EU AI Act enforcement in 132 days|Book your assessment

Your data has a shape.Most tools can’t see it.Quantamix can.

One framework. Two research engines. Three pillars. Every output traceable, auditable, defensible.

TRACETAMR+GraQleKnowledgeGraphContentComplianceAdoption
See the architecture

Built in the EU · Patent EP26162901.8 · Open-source on PyPI · Data stays in Frankfurt

Saved at Philips
verified, year one
Faster Content Cycles
20 hours down to 5
Regulation Accuracy
vs. standard AI retrieval
Tests Passing
GraQle SDK v0.29
PhilipsING BankRabobankAmazon RingDeutsche Bank
TRACETAMR+GraQleKnowledgeGraphContentComplianceAdoption
€35M

Average GDPR fine

GDPR Enforcement Tracker, 2024

85%

AI projects never reach production

Gartner Predicts, 2024

73%

Organizations failing audit readiness

A-LIGN/ISACA, 2025

The Diagnostic

Five dimensions. One trust score.

TRACE scores every AI decision on Transparency, Reasoning, Auditability, Compliance, and Explainability — so you know exactly how much to trust it.

TRACESCANNING...TTransparencyDecisions made visibleRReasoningLogic you can traceAAuditabilityProof that survivesCComplianceRegulation-ready alwaysEExplainabilityAI anyone understands

Three challenges. One connected approach.

01

Content at scale. Brand intact.

Enterprise teams manage 500K+ assets. Knowledge workers lose 60% of time to process overhead.

Philips: 20 hours → 5 hours per product line. 95% brand compliance. €500K saved year one.

Forrester TEI, 2023; Adobe State of Work, 2023

TRACE dimensions
TransparencyAuditability
Solved by
CrawlQ.aiStudio CrawlQ.aiCopyNexus.io
02

Compliance you can prove.

EU AI Act enforcement begins August 2026. 3–6 months needed for conformity assessment.

2x accuracy vs. standard AI on regulatory questions. Patent-protected. Cryptographic proof trail.

Official Journal of the EU, 2024; SSRN 6359818

TRACE dimensions
TransparencyReasoningAuditabilityComplianceExplainability
Solved by
TraceGov.aiGraqle
03

AI pilots that actually ship.

85% of AI initiatives never reach production. The barriers are organizational, not technical.

95 friction points mapped across 8 layers. Compound failure triggers identified. Diagnostic-first.

Gartner Predicts, 2024; McKinsey State of AI, 2024

TRACE dimensions
ReasoningCompliance
Solved by
FrictionMelt
All six products share one Knowledge Graph — when one learns, all benefit.
TRACETAMR+GraQleKnowledgeGraphContentComplianceAdoption
Architecture

Three problems. One intelligence layer.

Content, compliance, and AI adoption — connected by a graph reasoning engine that sits between your AI models and your business decisions. EU-resident. Patent-protected. Model-agnostic.

CONTENTKnowledge that answers questionsCrawlQ.ai · Studio CrawlQ.ai · CopyNexus.io75% faster · €500K saved at PhilipsCOMPLIANCEDecisions that survive an auditTraceGov.ai · GraQle · TRACE Scoring2x accuracy · 99.7% governanceADOPTIONAdoption that's measurableFrictionMelt · Friction Intelligence95 friction points · 8 org layersGraph Intelligence LayerModel-agnostic · EU-first · Patent-protectedKGTAMR+ · GraQle · TRACEANY AI MODELOpenAI · Claude · Llama · Bedrock · On-Premise
EVERY OUTPUT IS SCORED ACROSS 5 DIMENSIONS
T
Transparency
R
Reasoning
A
Auditability
C
Compliance
E
Explainability
🇪🇺EU-Built & Headquartered
📋Patent EP26162901.8
🔒AWS Frankfurt (eu-central-1)
📦Open-Source SDK on PyPI
TRACETAMR+GraQleKnowledgeGraphContentComplianceAdoption
The Platform

One platform. Three pillars.

