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COMPUTER VISION

More models into production, faster

We convert your deep learning computer vision models into model inference packages, automatically producing a Docker image that’s deployable into production.

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REDUCE COSTS & LATENCY

Reduce costs while meeting business and customer needs

The OctoML Platform accelerates and benchmarks your computer vision models for your chosen targets, allowing you to meet technical or business SLAs and improve your user’s experience.

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Video content moderation

Analyze images, videos, live streams, and other media content in real-time or offline batch processing. When model updates are inevitably required, deploy your retrained model quickly with our automated tooling and workflows.

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Medical imaging

Analyze medical images like x-rays, MRIs and CT scans with speed and accuracy — without uploading private data to the cloud.

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Smart cameras and computational photography

Optimize and deploy your ML models in the cloud to achieve a high-frame rate object detection and lower energy usage.

OPTIMIZE & DEPLOY

Upload your model for automated optimization

OctoML has certified vision models for successful ingestion and acceleration, including the most popular models: YOLOv5, MobileNetv2, and ResNet. You can automatically optimize your model across 5 acceleration engines and choose from over 80 cloud targets.

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Microsoft Customer Case Study

With Apache TVM, Microsoft Research develops and serves the latest computer vision algorithms on live streams

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OCTOML BLOG

Read about our work

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WE SIMPLIFY ML DEPLOYMENT

Faster machine learning everywhere

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Accelerate Your AI Innovation

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