AI Products You Can
Defend to Your Board
We build AI-powered platforms for enterprises where every output is traceable, every decision is auditable, and every result withstands regulatory scrutiny.
Healthcare
Consumer Tech
Banking
Banking
BankingSix platforms. One mission.
Every product we build starts with the same question: can you defend this to your board?
CrawlQ.ai
The World's First Content ERP
Two-Way RAG with immutable audit trails, driven by the Athena Engine (140+ psychographic factors). Intel partnership enables on-premise LLM deployment for full data sovereignty.
- Athena Engine -- 140+ psychographic factors
- Two-Way RAG with immutable audit trails
- Intel partnership for on-premise LLM deployment
- Philips: 75% reduction in content creation time, 95% brand compliance
2,800+ users | Fortune 500 clients
Visit CrawlQ.ai
Studio CrawlQ.ai
Brand Intelligence Platform
Knowledge graph-driven brand governance with SHACL compliance scoring. Build, measure, and defend your brand identity across every touchpoint with AI-generated mission briefs.
- CogniGraph knowledge graph + SHACL governance
- Brand Trust Score with quality gates
- KG-based brand compliance scoring
- AI-generated mission briefs and campaigns
FrictionMelt
AI Friction Intelligence
Maps, scores, and eliminates the 95 friction points that stall enterprise AI adoption. Cascade domino analysis reveals which barriers trigger compound failures -- before they spread.
- 95-friction taxonomy across 8 transformation layers
- Cascade domino analysis of friction effects
- Dual AI engine with 5-stage gateway pipeline
- Master Training & Certification system
TraceGov.ai
AI Compliance You Can Prove
EU AI Act compliance scored across 5 TRACE dimensions using our patented retrieval system. A Knowledge Graph with 31 OWL entity types maps your AI systems to specific regulatory requirements.
- TRACE 5-dimension compliance scoring
- Knowledge Graph with 31 OWL entity types
- 74% accuracy on EU-RegQA (vs 38.5% vector-only)
- European Patent EP26162901.8
CopyNexus.io
AI Copywriting at Scale
Enterprise-grade copy automation born from real production use at Amazon Ring. Built to handle thousands of SKUs with brand-consistent, multi-channel output.
- Built and battle-tested at Amazon Ring
- Enterprise-grade copy automation
- Brand voice consistency at scale
- Multi-channel output (web, social, marketplace)
Claude Code + CogniGraph
AI-Native Development Intelligence
Bring graph-governed reasoning directly into your development workflow. CogniGraph agents reason over your codebase knowledge graph while SHACL constraints enforce architectural governance — all from within Claude Code.
- CogniGraph reasoning embedded in Claude Code
- Codebase knowledge graph with architectural constraints
- SHACL-governed code generation and review
- Context-aware multi-agent development assistance
Three layers. One auditable stack.
Every product we ship is built on patented retrieval, distributed graph reasoning, and ontology-enforced governance. Not wrappers around foundation models -- original research with published benchmarks.
SHACL/OWL Governance
Ontology-level constraint enforcement. Every output validated before it leaves the system.
CogniGraph
Distributed multi-agent reasoning. Each KG node is an autonomous SLM agent.
TAMR+
Trust-aware multi-signal document retrieval. 3-stage pipeline with graph-based scoring.
TAMR+ retrieves → CogniGraph reasons → SHACL/OWL governs
Every output is traceable. Every reasoning step is auditable. Governance is enforced at the ontology level.
TAMR+ — Trust-Aware Multi-Signal Document Retrieval
Layer 1: Retrieval
European Patent Application filed 2026-03-06 with 18 claims (6 independent + 12 dependent). TAMR+ achieves 76.6% improvement over vector-only RAG (Lewis et al., NeurIPS 2020) with zero LLM calls during retrieval -- unlike GraphRAG (Edge et al., 2024) which requires 3-5 LLM calls per query. HashGNN training-free graph embeddings (inspired by Kipf & Welling, ICLR 2017) enable 207ms latency at $0.03/workspace. Benchmarked across 4 domains including EU Regulation 2024/1689 (AI Act).
