Built by engineers, not resellers
Most of what we do is applied machine learning — training models on a client's own data, then getting them into production where they actually earn their keep. The security practice grew out of the same team, which is why our models ship hardened rather than exposed.
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Models trained on your data
Not a generic API wrapper. We collect, label and clean your dataset, then train and evaluate against the metric that matters to your business rather than whatever looks good on a slide.
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Deep learning where it earns its place
Transformers, CNNs and sequence models when the problem genuinely needs them — and a gradient-boosted tree when it doesn't. We'll tell you which one you're looking at.
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Data analysis before modelling
Every engagement starts with exploratory analysis and honest data quality reporting. Half the time it reveals the problem doesn't need a model at all — and we say so.
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Deployed, monitored, retrained
A model that sits in a notebook is worth nothing. We ship inference endpoints, track drift against live data, and set up the retraining loop before we hand over.
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Security built in
Led by a certified penetration tester, so model endpoints, training data and the infrastructure around them are hardened as part of delivery — not audited by someone else afterwards.
