Field solvers
Inflow meeting a solved pressure field. Steady and transient, with surrogates for the loops that would otherwise take a week.
AI Advanced IncModelsFrame · Generate · Simulate · Judge · Build
Model architecture
Solvers that know the physics.
A generated geometry that cannot be manufactured is a picture. We work the whole chain — framing the problem, searching the space, and proving the result against the process that has to make it.
01
A billion candidates in, a handful out.
Where a team prototypes five ideas, this pipeline prototypes five million in simulation. The volume collapses at every stage, and judgment sits last — where it is human.
01 FrameWrite the brief as a formal object
Objectives, hard constraints, soft preferences, success criteria, and the tacit requirements no model would infer. A model is extraordinary at solving a problem and almost incompetent at choosing which problem to solve, so this is the highest-leverage hour in the programme — spent with your engineers rather than away from them. Human-led.
02 GenerateSearch the space
Generative geometry, topology optimisation and compositional search, proposing candidates at a volume no team could draw and outside the tradition any of them trained in.
03 SimulateEvaluate without building
Structural, thermal and fluid simulation, with surrogate models where full physics is too slow. This is what collapses the cost of exploration — and manufacturability is a constraint here, not a downstream surprise.
04 OptimiseBalance every objective at once
Twenty or fifty competing objectives held simultaneously, against the four or five a person can hold. The result is a Pareto set, so the trade-off is visible instead of assumed.
05 JudgeChoose, and defend the choice
We present the ranked set with the reasoning attached: what each candidate optimises, what it sacrifices, and where the model may have been blind. Your team decides, and the decision is documented as an engineering artefact. Human-led.
06 BuildManufacture and qualify
Metal additive manufacturing, process parameter development, post-processing and inspection — so an unfamiliar geometry becomes a part with a paper trail. Human-led.
02
What the physics looks like inside the model.
Meshes, vector fields, contours and wavefronts — physics held in a form a machine can search, and not one neural-net cliché.
Adaptive meshing
One triangle refined where the gradient is, and left alone where it is not — the difference between a model that runs and a model that finishes.
Lattice & material design
Cell-level geometry designed against the load path, including alloys and process windows that intuition did not point toward.
Optimisation traces
Every run is recorded as a path, not a result — so a reviewer can see which constraint bound the answer and where the search stopped.