Senior-led delivery,
audit to production.
From independent AI audits to end-to-end custom builds. Production-grade delivery for mid-market businesses.
Director-led delivery
Every engagement is run by a Cymrai director. No junior teams, no hand-offs after sign-off.
Production-grade, always
We do not build demos. We build systems your teams can rely on in the real world.
Research-backed approach
Academic collaboration through USW's Startup Stiwdio means current methods, not last year's frameworks.
AI Auditing & Governance
Independent assessment of your AI systems, data practices and governance frameworks.
If your organisation uses AI, whether you built it or bought it, you need to know it is working correctly, behaving fairly and meeting your regulatory obligations. We run an independent, structured assessment aligned with ISACA's standards (CISA, CRISC, CGEIT and the AAIA™ framework).
We produce a plain-language report for leadership and a technical annex for engineering teams, with findings rated by severity and a clear, prioritised remediation roadmap.
Aligned with ISACA · CISA · CRISC · CGEIT · AAIA™
Start a conversation- 01
AI Risk Assessment
Model bias, accuracy degradation and adversarial vulnerability, identified and quantified.
- 02
Governance Review
Accountability structures, ownership, policy and oversight of AI systems.
- 03
Control Assessment
Access controls, versioning, change management and monitoring in production.
- 04
Regulatory Alignment
UK GDPR, EU AI Act, FCA, NHS and sector-specific compliance requirements.
- 05
Audit Report & Roadmap
Plain-language findings for leadership and a prioritised technical remediation plan.
What we deliver,
end to end.
Built to your exact requirements
Custom AI Solutions
We design, build and deploy AI systems that solve specific problems your business faces, not generic tools retrofitted to your workflow. Every solution is built by our directors, delivered to production standard and maintained for the long term.
- Custom LLM integration
- ML model development & deployment
- Intelligent document processing
- AI-powered workflow automation
- End-to-end delivery, design to production
Pipelines, warehouses & analytics
Data Engineering
AI is only as good as the data behind it. We build the data infrastructure that powers great decisions: ingestion pipelines, cloud warehouses and real-time dashboards. Clean, reliable and available when it is needed.
- Data pipeline design & build
- Cloud data warehouses (BigQuery, Snowflake)
- Real-time streaming (Kafka, Flink)
- BI dashboards & reporting
- Data quality, governance & observability
Clarity before commitment
AI Strategy & Consulting
Most organisations know AI should be part of their future. Fewer know where to start or how to evaluate what is worth building. We work with leadership and technical teams to define a realistic AI strategy grounded in your actual data capabilities, budget and business objectives.
- AI readiness assessment
- Use-case identification & prioritisation
- Technology selection & build-vs-buy analysis
- Staged transformation roadmap
- Executive workshops & board briefings
Models, APIs and existing systems, connected
AI Integration
Adding AI to an existing business means connecting models to data, APIs to workflows and outputs to the people who need them. We handle the integration layer (authentication, orchestration, error handling, monitoring) so the AI becomes a reliable part of your operation rather than an isolated experiment.
- Third-party AI integration (OpenAI, Anthropic, AWS, Azure)
- API orchestration & middleware
- AI model serving & auto-scaling
- Production monitoring & alerting
- Legacy system modernisation
Hands-on upskilling for teams & leaders
Training & Workshops
The gap between knowing AI exists and knowing how to work with it effectively is wider than most organisations realise. We run practical, hands-on sessions tailored to your team's level, from executive introductions through to deep technical training for engineers.
- AI & LLM fundamentals for business teams
- Prompt engineering & RAG
- Data engineering practices for ML
- MLOps & model lifecycle management
- Embedded team mentoring
Not sure where to start?
Tell us what you're working on, or what's not working. Our directors will help you scope the right engagement, and tell you if you don't need us.