Intelligence, execution, and governance — connected on a shared Knowledge Graph. When one product learns, all benefit.

1

Intelligence

The data foundation

You don't know your audience. You think you do.

CrawlQ.ai logo

CrawlQ.ai

The World's First Content ERP

Philips cut 20 hours to 5 per product line, saved €500K in year one. CrawlQ turns scattered content into managed capital with 140+ psychographic factors and full audit trail.

  • 75% faster content cycles (Philips, verified)
  • 2,800+ users including Fortune 500
  • 95% brand compliance at scale

2,800+ users | 4.4★ Capterra

Explore CrawlQ.ai

Your data knows the answer. Your tools don't.

GraQle

The Intelligence Engine

The Knowledge Graph connecting all six products. Multiple AI agents cross-check each other — 99.7% accuracy on governance questions. Open-source SDK on PyPI.

  • Multi-agent verification — 99.7% accuracy
  • 50-800x lower cost than competitors
  • Open-source: 2,009 tests, 201 skills
Explore GraQle
2

Execution

The action layer

Great products fail with bad copy. Great copy fails without brand voice.

CopyNexus.io

AI Copywriting at Scale

Enterprise copy automation born from real production at Amazon Ring. Thousands of brand-consistent descriptions, social posts, and listings in minutes.

  • Battle-tested at Amazon Ring
  • Multi-channel: web, social, marketplace
  • Connected to CrawlQ audience intelligence
Coming Soon — Get Early Access

The best software in the world fails for one reason. People stop using it.

FrictionMelt logo

FrictionMelt

AI Friction Intelligence

Your AI pilots work. Enterprise rollout stalls. FrictionMelt diagnoses exactly why: 95 friction points across 8 organizational layers with compound failure analysis.

  • 95 friction points across 8 layers
  • Compound failure trigger identification
  • Prioritized by business impact
Explore FrictionMelt
3

Governance

The trust layer

Every decision your organization makes — can it survive an audit tomorrow?

TraceGov.ai logo

TraceGov.ai

AI Compliance You Can Prove

Know your exact EU AI Act compliance score today. Scores across 5 TRACE dimensions (Transparency, Reasoning, Auditability, Compliance, Explainability) with 2x the accuracy of standard AI.

  • 2x more accurate on regulatory questions
  • Patent-protected (EP26162901.8)
  • Cryptographic audit trail — 7 year retention
Explore TraceGov.ai

Your brand is being misrepresented right now. You just can't see it yet.

Studio CrawlQ.ai logo

Studio CrawlQ.ai

Brand Intelligence Platform

Quantified Brand Trust Score, automatic deviation detection before publication, and AI-generated brand-compliant campaigns. Connected via shared Knowledge Graph.

  • Real-time Brand Trust Score
  • Deviation detection before publication
  • Shared Knowledge Graph with CrawlQ.ai
Explore Studio CrawlQ.ai
TRACETAMR+GraQleKnowledgeGraphContentComplianceAdoption
The Intelligence Engine

GraQle turns codebases into reasoning networks

One knowledge graph. Multiple AI agents that cross-verify each other. Every answer comes with a confidence score and an audit trail. Open-source SDK on PyPI.

Before GraQle: 60 scattered files, 50,000 tokens, 2 minutes. After GraQle: Knowledge graph with 8 agents, 500 tokens, 5.2 seconds, 92% confidence.

Turn any codebase into a reasoning network

Graph-of-agents architecture. Each node becomes an AI agent. They cross-verify before answering.

500tokens

vs 50,000 — 100x cheaper per query

5.2sec

Average reasoning time (was 2 min)

92%

Confidence scoring on every answer

Impact analysis before any code change
Cross-project dependency tracing
Automated knowledge graph from git history
Real stories from production
100xcost reduction
Before

Reading 60 files. 50,000 tokens. 2 minutes. "I think auth is used by..."

