Predictive Analytics & AI
Turn your data into smart decisions
Machine-learning models, smart dashboards and predictions that turn your data into a competitive advantage — without complex infrastructure.
Custom Predictive Models
We develop machine-learning models that predict customer behavior, product demand, churn risk, preventive maintenance and more. We use BigML and open-source tools to make it accessible.
Smart AI Dashboards
We don't just visualize data — we make it intelligent. Dashboards that automatically detect anomalies, suggest actions and trigger predictive alerts when something deviates from expected.
Unstructured Data Analytics
Emails, support tickets, surveys, social media — we analyze text with NLP to extract sentiment, trends and patterns invisible in tabular data.
Data Strategy and Governance
Before predicting, you need clean and organized data. We help you define your data strategy: what to collect, how to store, how to govern it and how to turn it into value.
🔗 Related services: Predictive Analytics feeds AI Agents with real-time predictions and powers Intelligent Automation by anticipating which processes need attention. Our AI Strategy Consulting identifies what data you have and what you can predict.
Process
How We Work
We Listen
Your context and objectives.
We Design
Clear scope and costs.
We Execute
Short sprints, frequent demos.
We Support
Continuous support and evolution.
FAQ
Frequently Asked Questions
Do we need to have a data warehouse?
Not necessarily. We can work with the data you already have in your systems (ERP, CRM, databases). If you need a data warehouse, we help you design it.
How much data do we need?
It depends on the case. For basic predictions, 6 months of historical data is usually enough. For more sophisticated models, 1-2 years is ideal.
How does it connect with AI Agents?
AI agents can query predictive models in real time. Example: a support agent that predicts whether a ticket is going to escalate before it happens.
What tools do you use?
BigML for accessible models, Python (scikit-learn, pandas) for custom development, and visualization tools like Streamlit and Grafana.