6 INNOVATION MODULES
AUC-ROC 0.847 for predictive compliance gap detection. 5-category gap attribution -- unique among all RAG frameworks.
Component-by-component performance isolation. All results p < 0.001, Cohen's d up to 2.41 (statistical significance).
Training-free graph embeddings in 280 lines of NumPy. No GPU required. Locality-sensitive hashing for O(1) embedding lookup.
4 regulatory domains: EU AI Act, Medical Devices, Financial Regulation, Criminal Networks. 250 questions total.
Entity coverage improved from 63.6% to 84.1% via multi-step knowledge graph path traversal.
Article 51 audit-compliant persistence layer. Full retrieval provenance for regulatory traceability.
4 BENCHMARK SUITES — 250 QUESTIONS
CogniGraph — Graphs That Think
Layer 2: Reasoning · Graph-of-Agents distributed framework
Each knowledge graph node becomes an autonomous SLM reasoning agent. Constrained F1 improved +131% (0.328 to 0.757) with 99.7% Governance Accuracy on MultiGov-30 benchmark (30 multi-regulation EU governance questions across EU AI Act, GDPR, DORA, NIS2). Continuation-in-Part patent of EP26162901.8.
“Reasoning without governance is creativity at scale with compliance risk.”
-- CogniGraph thesis, proven on MultiGov-30
5 INNOVATIONS
Prize-Collecting Steiner Tree for sublinear cost scaling O(|V*| · R). Only activates relevant subgraph, not full KG.
Novel 3-layer governance validation: Framework Fidelity (100%), Scope Adherence (100%), Cross-Reference Integrity (98.3%). Replaced format-based SHACL which rejected 49% of correct responses.
Zero-cost transparency layer with full provenance tracking. Every reasoning step auditable without performance overhead.
Similarity-based early termination. Agents exchange structured messages until convergence -- outperforms single-agent on complex multi-framework scenarios (Tier C).
Multi-level answer synthesis from distributed agents. Constrained F1: +131% improvement (0.328 to 0.757) over baseline.
SHACL/OWL Governance
Layer 3: Governance · From the CogniGraph ontology
SemanticSHACLGate replaced format-based SHACL validation (which rejected 49% of correct responses) with semantic 3-layer validation achieving 99.7% governance accuracy on MultiGov-30. Built on W3C SHACL specification (Knublauch & Kontokostas, 2017) with a domain-agnostic OWL upper ontology that auto-generates hierarchy and constraints from regulation text.
SEMANTIC SHACL GATE — 3 VALIDATION LAYERS
Validates output against the specific regulatory framework (EU AI Act, GDPR, DORA, NIS2)
Ensures reasoning stays within the defined domain and does not hallucinate obligations
Verifies all cited articles, recitals, and annexes actually exist and are correctly linked
GOVERNANCE DOMAIN v3 — 16 TYPES
FRAMEWORK MARKERS
Founder-led. Enterprise-tested.
Beyond our products, we bring hands-on consulting experience from inside the organizations that need AI most — banks, healthcare companies, and Fortune 500 enterprises.
Digital Asset Management & GenAI
Where content meets intelligence
We integrate DAM systems — Bynder, Aprimo, Sprinklr — with generative AI to transform how enterprises manage their digital portfolios. AI-driven taxonomy, metadata enrichment, smart asset naming, and seamless cross-platform workflows.
Enterprise AI Enablement
From 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 — the full stack from boardroom to production.
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 have managed 400B+ EUR loan portfolio engines and led ECB validation finding remediation.
Generative Change & Leadership
Transform mindsets, not just systems
Certified in Robert Dilts' Generative Change methodology and professional Mindset Map coaching. We bring NLP-rooted transformation frameworks to enterprise AI adoption — because technology change requires people change.
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.
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.
Articles 5, 25, 28, 32, 35, 44-49
Data protection by design. Lawful processing. No cross-border transfer outside EU.
Articles 9, 12, 13, 14, 26
Risk management, record-keeping, transparency, human oversight, and deployer obligations.
Security, availability, and confidentiality controls under independent audit.
Information security management system aligned with international standards.
