Get in Touch

Ready to deploy compliant AI in your healthcare or financial organisation? Whether you're exploring AI for clinical diagnostics, fraud detection, regulatory compliance, or enterprise-scale MLOps — we'd love to hear about your challenge. Fill out the form or reach us directly. We typically respond within 24 hours with an initial assessment.

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Visit Us

Cambridge, United Kingdom

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Working Hours

Monday – Friday, 9:00 – 18:00 GMT

What to Expect

Our Engagement Process

From first conversation to production deployment — here's how we work with healthcare and financial organisations.

1

Discovery Call (30 min)

We start with a focused conversation to understand your use case, data landscape, regulatory requirements, and business objectives. Whether you're building clinical AI, fraud detection, or compliance infrastructure — we'll assess feasibility and outline a preliminary approach.

2

Technical Assessment

Our team evaluates your data readiness, compliance posture, and infrastructure. We provide a detailed scoping document covering model architecture, regulatory requirements (HIPAA, FCA, SOC 2), timeline, and investment — so there are no surprises.

3

Proposal & Kickoff

We deliver a tailored proposal with clear deliverables, milestones, and compliance checkpoints. Once approved, we assign a dedicated team and begin the engagement — typically with a compliance-first prototype in the first 4 weeks.

Common Questions

  • ✓ Do you work with NHS trusts? — Yes, we have experience deploying clinical AI across NHS trusts and private healthcare networks.
  • ✓ What's the typical project timeline? — 4 weeks for clinical AI starter, 6–8 weeks for financial AI, ongoing for MLOps engagements.
  • ✓ Can you deploy on-premise? — Yes, our containerised architecture supports on-premise, air-gapped, and hybrid cloud deployments.
  • ✓ Do you handle regulatory documentation? — Yes, we provide full audit trails, compliance reports, and model documentation for regulatory inspections.
  • ✓ What AI models do you work with? — We fine-tune Llama 3, Mistral, BioGPT, FinGPT, and domain-specific architectures using LoRA/QLoRA.
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