Book your diagnostic demo
briefing
45 minutes. Your use case. Your regulatory exposure.
Walk away with a custom 90-day roadmap for traceable AI, at no cost.
Structured for boards, CCOs and heads of AI governance. Not a generic product tour.
Nine steps, each with a concrete deliverable you keep regardless of next steps.
No credit card. No sales pressure. No generic deck.
Book a slotThe questions your board is already asking
Every AI-driven decision your organisation makes is one audit request away from either validating your credibility or exposing your liability. The question is not whether scrutiny arrives. It is whether your outputs are structurally prepared to answer it.
Which data did it use?
Sources, versions and access rights at the moment of output, not reconstructed later.
How did it reach that answer?
The reasoning path from input to recommendation, captured at generation.
Who was accountable?
Articles 14 and 26 of the EU AI Act ask who oversaw the decision, not only what happened.
Can we show this to the regulator?
A structured provenance package that survives an external review.
What would it cost us if we could not?
Remediation, legal exposure and board time, in your numbers, during step 7.
How soon can we answer the next one?
Minutes from a record kept at output time, instead of weeks of reconstruction.
The TRACE protocol
Every Quantamix output records five architectural properties at the moment it is produced, by default rather than on demand. TRACE is not a feature set. It is the load-bearing architecture.
Every output discloses its data sources, process and confidence parameters before anyone asks.
The reasoning chain from input to recommendation is captured at generation, never reconstructed afterward.
Documentation generated in parallel with every output: present at creation, not triggered by an audit.
EU AI Act Article 6, FCA and ECB guidance and DORA requirements mapped at output creation, not post-hoc.
Every output explainable to boards, regulators and legal counsel without engineering involvement.
Nine steps in 45 minutes, one custom roadmap
Every step is structured. Every step delivers a standalone deliverable. Click each step to see exactly what you will walk away with.
We map your current AI output inventory against a structured provenance checklist. Which outputs cannot be traced? Which cannot be defended in a regulatory review? Which would struggle in an FCA, ECB or EU AI Act review today? You leave with a precise gap map: a structural diagnosis, not a vendor opinion.
Provenance gap map of your current AI output portfolio
Most AI output inventories cannot say, for a given recommendation, which data it drew on and which model version produced it. The gap map shows where that is true for you.
Harish Kumar, Founder & CEO · Responding within 24 hours
The financial case, in your numbers
The ROI case for Quantamix rests on risk elimination and credibility, not on efficiency gains. We build it live in step 7 from four inputs you bring. We do not publish benchmark figures we cannot source.
Your current compliance labour cost per AI product line
Your AI output volume and the share that reaches a regulated decision
Your active regulatory obligations and the penalty tier each system sits in
Your regulated-sector revenue base and RFP pipeline
Most organisations book directly. Some want to explore the full architecture first.
See the full interactive walkthrough
10 sections covering TRACE, TAMR+ and GraQle in depth, with live scoring visualisations and the architecture of the pending patent applications. Ideal for technical due diligence and board preparation.
- ✓ TRACE score visualisation
- ✓ TAMR+ retrieval design, from the working paper
- ✓ 3 pending patent applications · 7 working papers
- ✓ Live product demos
Book your diagnostic briefing
A 45-minute TRACE-grounded diagnostic of your AI estate, delivered live and written up on one page. Designed for CCOs, heads of AI governance, CFOs and board-level AI sponsors.
- ✓ Custom 90-day roadmap delivered at session end
- ✓ Regulatory exposure map for your stack
- ✓ No commitment · 45 minutes
- ✓ Next available: this week
Quantamix Solutions B.V. · Uithoorn, Netherlands
support@quantamixsolutions.com
FAQ
Common questions
The questions enterprises ask before putting an evidence layer under their AI, from integration to board approval.
INTEGRATIONDo we need to replace our existing AI systems (Microsoft Copilot, AWS Bedrock, Google Vertex AI)?
No. TRACE is a middleware layer that sits between your existing AI platform and your outputs. Your systems continue running as today. TRACE intercepts outputs, wraps them with the evidence layer, generates the audit trail and returns the result with its audit record. Three integration patterns: (1) API gateway: route AI outputs through the TRACE endpoint, no code changes to your existing system. (2) SDK wrapper: 3 lines of code around your existing LLM client. (3) Async audit pipeline: your AI runs normally and TRACE processes outputs asynchronously. Timing for each pattern is in the deadline question below. No vendor lock-in. Works with any AI system that produces text output.
Plug-and-play
MYTHWe already have Microsoft, AWS or Google compliance tools. Aren't we covered?
Not for the EU AI Act. Hyperscalers provide infrastructure compliance: SOC 2, ISO 27001, GDPR data processing agreements. They do not produce EU AI Act evidence for your use of their models. Microsoft Responsible AI Toolkit is a framework, not a conformity system. AWS AI compliance covers data security. Google Vertex AI has no EU AI Act conformity output. None of them produce Article 12 records, Article 17 quality management evidence, conformity assessment documentation or a TRACE score. TRACE fills the gap every hyperscaler leaves open, because it is a regulatory problem, not an infrastructure problem.
