We Solve Data Problems
Others Can’t.
Bespoke solutions for complex data. We untangle your hardest datasets, combining rigorous statistical modelling and deep domain insight to deliver the clarity and confidence you need to make critical decisions.
Find Your SignalBeyond the Dashboard
Our mission is to help organisations move beyond standard reports and off-the-shelf models. We customise rigorous data science to find the true signal in your data, every time.
Tailored Rigour
We move past off-the-shelf models. Our solutions are custom-engineered for your unique problem, founded on deep statistical rigour and academic excellence.
Uncommon Expertise
Specialising in the hard problems, the edge cases, the non-linear challenges, and the datasets that defy simple answers.
Actionable Clarity
Our goal is to move you from doubt to decisive action. We isolate the true signal, packaged either as an immediate strategic recommendation or a prioritised data acquisition roadmap, giving you the certainty needed to invest confidently in the solution.
When Standard Methods Break
Most machine learning assumes abundant data, Gaussian noise, and common events. Real systems often violate all three. We develop alternatives grounded in statistical physics that handle these pathological cases rigorously.
Rare Event Prediction
Equipment failures, critical defections, extreme events - when the outcome you care about is infrequent but critical, standard classification breaks down.
Applications: Aerospace maintenance, subscription churn, climate extremes
High-Dimensional Sparse Data
Many sensors, few measurements. Feature spaces with thousands of dimensions but only dozens of samples. Requires dimensionality reduction that preserves interpretability.
Applications: Sensor networks, industrial IoT, medical diagnostics
Non-Gaussian Distributions
When your data exhibits power laws, heavy tails, or Lévy processes, Gaussian assumptions produce systematically wrong answers. We respect the true statistical structure.
Applications: Financial time series, turbulence, network traffic
20+
Years Research Experience
Statistical physics, complex systems, ML
PhD
Statistical Physics
European Horizon 2020 Fellow
UWE
Senior Lecturer, Data Science
Programme Leader, published researcher
Led by Dr. Ignacio Deza, combining academic rigor with rapid domain absorption to solve problems where conventional data science approaches have been tried and failed.
Our Bespoke Solutions.
Data Science
Focused on the application of advanced machine learning techniques to untangle unstructured or highly complex data sets where standard models fail.
- Advanced ML/AI implementation
- Predictive and Causal Modelling
- Complex data feature refinement
Statistical Modelling
The deep mathematical foundation for decision-making. We model beyond simple regression to robust experimental design and causal inference.
- Causal Inference & A/B Testing Design
- Bayesian Methods
- Time-Series and Forecasting
Decision Support
Transforming complex models into clear, prescriptive insights that directly drive strategic organisational decisions and tactical execution.
- Prescriptive Analytics Frameworks
- Data Storytelling & Visualisation
- Model interpretation and explainability
Clarity, Engineered. Our Process.
1. Diagnosis (The Noise Map)
Deep-dive consultation to precisely quantify the problem, map data complexity, and establish clear, measurable decision outcomes.
2. Modelling (Signal Isolation)
Development and rigorous validation of the custom-built statistical or machine learning model, ensuring unmatched accuracy and robustness.
3. Translation (The Insight Bridge)
Complex output is transformed into clear, actionable, and decision-ready narratives and intuitive tools for your leadership.
4. Deployment (The Confident Decision)
Ensuring the solution is scalable and integrated, providing your team with the unshakeable confidence to act decisively.
Ready to Solve Your Hardest Data Problem?
Start a conversation about a Bespoke solution designed specifically for your organisation.