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    ML systems

    Machine learning that ships and stays working.

    Custom models, computer vision, and predictive systems — trained on your data, deployed behind reliable APIs, and monitored once they're live.

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    What we do

    A model in a notebook isn't a product. We take ML from data audit through training and evaluation to a production service with logging, versioning, and monitoring, so you know when accuracy drifts and can retrain.

    Typical work includes image and document recognition, demand and churn prediction, recommendation, anomaly detection, and automation of repetitive judgement calls.

    Custom model training

    Data preparation, model selection, training, and honest evaluation against metrics that matter to your business.

    Computer vision

    Detection, classification, OCR, and quality inspection from images and video.

    Inference APIs

    Fast, versioned APIs that your apps call, deployed on infrastructure you control.

    Monitoring & retraining

    Drift tracking, alerts, and repeatable retraining so quality doesn't quietly decay.

    Tools we use

    • Python
    • PyTorch
    • scikit-learn
    • Docker
    • PostgreSQL
    • Redis
    • REST APIs

    “A few projects where we shipped ml systems for real clients.”

    Proof

    Work in this area

    Common questions

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    Ready to talk about ml systems?

    Tell us what you're building. We'll reply with a clear scope and honest timeline within one business day.

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