How It Works

Collect and Upload Your Data

Collect images or videos from deployment location and upload to alwaysAI.

Annotate Your Data

Highlight and label objects or items to detect.

Train Your Model

Train your model based on your annotated dataset.

Develop Your App

Develop your application using our Python library of APIs, edgeIQ.

Deploy Application

Deploy your application to the edge or the cloud.

Run-time Inferencing

Begin processing the incoming data from your deployed application.

Real-time Analytics

Get real-time data from your application sent to alwaysAI’s console.

Dataset Management

Straightforward Tagging and Collection

Enhanced Annotation Tools

Seamless Integration

Model Training

alwaysAI delivers advanced model training for successful real-world deployments.

Choose from one of our exclusive YOLO by alwaysAI model architectures to achieve higher performance for optimized deployment and maintenance of your applications.

YOLO Dynamic

Multi-object detection system optimized for changing conditions and backgrounds.

YOLO Classic

Optimized for simple environments with typically less than ten objects to detect.

YOLO Static

Multi-object detection system optimized for object detection in fixed environments.

Get remarkable visibility into model training performance.

modelIQ

Take the guesswork out of model evaluation. alwaysAI’s modelIQ gives you unparalleled insights into the critical details of model performance for faster, more effective training.

Apps & APIs

Deployment

Device Provisioning

Application Management

Push to the Cloud

Push Apps to Multiple Devices

View Application Logs

Device Statistics

Current Performance

Remote Access to Device

Data Encrypted in Transit

Automatic Starting on Boot

Professional Services

Integration

Analytics