AI inside your product,
not beside it.
AI agents, chatbots, automations. Built for your business, deployed in your infra.
What these solutions actually do
An agent that qualifies your leads
It reads incoming emails, analyzes the need, scores the prospect and prepares a personalized response. Your sales team only handles hot leads. Stack: Claude API, MCP, CRM integration. Prototype in 2 weeks.
A chatbot in your mobile app
Connected to your product catalog and customer history. It answers, advises, escalates when needed. Natively integrated into iOS and Android. Stack: Claude API, RAG on your data, mobile SDK. Timeline: 4 to 8 weeks.
An internal tool that automates your reports
It collects data from your tools (CRM, ERP, sheets), generates the weekly report, and sends it to the right people. Every Monday morning, no intervention needed. Stack: Python, Claude API, MCP connectors. Delivered in 2 to 4 weeks.
A web platform with embedded AI
Semantic search, automatic summarization, extraction, content generation. AI building blocks integrated into your product, invisible to your users. Stack: TypeScript, Astro/React, Claude API, PostgreSQL. Timeline: 1 to 3 months.
The method
Scoping
What problem, what constraints, what tools in place. Deliverable: scoping document.
Proposal
Technical choice, scope, timeline, budget. Deliverable: detailed proposal.
Build
2-week sprints, demo at each iteration. Deliverable: solution tested in your environment.
Follow-up
Fixes, iterations, handoff. Deliverable: documentation + 30-day support.
The tools we use
Claude API / Agent SDK
Core AI engine. Reasoning, generation, analysis.
MCP (Model Context Protocol)
Connection to business tools: CRM, databases, internal APIs.
Local models (Ollama, Mistral)
When data must stay on your servers.
Python / TypeScript
Backend and automation. Every project is delivered with its source code.
Frequently asked questions
How much does a custom AI solution cost? +
Every project is quoted on a bespoke basis after a free scoping call. Scope depends on complexity, integrations, and desired level of polish.
Who owns the code? +
You do. Source code, documentation, and access credentials are delivered at the end of the project. No lock-in, no recurring license on our work.
Can we use a local AI for sensitive data? +
Yes. We deploy local models (Mistral, Qwen via Ollama) directly on your servers or workstations. No data leaves your infrastructure. See our sovereign architecture offering.
How long for a prototype? +
2 weeks for a working prototype tested in your environment. Full deployment takes 1 to 3 months depending on scope.
Pricing
Describe your project. Response within 48 hours with an estimate and proposed approach.
Direct conversation with the founder.