[
our philosophy
]
We believe that within every organization lie hidden fundamental truths — Black Axioms — which, once uncovered, unlock new levels of performance.
These truths are not abstract ideas. They are embedded in operational data, system constraints, asset behavior and decision patterns. They define how performance is truly generated — or lost — across the organization.
In energy and logistics, complexity often obscures these underlying drivers. Fragmented systems, siloed data, and reactive management make it difficult to see what truly determines cost, efficiency, reliability, and margin.
Our work focuses on uncovering these Black Axioms — transforming raw operational data into decision-grade intelligence that reveals where performance can be optimized and sustained at scale.
Founder & CEO
Albert Celma
Albert is a Computational Scientist trained at Imperial College London, with experience applying AI to performance-critical operations across energy, logistics and finance. He has worked with Tech Data (Fortune 100) and Nadara Energy (backed by J.P. Morgan), designing and deploying AI-driven solutions for logistics optimization and Wind turbine predictive maintenance. He has also collaborated with leading fintech Belvo, backed by Citi Bank, developing credit-scoring and risk models and partnering with FICO. Beyond technical work, Albert has hands-on operational experience running a family-owned transportation business, where he led a +50% EBITDA increase in under two years through data-driven operational improvements.
From Data to Operational Intelligence.
Advances in applied AI, optimization, and computing now make it possible to transform raw operational data into systems that continuously improve real-world decisions. This shift is not theoretical. It directly impacts cost structures, asset utilisation, reliability, resilience, and ultimately business performance.
INSIGHTs
An Axiomatic
Approach to Performance
Why reverse engineering processes and applying AI locally beats foundational models
