AI agents
Build agents that can understand tasks, use tools, retrieve information and take actions across business systems.
The value of AI comes from how well it fits into the product, workflow and data around it.
We help UK businesses identify where AI can create meaningful value, then design and engineer custom AI systems that work reliably in production. From AI agents and RAG to generative AI and enterprise integrations, our team covers the product, software engineering and AI layer needed to take an idea from prototype to deployment. Explore our AI development cost guide and our guide to moving AI from prototype to production.
Our AI development work includes
AI agents
RAG systems
Generative AI applications
AI copilots
Intelligent search
Document intelligence
Workflow automation
Recommendation systems
AI integrations
Custom AI products
Build agents that can understand tasks, use tools, retrieve information and take actions across business systems.
Connect large language models to your own documents, knowledge bases and enterprise data.
Build natural-language search experiences across complex datasets and knowledge sources.
Create products that generate, analyse, summarise and transform information using modern language models.
Extract, classify, analyse and reason across large volumes of structured and unstructured documents.
Create intelligent assistants embedded inside existing products and workflows.
Use AI to support repetitive, knowledge-heavy or multi-step business processes.
Build complete AI-native products from product strategy through engineering and launch.
AI technology is changing quickly. Where practical, we avoid unnecessary dependence on one model or provider.
Our teams can work across OpenAI, Azure OpenAI, Anthropic, Google models, open-source models, vector databases, cloud AI services and custom model APIs.
01. Discover
Understand the business problem, users, data and workflow.
02. Define
Choose the right AI approach and identify what should be automated or augmented.
03. Prototype
Test models, prompts, retrieval and key workflows
04. Design
Create the user experience and interaction model.
05. Engineer
Build the application, integrations, backend and AI layer.
06. Evaluate
Measure quality, accuracy, reliability and edge cases.
07. Deploy
Move the system into production with monitoring and controls.
08. Improve
Use real usage and feedback to continuously improve performance.
Financial services
Professional services
Healthcare
SaaS products
Knowledge-heavy businesses
Internal operations
Compliance workflows
Customer support
Research
Document processing
Enterprise software
We build both the AI layer and the systems it needs to run in, from backend and infrastructure to the product itself.
We plan for evaluation, monitoring, cost control and scalability from day one, not as an afterthought once something breaks.
AI technology moves fast. We avoid unnecessary dependence on one model or provider, working across OpenAI, Azure OpenAI, Anthropic, Google models and open-source alternatives.
We have built production AI systems including Vellum, a mortgage underwriting platform using RAG and document intelligence across 3,000+ pages of mortgage guidance and documentation, alongside AI assessment platforms supporting real evaluation workflows.
We build AI agents that can do more than answer questions. WeUno designs agentic systems that can reason across tasks, use tools, retrieve trusted information and take controlled actions across business systems.
WeUno develops generative AI applications for businesses, including intelligent assistants, document analysis, summarisation, knowledge systems and AI features embedded into digital products.
WeUno is a UK RAG development company building production retrieval-augmented generation systems that connect AI to trusted enterprise knowledge. Our experience includes mortgage underwriting AI working across 3,000+ pages of lending and investor guidance.
Add AI to the tools and workflows you already use. WeUno connects AI models, agents and automation into existing software so businesses can improve efficiency without rebuilding everything from scratch.
We help businesses work out where AI can create real value, what should be built and how to move from experimentation into production without wasting time or budget.