We design, build, and operate production machine learning systems for businesses. From recommendation engines to computer vision, we bring proven AI techniques into real products and real workflows.
We develop personalized recommendation features for e-commerce sites, media platforms, and consumer services. Our work covers the full lifecycle — data pipeline design, model development (collaborative filtering, learning-to-rank, embedding-based retrieval), offline evaluation, A/B testing, and serving infrastructure that scales with your traffic.
We apply computer vision to make internal business operations faster and more reliable. Typical engagements include:
Every engagement starts from your business problem, not from a technology. We scope a proof of concept in weeks, validate it against your real data and metrics, and only then invest in production engineering. Our team stays through deployment and operation — models that are monitored, retrained, and actually used.
Have a problem that looks like a fit? We would love to hear about it.
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