After

8 agents activated. 500 tokens. 5.2 seconds. 92% confidence. 11 modules mapped.

GraQle turned a 2-minute guessing exercise into a 5-second verified answer — 100x cheaper, 24x faster.

2,900%info density gain
Before

Neptune had embeddings stored from TAMR+ — but nobody was calling them at retrieval time.

After

Graqle's audit caught what 200+ commits missed. 2,900% more information, same token budget.

The infrastructure existed. The wiring didn't. GraQle found the gap in 0.2 seconds.

1,045issues found
Before

Website passed manual QA. Google Lighthouse showed green. Team approved for launch.

After

SCORCH found 807 jargon terms, 218 ghost elements, and a CTA with 3.68 contrast ratio.

You can't audit what you can't see. GraQle saw 1,045 friction points in 90 seconds.

Trusted by enterprise teams worldwide
PhilipsHealthcare
Amazon RingConsumer Tech
ING BankBanking
RabobankBanking
ASN BankBanking
EYAdvisory
Deutsche BankBanking
Reserve Bank of IndiaCentral Bank
TRACETAMR+GraQleKnowledgeGraphContentComplianceAdoption
The Engine

TAMR+

Trust-Aware Multi-Signal Document Retrieval

Patent-protected retrieval that understands the structure of regulations — articles, recitals, cross-references — not just keywords.

TAMR+Trust-Aware RetrievalEP26162901.8+76.6%Over vector-only RAG207msRetrieval latency$0.03Per workspace0LLM calls at retrievalRETRIEVALTAMR+Trust-aware multi-signal searchREASONINGGraQleGraph-of-agents cross-checkingPROOFTRACECryptographic audit trail
2x
More accurate
vs standard AI retrieval
<1s
Response time
competitors: 13+ seconds
99.7%
Governance accuracy
MultiGov-30 benchmark
50-800x
Lower cost
pennies per query

250 benchmark questions · 4 regulatory domains · Published: SSRN 6359818, Zenodo 18929634

Tested across 4 regulatory domains

100
EU AI Act
AI Regulation
50
Medical Devices
Healthcare
50
Financial Regulation
Banking
50
Criminal Networks
Law Enforcement

What this means for your organization

For the Board

Patent-protected IP means your investment is in original technology, not a wrapper. Published benchmarks mean every claim is independently verifiable.

For Compliance

Every AI output has a complete proof trail. When an auditor asks how a decision was reached, the system shows them — article by article. 7-year cryptographic retention.

For IT / Security

Works with any AI model — on-premise, cloud, or hybrid. No vendor lock-in. Full data sovereignty. EU-built, EU-headquartered.

Open source. Verifiable. On PyPI.

Apache 2.0v0.29 · Production/Stable

GraQle SDK

Graph-of-agents reasoning engine. 2,009 tests, 201 skills, 14 LLM backends.

Apache 2.0Standalone Python package

TAMR+ Lite

Trust-aware multi-signal document retrieval. The engine behind TraceGov.ai.

TRACETAMR+GraQleKnowledgeGraphContentComplianceAdoption
Security & Compliance

EU-first. Sovereign by design.

Your data never leaves Frankfurt. No US data transfer. No CLOUD Act exposure. Built by a European company for European institutions.

Full security documentation: tracegov.ai/security

Data Residency

AWS Frankfurt (eu-central-1) exclusively

Zero US data transfer. Zero CLOUD Act exposure.

Encryption at Rest

AES-256 via AWS KMS

14 DynamoDB tables + Neo4j Knowledge Graph, all encrypted.

Encryption in Transit

TLS 1.3 enforced

All data in motion protected with latest transport layer security.

Merkle-Chain Audit Trail

SHA-256 hash-verified records

Cryptographic linking between records. 7 years retention.

Regulatory Compliance

6 frameworks. Real status. No marketing fluff.

