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What we do

From initial audit to production deployment and ongoing optimisation, we cover the full AI lifecycle. Every engagement is tailored to your industry, data maturity, and business goals.

EU AI Act & UK AI Compliance

Stay ahead of regulation before the deadlines hit

The EU AI Act requires all high-risk AI systems to be compliant by August 2026. The UK's pro-innovation framework takes a different approach but still demands governance. We help you navigate both.

What we deliver

  • Full AI system inventory and risk classification (prohibited, high-risk, limited, minimal)
  • Gap analysis against EU AI Act Articles 9-15 requirements
  • UK AI governance framework alignment with DSIT principles
  • Technical documentation and conformity assessment preparation
  • Human oversight procedures and transparency reporting
  • Cross-border compliance strategy for EU + UK operations
Timeline 2-4 weeks
Best for Enterprises using AI in EU/UK markets
Deliverable Compliance roadmap + governance framework
Get a Compliance Assessment

AI Readiness Audit

Know exactly where you stand and where to invest

Before building anything, you need to know what's possible with your data, team, and infrastructure. Our audit gives you a scored assessment and a prioritised roadmap.

What we deliver

  • Data maturity assessment across all relevant business units
  • AI opportunity identification with ROI projections
  • Technical infrastructure review and gap analysis
  • Team capability assessment and upskilling recommendations
  • Scored readiness report with clear next steps
  • Executive presentation with strategic recommendations
Timeline 2 weeks
Best for Companies exploring AI for the first time
Deliverable Scored readiness report + roadmap
Book an Audit

AI Integration & Automation

Embed intelligence into your existing systems

You don't need to rebuild everything. We integrate AI capabilities into your existing workflows, ERPs, CRMs, and internal tools to automate repetitive tasks and surface actionable insights.

What we deliver

  • Workflow analysis and automation opportunity mapping
  • Custom ML model development for your specific use cases
  • API-first integration with existing systems (SAP, Salesforce, custom ERPs)
  • Intelligent document processing and data extraction
  • Automated reporting and anomaly detection dashboards
  • Production deployment with monitoring and alerting
Timeline 4-8 weeks
Best for Enterprises with manual-heavy processes
Deliverable Production-ready AI integration
Discuss Your Integration

AI-Powered MVP Development

Go from idea to production-ready product, fast

For startups and innovation teams that need to validate an AI-powered product quickly. We build production-grade MVPs with the architecture to scale, not throwaway prototypes.

What we deliver

  • Product scoping and technical feasibility assessment
  • Architecture design for scalable AI products
  • Core ML model development and training pipeline
  • Backend API development with production-ready infrastructure
  • Frontend integration and user-facing features
  • Deployment, documentation, and handover to your team
Timeline 4-8 weeks
Best for Startups and innovation teams
Deliverable Production-ready MVP + codebase
Build Your MVP

GenAI & LLM Products

Build differentiated products on top of large language models

LLMs are powerful but building reliable products on top of them requires deep expertise. We design and build RAG systems, fine-tuned models, AI agents, and custom GenAI workflows that actually work in production.

What we deliver

  • RAG (Retrieval-Augmented Generation) pipeline design and implementation
  • Custom model fine-tuning on your domain-specific data
  • AI agent and multi-agent system development
  • Prompt engineering frameworks and evaluation pipelines
  • Guardrails, safety filters, and hallucination mitigation
  • Cost optimisation and model selection strategy
Timeline 3-8 weeks
Best for Companies building AI-first products
Deliverable Production GenAI system + deployment
Explore GenAI

Fractional Chief AI Officer

Senior AI leadership without the full-time commitment

Not every company needs a full-time CAIO, but every company adopting AI needs strategic leadership. Our fractional CAIO service embeds a senior AI leader into your team part-time to drive strategy, governance, and execution.

What you get

  • AI strategy aligned with your business objectives and competitive landscape
  • AI governance framework and responsible AI policies
  • Vendor evaluation and build-vs-buy recommendations
  • Team hiring guidance and capability development
  • Board and investor communication on AI strategy
  • Ongoing advisory on AI trends, risks, and opportunities
Engagement 1-3 days per week
Best for Growth-stage companies and mid-market
Minimum term 3 months
Discuss CAIO

Data Platforms & Analytics

Foundations that make AI worth doing

AI is only as useful as the data underneath it. We design and ship the data foundations that make production AI possible: ingestion, modelling, governance, and analytics—built on EU-resident infrastructure where it counts.

What you get

  • Data architecture review and target-state design
  • ELT pipelines (Airbyte, Fivetran, custom) into Postgres / BigQuery / Snowflake
  • dbt models, semantic layers, and dashboard-ready marts
  • Vector stores (pgvector, Qdrant) for RAG and search
  • Pennylane, Xero, QuickBooks, HubSpot integrations for finance and revenue data
  • Data governance, lineage, and access controls aligned with GDPR
Typical timeline 3–6 weeks
Best for Teams stuck in spreadsheets or with siloed data
Hosting EU-resident (OVHcloud, Scaleway, Supabase EU)
Discuss data platform

Scalable Backend & MLOps

Production AI that holds up after the demo

The hard part of AI is everything after the prototype: deployment, monitoring, retraining, evaluations, and cost control. We harden AI systems for production use in regulated environments—with the audit trail, observability, and EU-residency constraints your compliance team will ask for.

What you get

  • Containerised model serving (Cloudflare Workers, Modal, OVHcloud GPU, Scaleway)
  • CI/CD for prompts, RAG configs, and fine-tuned models
  • Evaluation harnesses with regression detection on production traffic
  • Observability: latency, cost-per-request, hallucination rates, retrieval recall
  • Drift detection, scheduled re-training, and rollback procedures
  • Audit logs and incident workflows aligned with EU AI Act post-market obligations
Typical timeline 4–8 weeks to production
Best for Teams moving from PoC to scale, or hardening an existing AI feature
Compliance EU AI Act high-risk · SOC 2 friendly
Discuss MLOps

Flexible models for every stage of growth

Whether you need a quick audit or an embedded AI team, we offer engagement models designed to match your budget, timeline, and ambition.

Sprint

Focused Engagement

Perfect for scoping, audits, and targeted problem-solving

  • 1-3 week engagements
  • AI Readiness Audit
  • Compliance gap analysis
  • Proof of concept
  • Executive AI briefing
Book a Sprint
Most Popular

Build & Deploy

End-to-end AI development from design to production

  • 4-12 week projects
  • Custom ML model development
  • AI-powered MVP launch
  • GenAI & LLM integration
  • Production deployment & monitoring
  • Full documentation & handover
Start Building
Strategic

Embedded Partnership

Ongoing AI leadership and capability building

  • 3-12 month retainers
  • Fractional Chief AI Officer
  • AI governance framework
  • Team training & upskilling
  • Vendor evaluation & strategy
  • Board & investor advisory
Discuss Partnership

Not sure which service fits?

Book a free call. We'll listen, ask the right questions, and recommend the best starting point.