AI Development Agency
We build AI-first applications for startups and scale-ups. GPT-4o & Claude chatbots, autonomous AI agents, RAG & vector search, n8n automation pipelines — AI at the core of your product, not bolted on.
AI Development Services
From simple chatbot integrations to fully autonomous AI agents — we cover the entire AI stack for your applications.
Chatbots & AI Assistants
GPT-4o or Claude Sonnet, trained on your data, deployed as REST API or embedded widget. Support, product assistant, intelligent FAQ — we pick the right model based on your token volume, response quality needs, and cost per request.
Autonomous AI Agents
Multi-step task execution: document analysis, API calls, decisions, database writes. We use LangChain, Anthropic Claude tool-calling, and n8n orchestration to automate complex, repeatable business processes end-to-end.
RAG & Semantic Search
Give AI precise access to your knowledge base. OpenAI or Mistral embeddings, Supabase pgvector or Pinecone, contextual retrieval pipeline. Document chatbots, smart catalogue search, intelligent recommendations — accurate answers from your own data.
AI Automation (n8n & Make)
AI-driven workflows: n8n + GPT-4o for extracting data from incoming documents, classifying tickets, writing personalised emails. Make + Claude for CRM enrichment, report generation, form processing. Measurable ROI from month one.
Vision & Voice AI
Image analysis with GPT-4o Vision, audio transcription with Whisper, text-to-speech for voice interfaces. Document scanning, accessibility features, real-time translation — structured data extracted from visual and audio inputs.
Custom AI Applications
Conversational memory, response streaming, multi-agent orchestration, model fine-tuning on your proprietary data. When AI is the core of your product — not an afterthought — we design the architecture from the ground up.
Our AI stack
The best AI models and tools, combined for each project.
OpenAI GPT-4o — multimodal, fast, excellent for general tasks and image analysis.
Anthropic Claude Sonnet & Haiku — long context, highly reliable for documents and nuanced analysis.
Mistral AI 🇫🇷 — open-source French model, self-hostable in Europe for GDPR compliance.
Framework for building AI agents with memory, tools, and complex reasoning chains.
Open-source workflow orchestrator — connects AI to all your business tools in a few clicks.
Make (ex-Integromat) — visual automations with AI modules for GPT-4o and Claude.
Supabase pgvector — PostgreSQL vector store for AI embedding storage and semantic search.
Pinecone — managed vector database for large-scale RAG applications and high-performance retrieval.
AI use cases we've delivered
AI projects shipped for clients — with measurable results.
AI assistant for SaaS platform
A SaaS client wanted to reduce churn by helping users get more value from the platform. We integrated a Claude Sonnet assistant that answers contextual questions, analyses usage patterns, and suggests relevant features. Result: -40% support tickets.
Product chatbot for marketplace
50,000 product listings analysed via OpenAI embeddings + Supabase pgvector. Users ask in natural language, find the exact product in 2 seconds. Delivered in 4 weeks — REST API + dedicated interface.
Document analysis agent
Automatic extraction of key clauses from PDF contracts. Claude Haiku + n8n + Supabase. Processing 200 documents/hour, structured JSON output, automated alerts on sensitive clauses.
AI MVP in 3 weeks
A founder wanted to validate an AI-powered user feedback analysis tool. In 3 weeks: scraping, GPT-4o classification, analytics dashboard, Vercel deployment. The tool convinced 10 first paying customers.
Our AI process
From discovery to deployment — a proven methodology for AI projects.
Scoping
We analyse your use case, choose the right AI model (Claude vs GPT-4o vs Mistral), and evaluate cost vs benefit before writing a line of code.
Architecture
We design the stack: AI model, vector store, API backend, user interface. Clear technical decisions made upfront — no surprises mid-project.
Development
API integration, prompt engineering, fine-tuning if required, performance testing and accuracy benchmarks against your data.
Deployment
Production release, AI cost monitoring, iterations based on real usage. We stay available for scaling and model upgrades.
FAQ — AI Development Agency
How much does AI app development cost?
Cost depends on complexity. A simple chatbot integrated into an existing app starts from €3,000–5,000. An autonomous AI agent with RAG and a data pipeline is typically €10,000–25,000. A full SaaS platform with end-to-end AI can reach €50,000+. We always provide a fixed-price quote after a free scoping call.
GPT-4o or Claude — which model should I choose?
Claude Sonnet is generally better for long documents, nuanced tasks, and precise instruction-following — it hallucinates less on structured analysis. GPT-4o excels at multimodal tasks (image analysis), code generation, and general-purpose use cases with broad tool support. In practice, we test both on your specific use case before committing to one.
What's the difference between a chatbot and an AI agent?
A chatbot answers questions in natural language — it searches a knowledge base and formulates a response. Useful for support and FAQs. An AI agent goes further: it can make decisions, execute actions (send emails, update databases, call third-party APIs), and chain multiple steps to complete a complex task autonomously. Agents are more powerful but require more rigorous reliability engineering.
Are our data safe with OpenAI or Claude?
Data sent via the OpenAI and Anthropic APIs is not used to train their models (unlike consumer interfaces). For strict GDPR requirements, Mistral AI — founded in Paris — offers models that can be self-hosted on European servers or your own infrastructure. We recommend the right approach based on your data sensitivity and regulatory context.
What's the difference between generative AI and predictive AI?
Generative AI (GPT-4o, Claude, Mistral) produces content — text, code, images, natural language answers. It powers chatbots, agents, and content generation. Predictive AI analyses historical data to forecast an outcome: lead scoring, fraud detection, product recommendations. The two approaches are complementary — we build hybrid systems where your use case demands it.
Ready to build with AI?
Book a free 30-min call. We analyse your use case, choose the right model, and provide a fixed quote in 48h.
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