Myth busted
MYTHOur AI system is low-risk. The EU AI Act doesn't apply to us.
Not necessarily. Annex III lists the high-risk use cases, among them creditworthiness assessment and access to essential services, employment and worker management, education, and certain uses in law enforcement and public services. Fraud detection may fall under Annex III (creditworthiness, essential services), subject to the Article 6 exceptions; classification is case by case. If you use Copilot, Bedrock or any LLM for an Annex III use case, you need a documented classification. Annex III conformity assessment obligations apply from 2 December 2027 (Regulation (EU) 2026/1744, Digital Omnibus on AI, in force 27 July 2026). GPAI obligations have applied since August 2025 and Article 50 transparency obligations since 2 August 2026.
Case-by-case classification
DATAWhat about data sovereignty and GDPR? We cannot send data to a third party.
TRACE runs in AWS eu-central-1 (Frankfurt). Customer data is stored and processed in the EU and no customer data is transferred to US regions. TRACE processes AI outputs, the text responses from your AI system, rather than the source data that produced them. GDPR rights can apply to outputs that contain personal data; TRACE records support those requests rather than replace them. We provide a Data Processing Agreement (Article 28 GDPR), EU Standard Contractual Clauses, explicit data residency commitments and a right-to-audit clause. For organisations with sovereign cloud requirements, we also support deployment into your own AWS EU account.
EU data residency
PROCESSWe need board approval. This will take months internally.
TRACE produces a board-ready TRACE score report showing your current gap across the five TRACE properties, the penalty tier that applies to each system in your AI inventory, and the remediation case. The report makes the risk concrete and boardroom-legible, which is what shortens approval cycles. Before any signature, the 45-minute diagnostic briefing is free and gives you the evidence chain for one AI decision and a 90-day roadmap to take into the board meeting. You walk in with a quantified risk assessment rather than an abstract regulatory summary.
Board-ready report
TIMELINEHow long until we have the evidence in place? We have a deadline.
First exported evidence record: 14 business days from signature. Integration itself takes 2 days to 2 weeks depending on the pattern; the six-hour board report is produced from the first export. Weeks 1 to 2: discovery and TRACE baseline. We inventory your AI systems, classify risk and run the first TRACE score. Weeks 3 to 6: TAMR+ integration. Regulatory corpus ingested, multi-agent reasoning live, first benchmark validated. Weeks 7 to 10: GraQle live. Real-time gap detection active, knowledge graph populated, audit trail running. Weeks 11 to 13: evidence pack ready. Documentation designed to support an ISO 42001 audit and an EU AI Act conformity assessment, board presentation prepared. Whether you are compliant, and any certification, is decided by your own assessment, your auditors or a notified body, not by TRACE. GPAI obligations (in force since August 2025) are addressed in weeks 1 to 2.
14 business days to first record
COSTWe cannot afford this right now. Budget is frozen.
Penalties under the EU AI Act go up to €35M or 7% of global turnover, the Act's highest tier, which applies to prohibited practices. Most other obligations carry a lower tier, up to €15M or 3% (Article 99(4)). The budget question is therefore which tier your systems sit in and what the evidence pack would cost to assemble by hand. We start with a no-cost diagnostic briefing so you can put a number on both before any spend.
No-cost diagnostic first
AUDITWhat actually happens during a real EU AI Act audit? What will regulators ask for?
Regulators request five things: (1) evidence that your AI systems were correctly classified under Article 6; (2) logs of AI decisions with human oversight records per Articles 12 to 14; (3) a conformity assessment or technical documentation showing the system meets the Act's requirements; (4) a quality management system showing ongoing monitoring, as required by Article 17; (5) post-market surveillance data. Assembling this by hand after the fact is slow and usually surfaces gaps. With TRACE the evidence pack exports from records kept at the time of each decision. The TRACE score is an internal indicator of where the gaps are; whether you pass an audit is for the auditor or the authority to decide.
Evidence pack on demand
TEAMWe already have a legal and compliance team. Why do we need TRACE?
The EU AI Act has already generated many guidance updates, national measures and GPAI Code of Practice iterations since it entered into force. TRACE does not replace your compliance team. It automates evidence collection, gap detection and report generation so the team can spend its time on judgment calls, stakeholder management and remediation decisions. TRACE handles the evidence chain, the regulatory mapping and the audit trail that would otherwise consume weeks of their time.
Supports the team
GRCWe already run OneTrust, ServiceNow GRC or Vanta. Why TRACE?
They hold your controls and attestations. TRACE produces the decision-time records those controls point to: the data, model version, approval and hash behind each AI output. The records export into your existing inventory; nothing is replaced.
Records, not controls
POCCan we start with a proof of concept before committing?
Yes, and we recommend it. Standard POC: 2 weeks, one AI system, full TRACE score report delivered at the end. You see where your gaps are across the five TRACE properties and what the remediation roadmap looks like. No commitment required after the POC. The report shows the gap in a board-legible, deadline-mapped format, which is usually enough evidence to secure budget approval internally.
2-week no-commitment POC
Still have a question? Book a diagnostic briefing and we will answer it for your stack.
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