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Project Portfolio

We bring the power of mathematical modelling to every industry, 
turning unpredictable operations into reliable decisions. 

No shying away from size—our clients are as small as a two-person startup, up to a global industrial player.

turned-on MacBook Pro
AdExchange Dynamic Pricing

Before Adapting, for the AdExchange of a tech scale-up, we implemented real-time models to optimise Header Bidding auctions in programmatic advertising.

Prices adapted to seasonality and competitors changing their strategy, boosting margins and stability.

a large machine in a large building
Decrease Manufacturing Rejection Rate

In the manufacturing process of a a regional plant of a global automotive group, identify drivers of quality-test rejections using causal analysis.

Optimising process parameters to reduce defect rates and downtime while increasing throughput.

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Forex Alpha Strategy

Before Adapting, in a quantitative finance firm, we built a strategy to trade currencies in Forex (FX), for a European investment institution. 

Live performance within expectations, providing a diversified source of returns, decorrelated from equities and bonds.

a computer screen with a web page on it
LLM Pipeline Optimisation

For a sales-intelligence startup, model accuracy had stalled. We rebuilt their experimentation pipeline with clear metrics and structure.

This led to faster and reliable improvement in early stages of development iteration.

Our building bricks

AI integration
New tools are available that didn't exist before. 
Deal with unstructured data the right way, with sound and robust integrations with existing LLM models and MCPs.
Real-time optimisation
Models that make decisions as conditions change—at the right time scale. 
Whether it’s adjusting production parameters or bidding prices, react faster than dashboards ever could.
Machine Learning techniques
Leave behind fixed rules or manual adjustments, welcome algorithms and data-driven automation.
From detecting anomalies, forecasting time series, or dealing with large datasets rich in features, our models evolve with your operations.

Adapting's flavour

Probabilistic forecasting
Perfect forecasts don’t exist—but reliable confidence intervals do. 

Probabilistic forecasting quantifies uncertainty, showing what is likely to happen and how sure you can be.

Our models express reality in probabilities, allowing you to plan production, logistics, or pricing with measured risk.

Mathematical modelling
Data is great, but it is only half of the story, true anticipation comes from the expert-machine duo.
Domain knowledge extends raw data through mathematical modelling.
This bridges the gap between what’s observed and what’s possible — guiding decisions even when data is scarce or changing rapidly.
Causal discovery
Causal inference is the science of making decisions effective.
Causal discovery identifies the true levers driving your metrics, so you can intervene where it matters.

We uncover cause-and-effect relationships hidden in your processes, helping you optimise the factors that genuinely change outcomes.