Embedded Middleware · Edge AI · Bengaluru

Democratizing Edge AI

Embedded middleware that runs high-speed context switching across multiple sensor and ML/AI inputs — NLP, GPU vision, and sensing — on the same constrained hardware, without cloud dependency or dedicated boards per modality.

  • <1ms Context switching
  • 1 Hardware, many AI inputs
  • Zero Cloud dependency

About

One board. Many AI contexts.

Xerge Technologies LLP is a Bengaluru-based company democratizing Edge AI through embedded middleware — software that orchestrates high-speed context switching across multiple sensor streams and ML/AI workloads on constrained devices. Sensor fusion, NLP, and GPU-accelerated vision share the same hardware; our middleware switches contexts in sub-milliseconds so you do not need separate silicon for each modality.

We design for real constraints: limited memory, power, and compute. From board-aware firmware to inference pipelines, we deliver intelligence that works offline in the field. Technology procurement and hardware supply remain available as a secondary offering for teams that need sourcing alongside our Edge AI platforms.

Intelligence belongs at the edge — not in a data centre three states away.

What We Do

Embedded middleware for Edge AI

Embedded Middleware

The software layer that schedules sensors and ML/AI pipelines on constrained edge devices — RTOS-aware, board-aware, production-ready.

High-Speed Context Switching

Sub-millisecond switching between sensor and ML/AI contexts so real-time control loops stay responsive on one device.

Multi-Input Edge AI

Sensors, NLP, and GPU vision on the same hardware — one constrained platform, many AI modalities, shared resources.

Constrained-Resource Design

Built for limited memory, power, and compute — frugal boards that still run serious on-device intelligence.

Platform capabilities

End-to-end Edge AI — from sensing and inference to firmware and deployment.

Frugal Embedded AI

Edge ML on modest hardware — shared NLP and GPU paths on-device, no cloud bills, no compromise on capability.

Multi-Context Sensing

Process vibration, thermal, acoustic, and more — switching contexts in sub-milliseconds on a single board.

Board Design & Assembly

Ultra-low-power PCB design, component selection, and production-ready assembly built for harsh environments.

Firmware & Inference Pipelines

Drivers, middleware, and on-device inference stacks — the layer that makes shared hardware intelligent.

Contract Manufacturing

From prototype to volume production — assembly, testing, and quality processes under one roof.

Industry Sensing Solutions

Custom sensor fusion and edge inference tailored to your domain — agriculture to industrial IoT.

Why Xerge

Built for constraints, not demos

Shared

Same hardware, many AI inputs

Sensors, NLP, and GPU vision multiplexed through middleware — no separate board per modality.

<1ms

Sub-millisecond switching

High-speed context switches fast enough for real-time control loops on the edge.

μW

Ultra-low power

Runs on battery for months. Engineered for constrained embedded resources.

Zero

No cloud dependency

Full inference on-device. Works offline, in the field, forever.

Real

World constraints

Heat, dust, unreliable power, no connectivity — engineered in, not patched later.

Industries

Where edge intelligence matters

Agriculture
Infrastructure
Healthcare
Industrial IoT
Social Sector

Secondary offerings

Procurement & engineering support

Our primary focus is embedded Edge AI middleware. As a secondary engagement, we also support technology procurement, hardware supply, software development, firmware engineering, and contract manufacturing — for teams that need sourcing or execution capacity alongside our platforms.

  • Technology Procurement Hardware trading and technology supply for deployments — secondary to our Edge AI core.
  • Firmware & Software Drivers, middleware integration, dashboards, APIs, and on-device inference pipelines.
  • Contract Manufacturing PCB assembly, testing, and volume production with quality traceability.

Contact

Let's talk Edge AI middleware

Tell us about your sensor and ML workloads, hardware constraints, and switching needs — we'll respond within one business day.