Put AI to Work

Leapfrogging by Design

AI is changing. Leverage the most versatile, extensively pre-trained model for visual understanding and adapt it to your new task. Experience the easiest neural network training on the market to generate a perfect understanding of your domain. Discover how V7 can adapt to your image data in a few clicks.

All-Task Output

V7 Neurons is built to handle any vision output with equal performance, whether it's simple classification, object detection, keypoint skeleton fitting, or all of the above.

Optimal Training

Each training session tests hyper-parameters and image augmentation techniques to find the optimal solution to an open-ended problem.

Continual Learning

Accuracy doesn't stop at the first training session. Capture more data in production, route it to a dataset for annotation, and add more knowledge to your model for its next training session.

Learn how to create training data ➜
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 & continual learning

Instant Inference

Run models in the cloud on the scale-agnostic NJORD engine, switch on a webcam, and view the results right from your browser. Testing and running neural networks has never been easier.

See What's Possible

life sciences AI

Life Sciences

Microscopy

Cells, microorganisms, clusters, in bright and dark microscopy
Learn More

Pipetting

Liquid levels and impurities
Learn More
Manufacturing computer vision

Manufacturing

Defect Inspection

Small and uncommon defects
Learn More

Materials Science

Rust, wear, and materials analysis
Learn More

Protocol Logging

Assembly step sequence understanding
Learn More
Agri Tech computer vision

Environmental

Plant & Field Agriculture

Plant growth and yield
Learn More

Livestock & Wildlife

Livestock and wildlife health
Learn More

NJORD AI Resource Management

Like the wind, compute needs for AI can be unpredictable.

NJORD is a cloud-based routing system to manage AI model training and inference pipelines for thousands of concurrent requests within V7. Once your models are running, NJORD will monitor their load as users grow. If models are close to their server's capacity, it will spin up a new instance (or back down) to keep them running at any scale.
NJORD also handles the training of V7 models, by allocating GPU resources that match the size of your dataset. As your project grows and relies on more visual data to learn, you won't have to worry about upscaling infrastructure.

Over
100 GPU
instances available per model

60 seconds
upstart & downsize time

0
Dev-ops engineers needed in your team

Pick a Deployment Configuration

Deploy model in the cloud on V7's scale-agnostic inference engine NJORD, or run them on-premise through a docker image at real-time speeds. Run V7 Neurons on powerful NVIDIA T4 servers in your datacenter to serve multiple cameras, or on versatile NVIDIA Jetson modules for low volume or low-power consumption.

V7 Deep and Slim model sizing
v7 on aws

Cloud - REST API

On-premise GPU Server

v7 on Jetson Xavier NX

NVIDIA Jetson

v7 on iOS

Mobile (iOS) (Coming 2021)

Edge AI with industry leaders

V7 is fortunate to be working with partners to bring cognition to the edge at scale with decades of industry experience and world-leading support.
V7's edge deployment is available natively through select partner platforms. Enquire with our team to learn which may best suit your system.

Over
3 Billion
images processed by V7 on the edge

107
Countries serviced for installation & support

Ready to get started?

Schedule a demo with our team or discuss your project.