Healthcare & Life Sciences
Private LLM for a hospital group
Clinical summarisation on patient data that may not leave the country, no public model APIs.
How we approach it
- Open model fine-tuned on de-identified clinical notes in an in-region GPU cluster
- Served privately inside the hospital network
- Clinician review, audit logs and model documentation
How success is measured
Summary quality rated by clinicians, zero data egress, cost vs. per-token API pricing.
Related
More use cases.
Finance & Insurance
KYC / AML analyst copilot
Speed up customer due diligence while keeping every decision explainable.
LLM Apps & CopilotsRAG & SearchEU AI Act & Governance
Open →
Healthcare & Life Sciences
Clinical documentation assistant
Turn doctor–patient conversations into structured notes.
Voice AILLM Apps & CopilotsEvals & Guardrails
Open →
Healthcare & Life Sciences
Scientific literature research agent
Screen and summarise papers for systematic reviews and R&D.
AI AgentsRAG & Search
Open →
Next step
Let's talk about your AI system.
A free 30-minute call with an Engagement Lead or AI Architect. You'll leave with a clearer view of options, risks and cost, whether or not we work together. Your case doesn't need to fit any box on this site; just tell us what you're facing.
Keep exploring
There’s more to see.
Up next · How we work
Start small. Prove value. Scale.
Three engagement models, a measure-first approach and a 3-click starting-point finder.
About
Hands-on engineering, not slideware
Who we are and the principles we work by.
Blog
Notes from the field
In-depth articles on architecture, production lessons and research.
Services
Everything between the idea and the SLA
Agents, MCP servers, RAG, fine-tuning, voice, vision and governance, 19 hands-on capabilities.
Platforms & Cloud
The heavy lifting behind AI
Data & AI platforms, landing zones, accelerators and migrations between cloud AI providers.