AI integration for business: agents, RAG and automation, where the gain is measurable.
We start from your business objective, not the technology. AI is one option among others, not an automatic answer.
You'll be talking with Rahim Gharbi- Free, no-obligation call
- No sales middleman
Not every problem needs AI
We recommend conventional software or deterministic automation when it's simpler, more reliable, and cheaper. AI is only integrated when it creates measurable value.
What we can build
AI agents, semantic search and RAG over your documents, data extraction, support assistance, automation of repetitive tasks: AI serving your product and your teams.
Everything is integrated with your existing tools (CRM, ERP, databases, APIs). That integration is what creates value day to day.
A chatbot is not an AI strategy
Adding a conversational interface doesn't automatically create value. We identify where AI improves speed, quality, access to information, or automation.
From prototype to production
An AI demo is easy. A reliable system needs continuous evaluation, permissions, monitoring, fallbacks, cost control and integration with your data.
How we work
01Discovery
A call, then a workshop to set scope, budget and priorities.
02Design
Mockups and technical choices validated with you, before any code is written.
03Development
A testable version within the first weeks, with regular demos.
04Testing & QA
Every release tested before it goes live.
05Deployment
Go-live on hosting in your name, which we set up for you.
06Maintenance
Fixes and new features, with the same team.
Frequently Asked Questions
Not always. We first check whether regular software or simple automation does better. AI only comes in for a measurable gain.
Yes, that's the most common case: we integrate it into your existing architecture, after a quick audit of the integration points.
Yes. Privacy and permissions are defined in the architecture: anonymization, dedicated hosting or a model that doesn't train on your data, depending on your context.
Whichever fits your use case, costs and privacy constraints. No single default provider, and we revisit the choice over time.
Yes. The AI logic is isolated from the rest of the architecture to limit dependence on any one provider.
By design: verifiable sources, structured outputs, guardrails, continuous evaluation and fallbacks when confidence is too low.
With criteria set before deployment and measured continuously: accuracy, response time, human escalation rate, depending on your use case.
It depends on volume. We control costs from the design stage: model choice, caching frequent answers, usage limits.
Yes: internal search, support assistance, task automation. Simpler to deploy than a customer-facing product, with immediate time savings.
Yes, and it isn't always AI: simple automation is sometimes enough and cheaper. We recommend the simplest option that works.
What happens after you click
A 30-minute conversation
You tell us where you stand, we ask the right questions. It's free.
Concrete feedback
Options, a ballpark estimate and the points to watch out for, without jargon.
You decide
Move forward with us, on your own or with someone else: no strings attached.
Ready to launch your project with the right team?
A clear plan or just a hunch: in 30 minutes, you leave with concrete next steps and a first ballpark estimate.