General-purpose models learn from the public internet. They are fluent, but they stumble over specialist vocabulary, fill gaps with confident guesses and know nothing of the rules your organisation answers to. We tune models to your sector instead - adapted on your reference material, constrained by your compliance obligations and scored against the tasks your teams actually perform.
The model absorbs your terminology, documents and procedures, so its answers are on point, exact and consistent.
Safety limits, data controls and private hosting keep confidential material where it belongs.
We work with Llama, Mistral, OpenAI and other leading models, hosted on AWS, Azure, Google Cloud or your own hardware.
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Run the model in your own cloud tenancy or data centre, so proprietary data stays under your control.
Talk It Through
Ongoing feedback and scoring keep the model accurate as your products, policies and regulations change.
Talk It Through
A clinical model that reads medical terminology correctly, condenses patient records and helps with clinical documentation - hosted with privacy controls designed in from the start.
A finance-literate model that reads policies, regulatory notices and financial documents, and gives internal teams precise, consistent answers they can trace back to source.
A legal model that reviews contracts, highlights unusual or risky clauses and produces first drafts that follow your precedents and house style.
We define the tasks, the users and the standard the model must meet before it is trusted.
We gather, clean and organise your reference documents and knowledge sources under strict access controls.
We pick the base model best suited to the job, then tune it to your sector's language and tone.
We test accuracy and safety against agreed cases, then launch with monitoring in the environment you choose.
Engineering Practices
Sectors We Serve
Built From Scratch, For You
Agents That Act
Prove the idea on your own data before you commit to a full build.
Opportunity-mapping workshop
Working prototype on a data sample
Frank feasibility and payback review
Plan for going live
A hardened, production-grade system connected to your software.
Design and build from start to finish
Connectors to your apps and records
Evaluation suites and safety limits
Launch, documentation and handover
Ongoing tuning, monitoring and engineering support as usage grows.
Monitoring and accuracy tuning
Model and prompt refreshes
New capabilities and use cases
Fast-lane engineering support
Case studies that show our methods applied to real problems.
Highlights probable conditions in X-rays and scans and shows clinicians the evidence behind each finding.
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Risk-scores every transaction and raises live alerts on likely fraud.
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Aspect-by-aspect sentiment and emotion from customer feedback, delivered as dashboards.
Read case study →Field notes from our engineers on shipping AI that holds up.