Most EdTechs show testimonials. We show systems.

Every project below is real — built for aerospace, manufacturing, and industry. This is the standard apprentices are trained to.

Projects

The aircraft window of the quality explorer: a 3D wing coloured by predicted pressure coefficient, with the lift-to-drag readout beside it
Materials

Physical AI for Design & Material

Applied R&D with a global Tier-1 automotive manufacturer · 2022–2026

CAD goes in, a graph neural network learns the part’s physics, and the shape itself becomes something an optimiser can search — in minutes.

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Dark telemetry plot of NASA SMAP channel A-4 with the model prediction overlaid and the detected anomaly window highlighted
Aerospace

Satellite Telemetry Anomaly Detection

German Aerospace Center (DLR), Köln · 2021

Catches failure precursors in satellite telemetry — and refuses to trust its own alarm when the evidence is contaminated.

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A frame of the live BEWiS run: the camera view of objects being placed on a table beside the foreground mask the network extracted from it
Manufacturing

BEWiS — Weightless Neural Networks on GPU

Fraunhofer FKIE, Wachtberg · 2019–2020

Real-time background subtraction that learns what "normal" looks like from the video itself — no training set, no labels.

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Battery enclosure surface coloured by predicted warpage beside the optimiser’s recommended charge layout and process parameter panel
Manufacturing

Physical AI for Process

Applied R&D with a global Tier-1 automotive manufacturer · 2022–2026

You bring the CAD. The geometry is never assumed — the process window is optimised for the part you actually upload.

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A frame of the finite-element run: the parison sagging and swelling against the mould, beside the resulting wall-thickness distribution
Manufacturing

Blow-Mould Wall Thickness — FEM in Seconds

Applied R&D with a global Tier-1 automotive manufacturer · 2022–2026

A neural network reproduces a 45-minute finite-element wall-thickness simulation in seconds — and the comparison shows where it still disagrees.

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A warpage-versus-temperature curve with two basins, sampled points, and a highlighted best-so-far result
Methods

Optimisation

Lab teaching track · used across the design, material and process work

Every project on this page ends in the same question: of all the settings you could choose, which one do you actually run? This is how that gets answered.

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Zoning and master-plan overlay over a satellite basemap: road hierarchy, land-use colours and sector boundaries — the layers the engine scores a plot against
Spatial

Land Decision Engine

Independent build · 2025–2026

Turns "should I hold, build on, or sell this plot — and when?" into a scored, auditable answer.

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The impact-propagation knowledge graph from the running platform: companies and sectors as nodes, supply relationships as the edges demand pressure travels along
Finance

Market Research Dashboard

Industry collaboration · 2025–2026

A market analysis platform built to be honest about what it cannot know — and audited until it was.

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