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Make AI ship — and stay within the lines

AI Advisory

AI is rewriting the rules of both products and regulation. The EU AI Act, algorithm and generative-content rules across jurisdictions, and the boundaries of training data and copyright are all shifting fast — the faster the technology moves, the more governance certainty is worth.

We put AI governance, data compliance, and product delivery on the same table, helping companies seize the growth of AI while building an auditable, explainable, and durable compliance foundation.

Service areas

AI advisory & governance

Compliance, risk, and governance for AI across fast-changing regulation.

  • Risk classification and governance policies
  • Data and model compliance
  • Content labeling, safeguards, and terms
  • AI due diligence for investment and partnerships

Large-model (LLM) delivery

Putting large models into production — grounded, evaluated, and safe.

  • RAG on enterprise data with access control
  • Private / on-prem deployment where required
  • Evaluation, guardrails, and red-teaming
  • Agent permissions and auditability
Key services

AI compliance & governance

EU AI Act risk classification, risk-management systems, model cards, and governance policies.

Data & model compliance

Training-data provenance and licensing, copyright and privacy boundaries, processing and retention.

Generative AI delivery

Content labeling and watermarking, hallucination and misuse safeguards, terms and disclaimers.

Industry AI solutions

Compliant AI paths tuned to regulated sectors such as legal, finance, and healthcare.

AI for global markets

Compliant launch and local governance for AI products across the EU, US, and emerging markets.

AI due diligence

AI-related compliance and risk diligence for investment and partnerships.

How we work
  1. 01

    Diagnose

    Clarify the use case, data, risk tier, and target markets.

  2. 02

    Design

    Model/architecture choice, data flows, and governance controls.

  3. 03

    Build

    RAG, fine-tuning, or agents with guardrails and evaluation.

  4. 04

    Govern

    Labeling, logging, and auditable records for ongoing compliance.

Deliverables
  • AI risk classification & governance policy
  • Data & model compliance review
  • LLM/RAG architecture & evaluation plan
  • Guardrails, content labeling & user terms
  • Model cards & audit-ready documentation
  • Launch & governance runbook
Typical projects
  • 01Stand up a compliant RAG assistant on enterprise data
  • 02EU AI Act assessment before launching a generative-AI feature
  • 03Private LLM deployment for a data-sensitive workflow
  • 04Evaluation and guardrail design for an AI agent
Typical scenarios
  • 01EU AI Act assessment before launching a generative-AI product
  • 02Mapping training-data provenance and copyright risk
  • 03Designing content labeling, moderation, and user terms for AI features
  • 04AI compliance due diligence on a target company for investors

Ready to move your expansion forward?

Tell us your target markets, industry, and timeline — we'll give you a clear first step.