GDPRCompliant

Articles 5, 25, 28, 32, 35, 44-49

Data protection by design. Lawful processing. No cross-border transfer outside EU.

EU AI ActReady

Articles 9, 12, 13, 14, 26

Risk management, record-keeping, transparency, human oversight, and deployer obligations.

SOC 2 Type IIIn Progress

Security, availability, and confidentiality controls under independent audit.

ISO 27001Aligned

Information security management system aligned with international standards.

NIS2 DirectiveAligned

Network and information security measures for essential and important entities.

DORAAligned

Digital operational resilience for financial sector ICT risk management.

Access Control

Role-Based Access Control

Granular permissions per workspace, per user, per action.

Multi-Factor Authentication

MFA enforced for all accounts. No exceptions.

Least-Privilege IAM

Every Lambda, every service, every role — minimum permissions only.

Transparency & AI Ethics

No Foundation Model Training

Your prompts and responses are never used to train foundation models. Your regulatory data stays yours.

Honest Benchmarks

We publish our real TRACE scores -- 60-67%, not >90%. Regulatory AI is hard. We measure honestly and improve transparently.

EU-First

Quantamix Solutions is an EU-based company building sovereign AI infrastructure. Data residency, compliance, and transparency are not features -- they are foundations.

Enterprise-Grade AWS Infrastructure

Full stack deployed in AWS Frankfurt (eu-central-1)

Compute & Delivery

  • AWS Lambda — serverless, auto-scaling
  • AWS Amplify — frontend + CI/CD
  • CloudFront CDN — TLS 1.3 enforced
  • Route 53 — DNSSEC-ready DNS
  • WAF — DDoS protection, rate limiting

AI & Data

  • AWS Bedrock — EU inference profiles only
  • DynamoDB — 14 tables, AES-256 encrypted
  • Neo4j — knowledge graph, encrypted
  • S3 — document storage, encrypted
  • TRACE + CERI engines — custom AI scoring

Identity & Monitoring

  • AWS Cognito — MFA, JWT, token rotation
  • IAM — least-privilege, role-based
  • CloudWatch — real-time monitoring
  • Automated anomaly alerting
  • Stripe — PCI DSS Level 1, EU processing

Data Flow — Everything Stays in Frankfurt

Client Browser→ TLS 1.3 →CloudFront CDNAmplify + LambdaBedrock AIDynamoDB + Neo4j

All services configured to eu-central-1 via IAM policies, VPC config, and service endpoints.

Incident Response SLA

Minutes
Detection (automated)
<1 hour
Acknowledgment
<4 hours
Containment
<24 hours
Customer notification

Secure Development Practices

  • Infrastructure as Code (AWS CDK/CloudFormation)
  • Automated dependency vulnerability scanning
  • Code review required for all production changes
  • Separate staging and production environments
  • Zero third-party data sharing

Responsible Disclosure

Security researchers can report vulnerabilities via security@tracegov.ai.

24hAcknowledgment
72hFirst update on resolution

Full security documentation and Data Processing Agreements available for enterprise customers upon request.

0
US Data Transfers
14
Encrypted DynamoDB Tables
7 yr
Audit Trail Retention
6
Compliance Frameworks
Consulting & Expertise

18 Years of Enterprise AI Implementation Experience

Hands-on delivery at Philips (€500K saved), Rabobank (400B+ EUR portfolio), and ING (500+ employees trained on AI). Here is how we can support your team.

Digital Asset Management & GenAI

Where content becomes a capital asset

We integrate DAM systems (Bynder, Aprimo, Sprinklr) with generative AI to transform how enterprises manage digital portfolios. AI-driven taxonomy, metadata enrichment, smart asset naming, and seamless cross-platform workflows that produced measurable results at Philips and Amazon Ring.

