AI agents
Build agents that can understand tasks, use tools, retrieve information and take actions across business systems.
WeUno is a UK AI development company building production AI agents, RAG systems and intelligent software. Our engineering team developed Vellum Mortgage’s underwriting AI using LangChain, Pinecone and AWS to deliver source-grounded answers across 200+ lending and policy documents. We take AI from architecture and integration through deployment, evaluation and ongoing improvement.
The value of AI comes from how well it fits into the product, workflow and data around it.
WeUno Technologies is a UK AI development company that helps businesses identify where AI can create meaningful value, then designs and engineers custom AI systems that work reliably in production. Our work includes retrieval-augmented generation (RAG) development, AI agents, generative AI, and AI integrations into existing software. Our team covers the product, software engineering and AI layer from prototype through production. For Vellum Mortgage, we engineered a RAG-based underwriting assistant drawing on more than 200 investor, agency and internal documents, with LangChain agent orchestration, Pinecone retrieval and AWS infrastructure. Explore the Vellum Mortgage AI case study for the architecture, access controls and production delivery details. 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 engineered Vellum Mortgage's mortgage-underwriting AI with retrieval-augmented generation, specialised agents and sourced answers across 200+ investor, agency and internal documents. The platform uses LangChain orchestration and Pinecone retrieval, with role-based access controls and AWS infrastructure. See the Vellum Mortgage case study for the architecture and implementation. Independent client evidence: in a verified Clutch review, SuperPowerMe's founder confirmed that WeUno built the frontend and backend of its AI copilot MVP and delivered on time and within budget.
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 secure, source-grounded AI over enterprise documents and data. For Vellum Mortgage, our team engineered a mortgage underwriting assistant using LangChain, Pinecone and AWS, retrieving evidence across 200+ investor, agency and internal documents. We build retrieval pipelines, permission-aware access, evaluation and production integrations.
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.