AI & automation
AI that runs your processes, not a demo.
We design and build intelligent digital products: AI models connected to your data and tools, shipped to production and monitored like the rest of your software.
01What we build
Five ways to put AI to work.
Every piece rests on our core craft: designing, building and maintaining software.
- 01
Model integration
Plug the right models into your existing applications, behind an API you control.
- OpenAI
- Anthropic (Claude)
- Google Gemini
- Open-source models
- AI gateway
- Text, image and documents
- 02
Agents & automation
Agents that carry out business tasks with your tools, within clear, controlled boundaries.
- Tool-using agents
- Business assistants
- Workflow orchestration
- n8n, webhooks and APIs
- 03
RAG & knowledge
Assistants that answer from your documents and databases, and cite their sources.
- Document bases
- Semantic search
- Embeddings
- Vector databases
- Internal assistants
- 04
AI-powered applications
Applications where AI is part of the product from day one.
- Copilots
- Document analysis
- Data extraction
- Classification
- Recommendations
- Smart search
- 05
Process automation
Remove repetitive work between your inbox, CRM and internal tools.
- Email triage
- Document generation
- Lead qualification
- Reporting
- Customer support
02Use cases
What can AI do for your business?
Concrete uses that start from a business problem, not from a technology.
- 01
Customer support
An assistant that answers from your documentation and hands over to a person when needed.
- 02
Document intelligence
Extract and check data from PDFs, invoices and contracts automatically.
- 03
Sales
Qualify inbound leads and draft tailored replies.
- 04
Internal knowledge
Find any answer in your team’s documents in seconds.
- 05
Workflow automation
Connect CRM, email, ERP and internal tools without re-keying.
- 06
Content intelligence
Generate, summarise, transform and classify content at scale.
03The full chain
From business need to production monitoring.
A prompt is one link. A useful AI system needs the whole chain.
- 01
Strategy
Pick the use cases that pay off, and drop the ones that don’t.
- 02
Data
Gather, clean and secure the data that matters.
- 03
Models
Match the model to the task, the budget and your privacy needs.
- 04
AI engineering
Structured outputs, tool calling, RAG, evaluation.
- 05
Integration
Connect AI to your applications, APIs and existing tools.
- 06
Automation
Run tasks hands-free, with guardrails.
- 07
Deployment
Ship to production with the rigour of any software.
- 08
Monitoring
Track quality, cost and errors, then improve.
04Our approach
AI is part of the software, not a showcase.
- Selling prompts
- Dropping a chatbot on a website
- Adding ChatGPT to follow the trend
- Generating content unchecked
We combine AI engineering, software engineering and business automation: AI becomes a component of your systems, tested, secured and maintained like any other.
05Technologies
Tools that serve the outcome.
We choose technology to fit the need, never the other way round.
Models
- OpenAI
- Anthropic
- Gemini
- Open-source LLMs
AI engineering
- Python
- TypeScript
- APIs
- Structured outputs
- Function calling / Tool use
- Embeddings
- RAG
- Vector search
Automation
- n8n
- Webhooks
- APIs
- Event-driven workflows
Infrastructure
- Docker
- Cloud
- Redis
- PostgreSQL / MySQL
- Vector databases
06Method
An AI project is run like a software project.
Same steps, same standards: scoping, design, development, release and follow-up.
Empathy
We listen to your ideas and share our experience to frame the real need.
Expertise
Our people analyse your needs: usage, constraints, integrations.
Solution
We design the strategy and the architecture, with inventiveness.
Development
Scrum paces the cycle: short iterations, demos, adjustments.
Your project
A process to automate, documents to put to work?
Tell us about the problem. We’ll tell you whether AI is the right answer, and how to take it to production.