New-Edge-AI | Deepedge AI

Industrail Brain

Industrial Intelligence Reimagined

Building the Industrial Brain - manufacturing's first cognitive infrastructure that develops operational intuition and gets smarter with every deployment

See It Work

Features

Train Smarter, Deploy Faster, and Scale Effortlessly

DeepEdge AI platform provides a comprehensive, full-stack environment for AI development, integrating MLOps from data preparation to model deployment and monitoring. Whether you're a startup or an enterprise-scale ML team, we empower you to build, optimize, evaluate, and scale AI solutions, particularly in high-impact fields such as audio, vision, timeseries, and edge AI

Harness advanced analytics to evaluate the quality, versioning, and optimization of your training datasets for enhanced model performance.

Bring in raw data of images, videos, audio clips, or column timeseries and pre-annotated datasets in standard formats such as COCO, VOC, YOLO, and more.
Preview data with preprocessing and augmentation, gaining a deeper understanding of the dataset through visualization and health checks.
Apply filters to your data based on image and annotation metadata, including size, brightness, class, and more.
Monitor individual annotation tasks and assess the performance of annotators.
Track and manage dataset versions, including images, annotations, and operations.
Identify and remove similar images during transfer, annotation, or training to ensure data quality.
Work with datasets created by multiple users, allowing you to modify versions created by others.
Export datasets in standard formats or framework-specific formats as needed.

Accelerate data labelling with intuitive, AI-driven tools for unmatched speed and precision.

Supports bounding boxes, polygons, keypoints, and semantic segmentation, audio and timeseries classification
Use pre-trained models to automatically annotate a large portion of your dataset.
Intelligently select the most valuable data to label next, improving model performance with less effort.
Built-in review workflows and consensus scoring to ensure annotation accuracy.
Assign tasks, track progress, and manage annotators all in one place.

Effortless data loading and training pipelines for TensorFlow and PyTorch frameworks

The low-code training workbench lets you run multiple experiments, compare and contrast to pick the best model for your end use
Switch between basic and advanced experiment configuration options - works well even for someone without ML knowledge to create a functioning Deep Learning model
Tune hyperparameters - configure hyperparameters and detect the best combination of hyperparameters
Transfer learning and fine tuning - load weights from standard pre-trained models or similar previously run experiments
Train models in well known classification, detection or segmentation architectures - Resnet, Mobilnet, EfficientNet
Track experiments - compare experiments, visualize losses, metrics, resources and model predictions and the predictions improvement over every epoch
Experiment similarity - identify previously run experiments with similar configurations
Export models - Export or save model graph in ONNX in addition to the native TensorFlow or PyTorch formats
Custom model architectures - define or select a neural network architecture that comprises of various layers including convolution, pooling, normalization etc…, or bring in custom architecture thru a preformatted model definition file

A zero-barrier, cloud-based evaluation that enables developers to test and benchmark their deep learning models on advanced hardware without ever touching a dev kit or negotiating a license.

● No-code interface with seamless model onboarding
● Real-time input-to-output prediction visualization
● Dashboards for model insights and performance trends
● Integrated log analysis and metric tracking
● Support for computer vision, audio, VLMs, LLMs, and multi-modal models
● Dataset versioning and project history
● Side-by-side model comparisons and A/B testing

Harness advanced analytics to evaluate the quality, versioning, and optimization of your training datasets for enhanced model performance.

Bring in raw data of images, videos, audio clips, or column timeseries and pre-annotated datasets in standard formats such as COCO, VOC, YOLO, and more.
Preview data with preprocessing and augmentation, gaining a deeper understanding of the dataset through visualization and health checks.
Apply filters to your data based on image and annotation metadata, including size, brightness, class, and more.
Monitor individual annotation tasks and assess the performance of annotators.
Track and manage dataset versions, including images, annotations, and operations.
Identify and remove similar images during transfer, annotation, or training to ensure data quality.
Work with datasets created by multiple users, allowing you to modify versions created by others.
Export datasets in standard formats or framework-specific formats as needed.

Access a diverse range of development hardware to evaluate your models or manage your own fleet of edge devices at scale.

Reduce the time from concept to production with real-world performance data early in the development lifecycle.
First platform to offer real-time, no-code evaluation on edge hardware of models at scale
Support a wider range of innovators by making world-class silicon accessible to anyone, anywhere.
Select models and get performance benchmarks from real silicon—no dev kits, no SDK installs, no delays.
Eliminating the traditional bottlenecks such as hardware procurement, licensing costs, and integration complexity, so developers can go from model to
silicon in minutes, not months.

Access to a curated marketplace of production-ready Deep Learning models from leading creators and the open source.

Find the perfect foundation for your AI solutions, from audio, image classification to object detection to semantic segmentation to forecasting and anomaly detection on time series data. Browse, evaluate, and integrate models that accelerate your AI development journey. More models would be coming up on this market place from time to time

Industries

Solutions for Industry

Our edge AI platform is transforming operations across various industries, delivering tailored solutions for specific challenges.

Agriculture

DeepEdge enhances safety, surveillance, and smart infrastructure through real-time edge-based computer vision.

Beauty & Fashion

DeepEdge enhances safety, surveillance, and smart infrastructure through real-time edge-based computer vision.

ElderTech

DeepEdge enhances safety, surveillance, and smart infrastructure through real-time edge-based computer vision.

Retail

DeepEdge enhances safety, surveillance, and smart infrastructure through real-time edge-based computer vision.

Manufacturing & Industrial

DeepEdge enhances safety, surveillance, and smart infrastructure through real-time edge-based computer vision.

Safety & Security

DeepEdge enhances safety, surveillance, and smart infrastructure through real-time edge-based computer vision.

Warehouse

DeepEdge enhances safety, surveillance, and smart infrastructure through real-time edge-based computer vision.

Agriculture

DeepEdge enhances safety, surveillance, and smart infrastructure through real-time edge-based computer vision.