

  • Graph-based retrieval over the regulatory text
  • Patent application EP26162901.8 (pending)
  • Cryptographic audit trail, 7 year retention
G

GraQle

The intelligence engine

SDK on PyPI, v0.85.0, source-available, 13 model backends

  • Multi-agent cross-verification
  • Zero LLM calls at retrieval
  • Source-available: 2,009 tests
T

TAMR+

Trust-aware multi-signal document retrieval

TAMR+ Lite on PyPI (Apache 2.0); working paper on SSRN and Zenodo

  • Patent application EP26162901.8 (pending)
  • TAMR+ Lite: standalone Python package on PyPI, Apache 2.0
  • Working paper on SSRN and Zenodo
FrictionMelt logo

FrictionMelt

AI friction intelligence

Diagnostic framework: 95 friction points across 8 layers

  • 95 friction points across 8 layers
  • Compound failure trigger identification
  • Prioritised by business impact

Services

Three ways to start

Each one tells you what you get, how long it takes and how it is priced before you commit to anything.

Free AI Quick Scan

What you get
30 governance questions across AI inventory, EU AI Act and GDPR. An instant maturity score and risk flags, readable at board level.
How long
15 to 30 minutes
How it is priced
Free. No sign-up.

Diagnostic briefing

What you get
Your use case and your regulatory exposure, worked through in nine structured steps. No sales deck. You bring one AI decision; you leave with its evidence chain and a 90-day roadmap.
How long
45 minutes
How it is priced
Free. No commitment.

Two-week proof of concept

What you get
One AI system of yours. A full TRACE score report at the end, with the six-hour board report, so the gap is shown in a form your board can read. A redacted sample of both reports is available on request.
How long
Two weeks
How it is priced
Fixed scope, priced after the briefing.

Case study

Philips Personal Health

Content for 500+ SKUs, produced on CrawlQ with brand rules checked before publication. The numbers below are the ones Philips verified.

Philips

Philips Personal Health

Healthcare technology

“CrawlQ's AI platform shifted my perspective on what AI can offer at enterprise level.”
Richard Taylor
Strategic Copywriter, Philips Personal Health
75%
Faster content cycles
20 hours down to 5 per product line
95%
Brand compliance
in generated content
500+
SKUs supported
in the programme
€500K
Saved in year one
verified

Founder

Built by someone who has had to defend the numbers

Harish Kumar, founder of Quantamix Solutions B.V.

Harish Kumar

Founder, Quantamix Solutions B.V.

Harish brings 22 years across quantitative risk and AI in regulated industries, most of them spent producing numbers that a regulator or an auditor would later check. That record is behind the three European patent applications pending on the retrieval and reasoning methods inside the governance suite.

Bring one AI decision. Leave with its evidence chain.

Pick a decision your organisation already makes with AI and we will show you, step by step, what a regulator could ask for and what you could hand over today.

No sales deck. 45 minutes. Free. You leave with the evidence chain for one decision.