Generative AI & LLM Integration
Integrate language models into your products and workflows, safely.
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Why it matters
Language models promise a lot, but in production the challenges are reliability, security and cost. A demo is easy; a safe, governed integration is not.
We integrate language models into your products and workflows responsibly: scoped use cases, retrieval over your own data (RAG), safeguards and monitoring. The goal is benefit without uncontrolled risk.
Generative AI only creates value once it is scoped, secured and connected to your own data. Without these it is an impressive demo that produces unreliable answers in production.
How we approach this
We scope the use case, build a RAG architecture over your own data, and add safeguards for content safety. We integrate the solution into your product and monitor quality, cost, and feedback.
How we work
A clear process from idea to production.
Discovery
We understand your goals, current state and data.
Design
We define the solution architecture and scope.
Prototype
We build a fast version you can see and evaluate.
Build
We take the solution to production iteratively and transparently.
Validation
We test, measure and confirm reliability.
Optimise
We tune, document and scale.
Use cases
Retrieval (RAG)
Answers grounded in your own documentation, with sources.
Support assistant
Faster answers, supporting a human agent.
Content generation
Drafts and summaries at scale.
Document processing
Extraction and classification across large volumes of text.
Internal knowledge support
An assistant answering staff questions.
Coding support
Tools that raise developer productivity.
What's included
- Use-case scoping and evaluation
- RAG architecture over your data
- Safeguards and content safety
- Integration into product/workflow
- Monitoring, cost and feedback
What you achieve
Benefit without uncontrolled risk
Answers from your own data
Controlled model cost
Technologies & capabilities
Frequently asked questions
We design the architecture so sensitive data stays under your control; we can also use private or EU-region models where needed.
We reduce them with retrieval over your own data (RAG), scoped use cases and human oversight at critical points.
It depends on the use case, cost and security requirements. We compare the options impartially.
Model calls are priced by usage; we size the solution and monitor cost so there are no surprises.
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Book a free discovery call — let us discuss how data and AI can help you specifically.
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