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 and scale across multiple cameras and locations.

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 and easily collaborate with team members.

Dataset Management

Convenient Data Uploading

Enhanced Annotation Tools

Advanced Video Sampling

Model Training

Train powerful models with alwaysAI's advanced tools, or integrate your own for seamless real-world deployments.

Choose from one of our exclusive YOLO by alwaysAI model architectures or bring your own architecture for ultimate flexibility. alwaysAI also supports multimodal architectures and can run on most PyTorch-based model frameworks.

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.

YOLOX

Anchor-free version of YOLO with a simpler design and better performance.

CenterNet

Anchor-free object detection system whose center-out technique reduces inference time.

RT-DETR

End-to-end, real-time object detection with transformers for unbeatable precision and recall while leveraging multiple GPUs for greater efficiency.

BYOA

Bring ANY PyTorch-based architecture to our platform to create dynamic multimodal applications.

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.

Greater Precision

Get an F1 score for every image in your dataset. See performance by class, size, and image quadrant.

Optimize Model Adjustment

Pinpoint exactly where your detections are most accurate to make more informed adjustments.

Evaluate Any Model

modelIQ works on any model – regardless of where it was trained.

Starter Apps & APIs

Deployment

Data Capture Tool

Device Provisioning

Application Management

Push to the Cloud

Push Apps to Multiple Devices

View Application Logs

Current Performance

Remote Access to Device

Data Encrypted in Transit

Remote System Reboot

Professional Services

Integrations

Analytics