Who You'll Work With
With over 10+ years building ML systems for operational decisions—forecasting, optimization, and decision support in finance, logistics, and industrial operations.
A graduate of Telecom ParisTech, Nicolas has built production ML systems at BNP Paribas (quantitative finance), Rappi (logistics optimization), and for industrial clients across Latin America and Europe.
He founded Sonarium AI to work on the problems he finds most interesting: complex operational decisions where better forecasting and optimization translate directly into measurable business outcomes.
“The best ML systems aren't the most sophisticated—they're the ones that operators actually trust and use. That means explainability, reliability, and integration with how decisions are really made.”— Nicolas Debaene, Founder of Sonarium AI
Industries We Serve
We work with companies where operational complexity meets quantifiable decisions— industries where better forecasting and optimization translate directly to margin improvement.
Commodities & Agriculture
Price forecasting. Production mix optimization. Hedging strategy support.
Who We Work With
Producers, traders, and processors navigating price volatility and production flexibility.
Typical Use Cases
- →Multi-horizon price forecasting
- →Production mix optimization
- →Inventory and storage decisions
- →Hedging signal generation
Logistics & Supply Chain
Demand forecasting. Route optimization. Capacity planning.
Who We Work With
Freight forwarders, fleet operators, distribution networks—where operational efficiency directly impacts margins.
Typical Use Cases
- →Demand forecasting by SKU/route
- →Dynamic routing and scheduling
- →Fleet and capacity optimization
- →Lead time prediction
Manufacturing & Industrial
Production scheduling. Yield optimization. Predictive maintenance.
Who We Work With
Process manufacturing, discrete production, industrial operations—where throughput, quality, and downtime are measured in dollars per hour.
Typical Use Cases
- →Production schedule optimization
- →Yield and quality prediction
- →Maintenance timing optimization
- →Energy and resource allocation
Finance & Trading
Quantitative signals. Risk modeling. Portfolio optimization.
Who We Work With
Commodity trading desks, asset managers, treasury operations—where better models mean better returns.
Typical Use Cases
- →Alternative data integration
- →Factor model development
- →Risk and scenario analysis
- →Execution optimization
See If We're a Fit
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