Independent research in computing & machine intelligence.
We are a research and engineering organization working on computer science, machine learning, embedded systems, and aerospace — from the questions underneath them to the systems that put the answers to work.
Where the work happens.
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01
Machine learning
Models, training methods, and the evidence behind them. We study how learning systems behave, where they fail, and how to make them more capable and more dependable.
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02
Systems & infrastructure
The software and compute beneath modern learning: data pipelines, efficient training and inference, and the engineering that keeps research reproducible.
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03
Algorithms & theory
Formal understanding of computation and learning — careful analysis that tells us what should work before we spend compute finding out.
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04
Applied engineering
Turning research into dependable software: prototypes, tools, and reference implementations built to be used, inspected, and extended.
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05
Embedded systems
Software and firmware close to the hardware: real-time control, resource-constrained computing, and dependable operation on microcontrollers and edge devices.
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06
Aerospace
Guidance, navigation, and flight software — modelling, simulation, and the avionics systems that carry research into the air and beyond.
How we work.
Questions before tools
We begin with a precise question and choose methods afterwards — not the other way around.
Evidence over claims
Experiments are designed so they can fail, measured honestly, and written up so someone else can reproduce them.
Engineering as method
Building the system is part of the research. Careful implementation is how ideas actually get tested.
Published work.
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01
EEG Brain State AI Guide
Research by Anuj Raha · Visrodeck Technologies.