Gettobyte Edge AI Engennering Service Tooling and Platform
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We Engineer Edge AI Across Every Platform.
Introduction – The Multi-Vendor Edge AI Landscape
Edge AI is not a single technology — it’s a combination of chipsets, software stacks, and toolchains from multiple global vendors.
Each ecosystem comes with its own strengths — from ultra-low-power MCUs to multi-core MPUs with NPUs and GPUs.
At Gettobyte, we help you choose, integrate, and optimize the right platform for your product — whether it’s a smart meter, autonomous vehicle controller, or industrial node.
For Visually Understand
Edge AI Software Ecosystem (Tools & Frameworks)
From Training to Deployment — We Master the Edge AI Stack
Why Multi-Platform Capability Matters
Every product has different design goals — cost, performance, safety, or certification. That’s why no single Edge AI platform fits all.
Gettobyte engineers analyze your latency, power, and memory constraints to help you select
The right SoC or MCU for your use case
The best AI runtime framework
The most efficient model optimization pipeline
We’ve already worked with NXP, STM32, ESP32, and NVIDIA Jetson platforms for projects in automotive ECUs, smart meters, and industrial automation systems.
How We Help You Leverage These Platforms
From Board Bring-Up to On-Device Inference
Trusted by OEMs and Innovators
Our cross-platform expertise helps automotive, energy, and industrial clients build scalable, hardware-agnostic AI
systems — ensuring long-term flexibility and vendor independence.
Gettobyte
Choose the Right Edge AI Platform for Your Product.
We’ll help you pick, optimize, and deploy your AI on the best-suited hardware and software combination.
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