AI agents
Build agents that can understand tasks, use tools, retrieve information and take actions across business systems.
Artificial Intelligence
Services
AI built around real business problems
The value of AI comes from how well it fits into the product, workflow and data around it. We help businesses identify where AI can create meaningful value, then design and engineer the system needed to make it work in production.
Our AI development work includes
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AI agents
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Document intelligence
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RAG systems
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Workflow automation
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Generative AI applications
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Recommendation systems
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AI copilots
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AI integrations
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Intelligent search
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Custom AI products
What we build
RAG systems
Connect large language models to your own documents, knowledge bases and enterprise data.
AI-powered search
Build natural-language search experiences across complex datasets and knowledge sources.
Generative AI applications
Create products that generate, analyse, summarise and transform information using modern language models.
Document intelligence
Extract, classify, analyse and reason across large volumes of structured and unstructured documents.
AI copilots
Create intelligent assistants embedded inside existing products and workflows.
AI automation
Use AI to support repetitive, knowledge-heavy or multi-step business processes.
Custom AI products
Build complete AI-native products from product strategy through engineering and launch.
Model and platform flexibility
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.
What goes into every AI system we build
From prototype to production
We build in the practices that separate a working demo from a system your business can rely on: reliable outputs, rigorous evaluation, safety guardrails, strong security and continuous monitoring. Cost, performance and scalability are considered from day one, alongside human oversight and integration with the systems you already run.
AI that works with your data
Your AI is only as useful as the data behind it. We connect systems to your internal documents, databases, CRMs, APIs and knowledge bases, respecting user permissions and working with your existing cloud storage, business systems and SaaS platforms.
AI engineering capabilities
Our engineers cover the full AI stack: prompt engineering, retrieval pipelines, embeddings and vector search, agent orchestration and tool calling, alongside the API integration, data pipelines, backend engineering and cloud infrastructure needed to run it in production.
Security and governance
Every system we build considers authentication, roles and permissions, and data isolation from the start. We plan for prompt injection risk and sensitive information handling, with audit trails, logging and human approval points built in where they matter.
Our AI development
process
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01. Discover
Understand the business problem, users, data and workflow.
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02. Define
Choose the right AI approach and identify what should be automated or augmented.
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03. Prototype
Test models, prompts, retrieval and key workflows
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04. Design
Create the user experience and interaction model.
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05. Engineer
Build the application, integrations, backend and AI layer.
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06. Evaluate
Measure quality, accuracy, reliability and edge cases.
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07. Deploy
Move the system into production with monitoring and controls.
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08. Improve
Use real usage and feedback to continuously improve performance.
Where AI creates value
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Financial services
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Customer support
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SaaS products
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Enterprise software
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Compliance workflows
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Healthcare
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Document processing
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Internal operations
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Professional services
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Research
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Knowledge-heavy businesses
Why WeUno
AI plus software engineering
We build both the AI layer and the systems it needs to run in, from backend and infrastructure to the product itself.
Built for production
We plan for evaluation, monitoring, cost control and scalability from day one, not as an afterthought once something breaks.
Model and platform flexibility
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.
Proven on complex AI systems
We’ve shipped AI systems like an AI-powered mortgage underwriting platform using RAG and document intelligence, and structured assessment platforms handling real evaluation workflows.
Related AI services
Agentic AI Development
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.
Generative AI Development
We build generative AI applications that help businesses create, analyse, summarise and interact with information more effectively. From intelligent assistants and content systems to document analysis and product features, WeUno turns foundation models into practical software.
RAG Development
We build RAG systems that connect large language models to your own documents, data and knowledge sources. This helps AI produce more accurate, relevant and explainable answers based on information your business actually trusts.
AI Product Development
We help businesses turn AI ideas into complete digital products. From product discovery and UX to model integration, backend engineering and production deployment, WeUno builds AI-native platforms designed around real users and real business value.
AI Integration & Automation
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.
AI Consulting
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.