MOCHIKABU
Artificial Intelligence & Data

Enterprise AI and data platforms — governed, compliant, production-grade

We take generative AI and data initiatives from pilot to regulated production: use-case strategy, guardrails, data foundations, and the human oversight the EU AI Act demands.

EU AI ActRAG & GuardrailsData Governance
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74%of leaders cite compliance as the top AI hurdle
60+AI use-cases assessed and risk-tiered
100%audit-traceable model outputs
250+technology leaders in our 2026 survey

Capabilities

From AI strategy to governed production

AI Strategy & Governance

  • Use-case portfolio and risk tiering
  • EU AI Act classification and compliance design
  • Model review boards and human oversight

Generative AI Engineering

  • RAG architectures on governed data sources
  • Deterministic guardrails and evaluation harnesses
  • Observability and immutable audit logging

Data Platforms

  • Data mesh and domain data ownership
  • Quality gates and end-to-end lineage
  • Analytics and reporting foundations

How We Engage

A compliant path from pilot to production

  1. Readiness Assessment: Use-case value, risk tier, and data maturity.
  2. Guarded Pilot: A production-shaped pilot with guardrails from day one.
  3. Hardening: Evaluation, red-teaming, and compliance evidence.
  4. Governed Scale-out: Controlled rollout with continuous oversight.

Deliverables

What you receive

  • AI governance handbook and risk classification
  • Production RAG platform with guardrails
  • Versioned evaluation harness
  • End-to-end compliance evidence chain

Our Research

Gen AI Survey 2026

How 250+ technology leaders in the DACH region scale generative AI under regulatory constraints — barriers, budgets, and what production-grade adoption actually takes.

Explore the survey

Next Step

Make AI work under regulation

Start with an AI readiness assessment and get a risk-tiered use-case roadmap.

Request an assessment