AI Strategy That
Cuts Through the Hype

Edge AI & Embedded ML

On-Device Intelligence

Neural networks on resource-constrained automotive ECUs. TensorFlow Lite and ONNX optimization. Critical as 27% of German companies expect AI workforce transformation (ifo Institute 2025).

9 Production AI Systems

Enterprise Clients

Delivered production-ready agentic AI systems for major energy, automotive, and railway clients across Europe. Measurable ROI, not just demos.

Cross-Continental Compliance

EU · China · USA

15+ years China operations navigating PIPL. EU AI Act native. Understanding US ICTS Rule impacts. The only consultancy positioned for all three major regulatory regimes.

AI Transformation Partner

$11B → $91B Market (2025-2035)

The AI consulting market grows 26% CAGR. Built 10+ international teams. We enable domain experts to become AI-augmented professionals, not replaced.

Automated Quality Document Review

Automotive Supply Chain

Production part approval requires reviewing multi-document packages against 18 standard elements — manual checking is slow and inconsistent across reviewers.

AI classifies all document types, extracts structured fields with evidence tracing, and validates against configurable checklists using durable workflows for reliable processing.

Transforms a multi-day manual review into an automated pipeline with real-time progress tracking and per-submission cost transparency.

ML-Based Fleet Range Prediction

Electric Commercial Fleet Operator

Fleet operators need accurate range, battery aging, and charging time predictions — existing tools are expensive, deterministic, and provide no confidence intervals.

ML ensemble with physics-informed features replaces a legacy simulation tool, delivering confidence intervals instead of point estimates at a fraction of the cost with comparable accuracy (R² > 0.98).

Replaces a costly legacy simulation tool with an ML solution that provides uncertainty quantification for better fleet planning decisions.

Real-Time Tariff Intelligence

Cross-Border Trade Compliance

Cross-border trade compliance requires monitoring thousands of tariff changes across publications, with rules of origin scattered in complex regulatory documents.

Automated tariff schedule monitoring with change detection, rules of origin extraction from regulatory PDFs, and RAG-powered AI chat for compliance questions.

Transforms reactive tariff compliance into proactive intelligence with automatic change detection and AI-assisted regulatory analysis.

Federated Anti-Money Laundering

European Banking Consortium

Banks need to detect money laundering patterns across institutions, but privacy regulations prevent sharing customer transaction data between organizations.

Federated learning enables multiple banks to collaboratively train an AML detection model without sharing raw data — only model gradients are exchanged, with tamper-evident audit trails.

Cross-institutional AML detection that preserves privacy and regulatory compliance while detecting regional laundering typologies invisible to single institutions.

Privacy-Preserving Biometric ID

Multi-Organizational Identity Systems

Biometric systems need training data from multiple organizations, but sharing facial data across institutions violates privacy regulations and raises ethical concerns.

Federated face recognition trains across simulated organizations without sharing raw images — only model weights are exchanged, using advanced loss functions for robust embeddings.

Enables multi-organizational biometric systems that meet GDPR/privacy requirements while achieving competitive recognition accuracy.

Federated Medical Image Classification

Hospital Collaborative Network

Hospitals need collaborative AI for medical imaging but cannot share patient data. Individual institutions lack sufficient training data for accurate models.

Federated skin lesion classification allows hospitals to collaboratively train deep learning models while keeping all patient data local, with CNN architecture design and safety-filtered AI assistance.

GDPR/HIPAA-compliant collaborative AI training that improves diagnostic accuracy beyond what any single institution could achieve alone.

AI Data Sovereignty

Cross-continental compliance architecture. EU AI Act, GDPR-first design, data residency controls, and regulatory documentation.

Federated Learning

Privacy-preserving AI that keeps data where it belongs. Edge deployment, distributed training, and secure aggregation.

Web3 Data Attestation

Blockchain-backed data integrity. Immutable audit trails, cryptographic provenance, and verifiable data pipelines.

Specialized AI Platforms

Custom vector stores, semantic search engines, and context engineering. Built for your specific domain requirements.

AI Data Engineering

End-to-end data pipelines. Extraction, semantic chunking, dedicated embeddings, reranking, and hybrid search optimization.

Agentic Workflows

Autonomous AI systems with guardrails. E2E secured processing, MLOps orchestration, and production-grade reliability.