Network and information security measures for essential and important entities.
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.
Quantamix Solutions is an EU-based company building sovereign AI infrastructure. Data residency, compliance, and transparency are not features -- they are foundations.
Strategic Partnerships
Collaborating with global technology leaders to deliver enterprise-grade AI solutions
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
Technology Partners
Certifications and Coaching
Certified partnership in Generative Change methodologies, bridging AI-driven brand strategy with human-centered coaching frameworks.
Partnership with Mickey Feher on MindsetMap coaching integration, enabling psychographic-informed brand collaboration strategies.
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 B.V.
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
GenAI transformation for Ring marketing; managed 2,500+ digital assets, 50% efficiency boost.
Founded 200-member GenAI Champions Community, 500K EUR annual savings, 80-99% metadata accuracy.
Led Google Cloud Migration — Trading Book Stress Testing to GCP using Looker and BigQuery.
Product Owner IFRS9 Calculation Engine, managed 400B+ EUR loan portfolio.
FRTB and IRRBB Capital Calculations Workstream Lead.
Economic Capital Modeling, regulatory stress testing.
Quantitative Risk Management.
Key Achievements
What our clients say
Real results from enterprise leaders and marketing strategists who use our AI platform.
“CrawlQ's AI platform shifted my perspective on what AI can offer at enterprise level.”
“This tool has masses of potential...you will get an entire content marketing strategy and brand identity kit.”
“By combining CrawlQ with my writing and personality, I have a very effective tool. Audience research sets CrawlQ apart from other AI content generation tools.”
DR 3→16 in 6 weeks · 42 articles published
“I made more progress in 30 minutes than I've made in the last 5 years.”
“CrawlQ is a hidden gem that people easily confuse by comparing it to other SEO & AI Content tools.”
“Its market research is even more in depth than a professional market research audit.”
“If you want to know the deepest desires of your target audience, you must have CrawlQ!”
“It is now a stable component of my workflow.”
“An excellent content management system for those looking to write content related to specific Niche.”
Case Study Highlights
Philips Personal Health
Fortune 500 — Healthcare Technology
FractalMax
Entrepreneurship & Business Education
Enforcement begins August 2, 2026
The window for preparation is closing. Organizations deploying AI in the EU have months -- not years -- to establish compliant risk management, transparency, and oversight systems.
What the EU AI Act requires from your organization
Risk Classification
Determine if your AI system is high-risk. Most enterprise AI in regulated sectors qualifies.
Risk Management
Establish a risk management system throughout the entire lifecycle of the high-risk AI system.
Transparency
Provide clear documentation so deployers can interpret outputs and use the system appropriately.
Human Oversight
Build systems that enable effective human oversight, including the ability to override or halt the AI.
Compliance Timeline
From assessment to enforcement
Map your AI systems against EU AI Act requirements. Identify high-risk classifications.
Deploy risk management, transparency reporting, and human oversight mechanisms.
Verify compliance documentation. Run internal audits. Prepare for enforcement.
EU AI Act enforcement begins. Non-compliance penalties up to 35M EUR or 7% of global revenue.
How Quantamix helps you get ready
EU-built tools for EU AI Act compliance
TRACE Compliance Scoring
Quantified, auditable compliance scores across all EU AI Act articles. Know exactly where you stand and what gaps remain.
Knowledge Graph Intelligence
Neo4j-powered regulatory mapping that traces obligations across articles, identifies dependencies, and generates gap attribution reports.
Merkle-Chain Audit Trail
Every compliance decision cryptographically linked and hash-verified. 7-year retention. Built for regulatory scrutiny.
The organizations that start now will be compliant by August. The ones that wait will be scrambling.
From the field, not the sidelines
Practical perspectives on enterprise AI, regulatory compliance, and digital transformation — written by practitioners, not analysts.
Let's talk about what you need
Whether you're evaluating AI compliance tools, planning an enterprise AI rollout, or need help navigating the EU AI Act — we are here.
Company
Quantamix Solutions B.V.
KVK: 73625183
Buitendijks 2, 1422MM
Uithoorn, Netherlands