Machine Learning APIs to automate human visual inspections.

Build custom models to

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Quality control products before they leave the production line.

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02

Spot & identify defects in utility infrastructure.

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03

Verify Insurance claims.

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04

Assess the quality of the harvest.

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05

Inspect parts for defects in your production line.

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Why Nanonets

Fast

Cut down the manual inspection time from hours to seconds using AI-powered automation. Analyze each image in milliseconds, maximizing the time for taking corrective measures which can also help increase throughput.

Accurate

Train state-of-the-art deep learning models on you own data ensuring highest accuracy compared to publicly available models or ready-to-use solutions.

Consistent

Get rid of the subjectivity in human judgement while inspecting objects for non-trivial defects. Be assured of consistency in reports for the same inspection data.

Scale

Robust autoscaling capable of analyzing billions of images each month. Scale your compute requirements to meet your desired throughput.

Flexible

Deploy trained models on-prem using Docker images ensuring that your data does not have to leave your network or deploy models on our production optimized cloud instances for maximum performance.


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