Dynamic AI-driven taxonomy structures
Automated metadata enrichment
Smart asset naming with hidden attribute search
Bynder, Aprimo, Sprinklr integration
Data migration and adoption training
ASIN and marketplace integration
Sprinklr DAM Brand Manager ProExpert Brand ManagerMarket Research Analyst Pro
€500K
Annual savings at Philips
80-99%
Metadata accuracy improvement
35%
Production cycle reduction
Delivered at
PhilipsAmazon Ring

Enterprise AI Enablement

From boardroom strategy to production deployment

We design and deploy AI platforms inside regulated enterprises. Azure OpenAI rollouts, MS Copilot Studio integration, prompt engineering frameworks, AI governance policies. At ING, we achieved 65% training completion. At Philips, we built a 200+ member GenAI Champions community.

Azure OpenAI Service deployment
MS Copilot Studio integration
Prompt engineering frameworks
AI governance policy co-authoring
3-tier risk framework for AI use cases
Role-based AI training curriculum
Azure Solutions Architect ExpertGoogle Cloud Prof Data Engineer
200+
GenAI Champions at Philips
500+
Employees trained on AI workflows
30+
Copilot agents deployed
Delivered at
ING BankPhilipsASN Bank

Regulatory Compliance & AI Governance

Make compliance provable, not just claimed

Deep domain expertise in financial regulation (Basel III/IV, IFRS9, BCBS239) and AI governance (EU AI Act, GDPR). We managed a 400B+ EUR loan portfolio at Rabobank, led ECB validation finding remediation, and reduced manual effort by 60% through automation.

EU AI Act readiness assessment
Basel III/IV regulatory compliance
IFRS9 calculation engine architecture
ECB and DNB regulatory coordination
Python-based validation notebooks
OKR frameworks and Power BI dashboards
Financial Risk Manager (FRM)PMP
400B+ EUR
Loan portfolio at Rabobank
60%
Manual effort reduction
25%
Operational cost reduction
Delivered at
RabobankEYING BankASN Bank

Generative Change & Leadership

Transform mindsets, not just systems

Technology change requires people change. Certified in Robert Dilts' Generative Change methodology with professional Mindset Map coaching credentials. We bring NLP-rooted transformation frameworks to enterprise AI adoption.

Generative Change methodology
Professional Mindset Map coaching
NLP for enterprise transformation
Success Factor Modeling of top performers
AI adoption change management
Executive mindset development
Generative Change CertifiedProfessional Team Leadership & Mindset CoachNLP Expert
NLP
Expert-level practitioner
Robert Dilts
Generative Change certified
SFM
Success Factor Modeling

Strategic Partnerships

Collaborating with global technology leaders to deliver enterprise-grade AI solutions

IntelFeatured Partner

Accelerating Enterprise AI Adoption Together

A strategic partnership combining Intel AI PC hardware capabilities with CrawlQ Two-Way RAG technology to deliver on-device enterprise AI at scale.

  • --Joint acceleration of enterprise AI adoption
  • --Intel AI PC ecosystem integrated with CrawlQ Two-Way RAG
  • --Core Ultra processors delivering 48 TOPS AI performance
  • --100M+ AI PCs target across the ecosystem
10x
Conversions
60%
Cloud cost reduction
75%
Faster content cycles
Learn more about the Intel partnership

Technology Partners

AWSPrimary cloud infrastructure
Google CloudMulti-cloud AI services
AnthropicClaude foundation models
OpenAIGPT foundation models
MetaLlama open-source models

Certifications and Coaching

Robert Dilts / IAGCGenerative Change

Certified partnership in Generative Change methodologies, bridging AI-driven brand strategy with human-centered coaching frameworks.

MindsetMap InternationalMindset Coaching

Partnership with Mickey Feher on MindsetMap coaching integration, enabling psychographic-informed brand collaboration strategies.

