Phasing

Phasing is an applied research lab working on the intersection of AI and the industrial world.

The next generation of organisations will be model-centric, built around robust data, and increasingly autonomous. Right now, productivity is held back by agonizingly slow processes, opaque data flows and insights trapped in one part of an organization. AI models are limited in their usefulness, lacking visibility into informal handoffs and a deeper understanding of technical execution and management of long-running, complex projects.

We are working across industries to change that. We study research, engineering and operations as they are actually practised, define what competent execution looks like, and build the settings in which AI systems can be measured against it. An AI model can read a specification and reason about a deviation. It cannot yet carry the long chains of judgement an expert reviewer requires, or anticipate and execute the number of small interventions that a manager needs to steer all the different actors in a program. These skills cannot be taught from literature. They live in the records of past projects and experiments: the issue that gets raised, the escalation that gets made, the deviation that turns out to matter. We start by capturing these learnings, where AI can learn as much from failures as from successes, and make the process more interpretable, robust, and scalable.

Our aim is not to replace human ingenuity, but to enable AI that is a better partner to humans in the process of industrial discovery and development.

We are a team of AI researchers, engineers, scientists, and operators. If you believe that rigorous, creative collaboration can solve the most meaningful problems, we would like to talk.