Systems that watch millions of live signals, forecast drift, hold operating envelopes, and explain every conclusion.
Axiom reconciles PI, SAP, and every maintenance record into one living knowledge graph, then keeps agents watching it around the clock, so the asset record never drifts from the plant again.
Catalyx builds AI products for oil & gas operators across the Middle East and the world: systems that watch millions of live signals, forecast drift, hold operating envelopes, and explain every conclusion. Trained on your data. Constrained by physics. Valuable from day one.
Most industrial AI treats the plant as a dataset. We treat it as a physical system first, then let the models earn their place.
Thermodynamics, reaction kinetics, and transport phenomena anchor every model. Physics-informed learning constrains predictions with mass and energy balances, so they hold when conditions drift beyond the training data.
Our people come from control rooms, turnarounds, and reliability programs, not slide decks. We know what a bad alarm shelf costs, what a spurious trip does to a quarter, and what a good insight is worth.
Agentic pipelines, causal inference, and Bayesian survival modeling, applied where they compound the physics and the field experience, never as a substitute for them. Every enriched value traces to a source document.
Each one is a research method made operational: pre-built for oil & gas, deployed on your data platform, inside your security perimeter.
The hardest 80% of industrial AI is the data engineering nobody sees. Catalyx agents do that work: discovering schemas, resolving tags to assets, validating quality, keeping pipelines current, so advanced data science starts on day one, not month nine.
Time-series, transactional, and unstructured data, contextualized into a single asset-centric model by the Foundry agents.
Catalyx Technology was established in Doha, Qatar by engineers who spent their careers inside oil & gas plants: commissioning units, running control rooms, and leading reliability programs. That background is our unfair advantage: we build for the constraints of real operations, and we serve operators across the Middle East and worldwide.
Bring a sample of plant data to the first meeting. We'll bring the science, the engineers, and the agents, and show value against your own baseline.