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Predictive analytics
Anticipate market trends, customer behaviour and operational risks. Our models train on your historical data for reliable forecasts.
Enterprise AI · engineering, not magic
Enterprise AI
is not magic.
It's engineering.
Predictive analytics, conversational agents, process automation. We start from your real data, we prototype, we measure — then we deploy. No hype, no black box.
GDPR Hosting & processing within the European UnionModels Open-source options — you stay in control, no black boxMethod Prototype first, deploy later — you decide at every stepCode Documented, reversible solution, no vendor lock-in
Diagnostic · transparent calculation
Is this process ready for AI?
Adjust the four sliders to match your reality. The score and its formula update live — it's a decision-support grid, not a promise.
57/ 100
Possible, in stages
Automation is feasible but requires groundwork: clean up the data, clarify the rules, keep a human in the loop.
The formula, in plain terms
- Task… 60 × 0.35
- Structured… 55 × 0.3
- Clear… 50 × 0.2
- Tolerance… 60 × 0.15
- Weighted sum = 57 / 100
Weightings chosen to stay conservative (volume and data quality come first). The whole calculation runs in your browser — no data is sent or stored.
ROI Calculator · client-side
Is this project financially viable?
Enter four figures from your reality. The calculator projects annual savings, payback period and FTE gain — live in your browser, no data sent.
Projected annual savings€16,380/ year
Payback period11months
Productivity gain0.2FTE — full-time equivalent freed up
The calculation, transparent
- Annual savings = Hours/week × 52 × Automation rate × Hourly cost
- Payback (months) = Budget ÷ (Annual savings ÷ 12)
- FTE gain = (Hours/week × Automation rate) ÷ 35 h/week
These are projections based on your inputs — not guarantees. Real results depend on data quality, process complexity and integration scope. Validate with a prototype first.
Solutions
Which AI building blocks for your business?
From simple automation to predictive models. We target high-return cases, not technical demos.
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Advanced conversational chatbot
Natural language understanding, contextual memory, continuous learning. Your customers converse as if with a human — 24/7.
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Process automation
Smart workflows that connect your tools (CRM, ERP, email). The AI decides, executes and optimises on its own. No more manual work.
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Data extraction
Scan thousands of documents (PDFs, images, emails) and extract the key information automatically. Invoices, contracts, forms — any format.
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Customer personalisation
Product recommendations, dynamic content, tailored offers. The AI analyses each visitor's behaviour and adapts your site in real time.
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Anomaly detection
Fraud, data-entry mistakes, suspicious behaviour. The AI monitors your flows continuously and alerts you instantly to anomalies you can't afford to miss.
Method
From scoping to follow-up, in plain terms
- 01
🎯 Scoping and proof of concept (1 week)
We analyse your data, define the priority use cases and build a working prototype. You see the results before you invest.
- 02
🛠️ Development and integration (2-4 weeks)
We industrialise the solution, integrate it with your existing systems and test it in real conditions. Training for your teams included.
- 03
📊 Performance monitoring and continuous optimisation
We measure the KPIs, fine-tune the models and deliver monthly reports. Results guaranteed or free adjustments.
"First prototype in 14 days" is our methodological commitment (a testable deliverable), not a performance guarantee: results depend on your data.
Frequently asked questions
Enterprise AI, straight to the point
How long does an AI project take?
A working prototype in 14 days, a full deployment in 4 to 8 weeks depending on complexity. We work in agile mode: you see results progressively and can adjust course at any time.
Do you need a lot of data for AI to work?
Not necessarily. Some models work with just a few hundred examples. If you have little data, we use transfer-learning techniques or pre-trained models. We advise you on collecting additional data if needed.
How do you guarantee data security?
Hosting in France (OVH, Scaleway, AWS Europe), end-to-end encryption, anonymisation of training data, GDPR built in. We sign a confidentiality and data-processing agreement compliant with the strictest standards.
What is the typical return on investment?
Our clients see a return within 3 to 6 months. Concrete examples: an 80% reduction in time spent on administrative tasks, a 40% increase in conversion rate, a 50% saving on customer-service costs. We measure everything with you.
Contact
Let's scope your AI project
Free first conversation to analyse a concrete use case. Reply within 24h, no commitment.
- We start from a specific process, not a fantasy of total AI
- We tell you honestly whether it's relevant — or not
- Minimised data, EU hosting, reversible approach