Founder

Built by someone who has sat in your chair

Strategic AI Advisor to Enterprise Leaders | Architecting GenAI Transformation & Adoption Roadmaps for Fortune 500 & Financial Institutions

Harish Kumar — Founder & CEO, Quantamix Solutions

Harish Kumar

Founder & CEO

Quantamix Solutions B.V.

Uithoorn, Netherlands
European Patent EP26162901.8
FRMPMPGCPAzureCSMGC

Over 20+ years, Harish has gone from the Reserve Bank of India to Amazon, Deutsche Bank to Philips — always sitting in the same chair as the people he now serves: enterprise leaders navigating AI transformation under real-world constraints. His technical depth spans LLM fine-tuning, Knowledge Graphs, SHACL/OWL ontologies, and end-to-end AWS deployment pipelines.

Enterprise Experience

Amazon2024-present

GenAI transformation for Ring marketing; managed 2,500+ digital assets, 50% efficiency boost.

Philips Personal Health2022-2025

Founded 200-member GenAI Champions Community, 500K EUR annual savings, 80-99% metadata accuracy.

ING2025

Led Google Cloud Migration — Trading Book Stress Testing to GCP using Looker and BigQuery.

Rabobank2018-2021

Product Owner IFRS9 Calculation Engine, managed 400B+ EUR loan portfolio.

Deutsche Bank2016-2017

FRTB and IRRBB Capital Calculations Workstream Lead.

ING Nederland2013-2015

Economic Capital Modeling, regulatory stress testing.

Reserve Bank of India2004-2010

Quantitative Risk Management.

Key Achievements

500K EUR
Annual savings at Philips through GenAI automation
400B+ EUR
Loan portfolio managed at Rabobank
500+
Enterprise employees trained on AI workflows
200+
GenAI Champions Community at Philips
Enterprise Proof
CrawlQ's AI platform shifted my perspective on what AI can offer at enterprise level.
Richard Taylor
Strategic Copywriter, Philips Personal Health

20h→5h per product line · 500+ SKUs · 60% cost reduction

Philips

Philips Personal Health

Fortune 500 — Healthcare Technology

75%
Faster content cycles
95%
Brand compliance
500+
SKUs supported
€500K
Saved in year one
Other tools tell us what audience searches for; CrawlQ tells us what it wants. When we know what it wants, we can write content accordingly.
Zohaib Salman
Writer, Punjab Bar Council
Its market research is even more in depth than a professional market research audit.
Valor L.
Digital Strategist
425%
Average ROCC returns
83%
Average first-year ROI
2,800+
Users across 40+ countries
148+
Verified reviews
4.4/5on Capterra(45)
4.5/5on AppSumo(101)
5.0/5on Trustpilot(2)
TRACETAMR+GraQleKnowledgeGraphContentComplianceAdoption
EU AI Act — Regulation (EU) 2024/1689

The EU AI Act is not
a future concern.

00
Days
:
00
Hours
:
00
Minutes

Until EU AI Act enforcement for high-risk systems — August 2, 2026

Non-compliance penalties: up to €35M or 7% of global annual revenue

Risk Classification

Determine if your AI systems qualify as high-risk under EU AI Act Article 6.

Documentation & Transparency

Article 13 requires clear documentation so deployers can interpret AI outputs appropriately.

Audit Trail & Oversight

Articles 9 & 14 require risk management systems and human oversight throughout the AI lifecycle.

Start your compliance assessment

Get a free EU AI Act readiness report for your organization. A 30-minute assessment gives you a clear picture of where you stand.

EU-built. EU-headquartered. Your data stays in Frankfurt (eu-central-1). No vendor lock-in.

Contact

Let's Talk About What You're Building

Whether you're evaluating AI compliance tools, planning an enterprise AI rollout, or navigating the EU AI Act — we are happy to help.

We respond within 24 hours. No obligations, no sales pressure.

Company

Quantamix Solutions B.V.

KVK: 73625183

Buitendijks 2, 1422MM

Uithoorn, Netherlands