Accelerate AI adoption on Edge
0X
Accelerate Time to Market
0%
Reduction in cost of development
0X
Accelerate Inference on Edge
Train
Train models from scratch, use a pre-optimized model or your own model
Optimize
Optimize inference performance without any accuracy trade-off
Deploy
Enable continuous deployment seamlessly on any Edge hardware
Accelerating Edge AI adoption
Low-Code Platform
Requires minimum set of inputs and does not require expert coding knowledge to build Edge AI application. Companies can save cost of hiring expensive Edge AI experts or developers.
AI Model Optimization
With the accuracy level bar set at -1, improve model performance without accuracy trade-offs to easily deploy on actual hardware. ENAP retains the model if the accuracy level drops.
Open Platform
ENAP allows you to seamlessly integrate with any third-party services without worrying about any tools and platforms you are using and is extensible for any application
Model Zoo
Model Zoo provides a set of pre-trained and pre-optimized model libraries which can be used to deploy any kind of use case for multi hardware and multi-application development
MLOps/ Edge DevOps
Get your new set of data trained, optimized and ready for deployment with effortless MLOps and model management. Now engineers can manage models and versioning within the platform
Easy to Use
Train, optimize and deploy edge AI modules with just a single click. Reduce data set training, optimizing, and deployment pipeline from months to days or even hours
Hardware Agnostic
ENAP consists a hardware extraction layer which allows companies and developers to seamlessly switch between hardware, and automatically recompiles for chosen hardware
Cloud Neutral
ENAP is cloud neutral, and can integrate with data sets for any cloud platform or technology, easily migrating from Azure to AWS or vice versa
Scalable Software Platform
ENAP is architected to be a scalable platform that can be scaled across various edge devices and AI models, and can be trained, optimised and deployed seamlessly
Collaboration Tools
It’s a collaborative tool so, multiple users or engineers can work towards a single project or a single application
Accelerate AI adoption on Edge
Why EDGENeural AI Platform (ENAP)?
End to End Workload Processing
Process AI and Non-AI work loads on the chip
End-to-End AI software development with model lifecycle management
Extensive Edge AI Software Platform
Supports existing libraries
Pre-Built Optimized Models for chip
Model Optimization
Pruning / Compression
MLOps / Edge DevOps
Model Lifecycle Management
Model Benchmarking
Federated Learning
Containers
