V7 allows you to label, train, and deploy vision AI models and handle your team's ML-Ops stack.
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Yield Estimation

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Grapes annotation for yield estimation using computer visionGrapes annotation for yield estimation using computer vision

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From the Blog

ML-Ops defines your accuracy. We help you grow it to 99.9%.

AI performance shouldn't stop at the first training session.
Sync your product with a dataset and continually improve your AI performance by turning its output into new ground truth. Continual learning will allow your models to surpass 95% accuracy barriers and reach 99% and above as more data from your use case or product is supervised by humans, and learnt by your AI.

v7 neurons product
Your product
accurate labeling with v7 darwin
Fast labeling on V7 Darwin
image dataset
Newly collected images or video
model training and pruning
Training & active learning

Ready to get started?

Schedule a demo with our team or discuss your project.

Dataset Management

AutoML model training to solve visual tasks or auto-label your datasets, and a scalable inference engine to launch your project.