AI assistants
Intelligent assistants that support users with information, decisions and tasks inside digital products.
Generative AI Development for
Intelligent Digital Products
Generative AI Development for Intelligent Digital Products
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.
Our generative AI development includes
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AI assistants
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Content generation
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Document analysis
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Summarisation
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Intelligent search
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Knowledge systems
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Recommendation features
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Conversational interfaces
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Workflow support
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Custom AI applications
What we build
Content generation systems
Applications that generate structured content, reports, summaries and business materials from approved data and instructions.
Document intelligence
Systems that read, extract, compare and reason across large volumes of documents.
Conversational products
Natural-language interfaces that allow users to interact with software, data and knowledge more easily.
AI-powered search
Search experiences that understand meaning and context rather than relying only on keywords.
Knowledge applications
Products that bring together enterprise information and generative AI to help users find and understand what they need.
Generative AI built into real products
Generative AI becomes useful when it is connected to the right data, workflows and user experience. We help businesses move beyond simple prompt interfaces by building AI into products and processes where it can support real work.
That includes working across formats where it’s useful, not just plain text: text, images, documents, audio and structured data.
What every generative AI system needs
Beyond the chatbot
Generative AI can do far more than answer questions: writing assistance, analysis and classification, recommendations and document processing, reporting, research and workflow guidance.
Grounded in trusted data
Outputs are grounded in your own information: internal documents, knowledge bases, databases and CRM data, alongside policies, product information and approved external sources.
Evaluation and quality
We measure what matters before launch and after: accuracy, relevance and consistency, hallucination rate and tone, retrieval quality, cost, latency and real user satisfaction.
Security and controls
Data permissions and authentication are considered from the start, with protection against prompt injection and sensitive data exposure. Logging, human review and content controls keep the system auditable.
Our generative AI development
process
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01. Discover
Understand the problem, users and data.
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02. Define
Choose where generative AI adds real value.
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03. Prototype
Test models, prompts and workflows.
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04. Design
Create the right user experience around the AI.
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05. Engineer
Build the application, integrations and AI layer.
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06. Evaluate
Measure quality, reliability and edge cases.
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07. Deploy
Release into production with monitoring and controls.
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08. Improve
Refine the system using real usage and feedback.
Use cases
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Customer service
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Internal knowledge
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Professional services
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Financial services
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Healthcare workflows
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SaaS products
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Research
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Education
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Content-heavy businesses
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Document processing
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Sales enablement
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Enterprise operations
Why WeUno
AI and software engineering together
We build the full product around the model, not just the model integration.
Product-led approach
We start with the user problem and workflow.
Model flexibility
We choose the right model for the job — balancing quality, speed, cost and privacy — rather than defaulting to the same one for everything.
Built for production
Evaluation, security, scalability and monitoring are considered from the beginning.
Related AI services
AI Development
We design and build AI systems that move beyond demos. From AI agents and RAG platforms to generative AI applications and enterprise integrations, WeUno helps businesses turn AI into reliable, usable products.
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.
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.
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.