EdgeMatrix.io

Port Deep Learning Models
onto Edge devices – 8X Faster &
4X cheaper.

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EdgeMatrix’s
Mission

Accelerating the development & porting of Deep Learning models on Edge devices. We do this by providing a enterprise ready, low-code end-to-end platform to manage the entire Edge AI lifecycle.

Much Realized Benefits

Unprecedented Performance
Run Models on CPUs at GPU speed. No special hardware required.
Run Models on CPUs at GPU speed. No special hardware required.
Reduce Costs
Deploy and scale models on commodity CPU servers from the cloud to the edge.
Deploy and scale models on commodity CPU servers from the cloud to the edge.
Smaller Footprint
Unlock edge possibilities by reducing model footprint by 10-20x.
Unlock edge possibilities by reducing model footprint by 10-20x.
Run EdgeMatrix.io Anywhere
Deploy the platform with flexiblity - on premise, or in the cloud.
Deploy the platform with flexiblity - on premise, or in the cloud.
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Bridging the Gap [AI onto Edge] Much Faster & Economical Edge AI Platform

If you are aiming at federating AI or complex Deep Learning models on to any low-cost edge devices or looking at porting your existing models on to any target hardware (and yet aiming to retain the accuracy), EdgeMatrix.io is your solution.

We have done all the heavy lifting for you so that we can provide a seamless, easy, and fast end-to end Edge AI platform so you can deploy Neural Net models onto countless devices.

The First Enterprise Ready Edge AI Platform

EdgeMatrix platform actively takes care of production constraints in the porting process, such as optimizing the model for the target inference hardware, to dramatically increase your success rate in production.

End to End

Inference Acceleration

EdgeMatrix.io provides you with unmatched end-to-end accuracy-preserving inference acceleration for your neural net models on the Edge, IoT Devices, & FPGAs.

Accelerated by Revolutionary Technology

AI
Made by
AI

EdgeMatrix platform is powered by SL’s proprietary algorithmic optimization engine that squeezes the most out of any hardware.

This engine revises a given trained model to optimally speed up its runtime, while preserving the model’s baseline accuracy.

Simple, Intuitive, And Efficient.

EdgeMatrix prune and quantize your deep learning models to minimize footprint & run on CPUs at GPU speeds.

Industry Standard
Frameworks

EdgeMatrix prune and quantize your deep learning models to
minimize footprint & run on CPUs at GPU speeds.

Does your hardware lacks Deep Learning Accelerator?

Ready-to-use Deep Learning Hardware Accelerator to bring AI abilities onto your Low Cost hardware

Low Power & Energy Optimized

High Flexibility & Scalability

Faster & Economical

High Throughput

Low Latency

Secure Your Connected operations with EdgeMatrix.io

Orchestrate your connected operations securely and at scale with choice of hardware, datasets, and models so you can focus operational simplicity at a highly affordable Total Cost of Ownership (TCO).

Why Edge AI developers love us?

Accelerate Inference on Edge
Get 3x-15x speedup optimization for inference throughput/latency while maintaining accuracy, enabling new use cases on your hardware of choice
Get 3x-15x speedup optimization for inference throughput/latency while maintaining accuracy, enabling new use cases on your hardware of choice
Reach Production Faster
Shorten development cycle from months to weeks with automated tools. No more endless iterations and dozens of different libraries.
Shorten development cycle from months to weeks with automated tools. No more endless iterations and dozens of different libraries.
Maximize Your Hardware Potential
Scal up with existing hardware. No need for infrastructure changes and extra costs. Gain up to 80% reduction in compute costs.
Scal up with existing hardware. No need for infrastructure changes and extra costs. Gain up to 80% reduction in compute costs.
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Explore your business options.

CAPEX to OPEX
Pay As you Grow
Flexible Subscription Models
Unleash Edge AI Potential
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Discover what EdgeMatrix.io can offer for your Enterprise.
Accurate, Seamless, Fast, Economical – serving what is required at most! Interested to know more?
Get in touch!

Case studies & stories

We work together across the globe to make a world of difference.
Porting of Detection & Classification model to QCS 605
Our developers utilising EdgeMatrix platform for Developing & Porting Al framework for their upcoming Camera line (Dashcam & Cabin Monitoring Cam) based on SNPE DLC
Our developers utilising EdgeMatrix platform for Developing & Porting Al framework for their upcoming Camera line (Dashcam & Cabin Monitoring Cam) based on SNPE DLC
Created missing Operators
Using LageMotrile proprietary tech stock developers ported multiple models, served those moon on Teton Server and did multiplexing to виррол inference on Multiple Comero inputs
Using LageMotrile proprietary tech stock developers ported multiple models, served those moon on Teton Server and did multiplexing to виррол inference on Multiple Comero inputs
Architecture re-design to accommodate on Edge (QCS 603)
A multi-model distress recognition system for passenger transportation industry was ported to QCS 603 boiled device, Multi-model Pyramid Architecture
A multi-model distress recognition system for passenger transportation industry was ported to QCS 603 boiled device, Multi-model Pyramid Architecture
Porting & Optimization of Custom Object Detection Models to Edge
the end prodlict nouses on industrial grade comeration Nano / xnx.boont, Custom Ighting acomentancissed in a IP67 certified Housing portat on to Jetson/ boots to provide soge bosad intelligence
the end prodlict nouses on industrial grade comeration Nano / xnx.boont, Custom Ighting acomentancissed in a IP67 certified Housing portat on to Jetson/ boots to provide soge bosad intelligence
SandLogic's CORE now supports Intel's OpenVINO
SandLogic's CORE (Code_Once_Run_Everywhere) tool now includes support for Intel's OpenVINO for Intel's x86 processors, CORE tool can now convert their favourite neural nets from any framework (IF 1x, TF2x, PyTorch, ONNX, TFLite) and optimize the neural net for any x86 device of the user's choice
SandLogic's CORE (Code_Once_Run_Everywhere) tool now includes support for Intel's OpenVINO for Intel's x86 processors, CORE tool can now convert their favourite neural nets from any framework (IF 1x, TF2x, PyTorch, ONNX, TFLite) and optimize the neural net for any x86 device of the user's choice
Enabling Deep Learning and Computer Vision capabilities on the Shakti Vajra SoC
Making a non-Al enabled hardware, Al capable using EdgeMatrixio. Porting and Integration of open-source IP modules for Neural Processing Engine (NPE), MIPI-CS12 camera interface with Shoki Vajra SOC. Also, Porting and Potching tin Off and Device Drivers on the updatest Soc
Making a non-Al enabled hardware, Al capable using EdgeMatrixio. Porting and Integration of open-source IP modules for Neural Processing Engine (NPE), MIPI-CS12 camera interface with Shoki Vajra SOC. Also, Porting and Potching tin Off and Device Drivers on the updatest Soc
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You are one step closer
to start your ai project.

LET’S TALK!

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+91 95358 12121
info@sandlogic.com

SandLogic Technologies Pvt. Ltd.

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The SandLogic Advantage

We’re partners in your Artificial Intelligence journey, and trusted by leading
organizations across the globe for our unparalleled expertise and business value proposition.

Low-Code Integrations

Third-Party Connectors

No Upfront Costs

Future-Ready Platform

Consultative Approach