GENERATIVE AI
Integrate the power of generative AI
We design and integrate the LLM building blocks your teams need: content generation, RAG, autonomous agents, fine-tuning and conversational interfaces.
Why generative AI is a game-changer
We support founders and tech teams who want to move from AI experimentation to real production.
- Right model selection based on your context and constraints
- Robust architecture: no fragile prototype, maintainable code
- Sensitive data handled on-premise or in secure environments
- Integration into your existing tools, no stack overhaul needed
- Performance metrics defined from day one
- Post-deployment support to refine and iterate
What we build
AI Agents & Chatbots
Conversational assistants that handle customer requests, qualify leads and manage internal queries — available around the clock without human intervention.
RAG & Knowledge Base
Search across your internal data: PDFs, databases, wikis, emails and proprietary documents, for accurate and sourced answers.
Predictive Analytics & Data
Your raw data turned into actionable insights: real-time dashboards, predictive scoring and data-driven decision support.
Custom LLM & Generative AI
Selection, configuration and fine-tuning of language models on your business data: content generation, semantic search and automatic summarisation.
Common use cases
Integrable into your tools
We integrate your AI solutions into your existing tools, whether it's a web app, a Python backend, a SaaS or a third-party API.
Slack, Notion, Salesforce, Microsoft Teams, CRM…
Our generative AI stack
Model choice adapted to your constraints and data
How we work
Identify a key process
We start from a real process: a repetitive task, a large volume of documents, an overloaded support team or information that is hard to find.
Prototype quickly
We build a functional prototype to verify response quality, data integration and value for end users.
Connect to your tools
We link the solution to your existing tools (CRM, ERP, email, database, Notion or business API), with close attention to access, data and human oversight.
Deploy and improve
We put the solution into production, monitor its usage and refine it based on real-world feedback.
Have a project in mind?
A project to build, a process to automate, a mobile app to launch: let's talk. No commitment, just a conversation.