Embedded Middleware
The software layer that schedules sensors and ML/AI pipelines on constrained edge devices — RTOS-aware, board-aware, production-ready.
Embedded Middleware · Edge AI · Bengaluru
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.
About
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
The software layer that schedules sensors and ML/AI pipelines on constrained edge devices — RTOS-aware, board-aware, production-ready.
Sub-millisecond switching between sensor and ML/AI contexts so real-time control loops stay responsive on one device.
Sensors, NLP, and GPU vision on the same hardware — one constrained platform, many AI modalities, shared resources.
Built for limited memory, power, and compute — frugal boards that still run serious on-device intelligence.
End-to-end Edge AI — from sensing and inference to firmware and deployment.
Edge ML on modest hardware — shared NLP and GPU paths on-device, no cloud bills, no compromise on capability.
Process vibration, thermal, acoustic, and more — switching contexts in sub-milliseconds on a single board.
Ultra-low-power PCB design, component selection, and production-ready assembly built for harsh environments.
Drivers, middleware, and on-device inference stacks — the layer that makes shared hardware intelligent.
From prototype to volume production — assembly, testing, and quality processes under one roof.
Custom sensor fusion and edge inference tailored to your domain — agriculture to industrial IoT.
Why Xerge
Sensors, NLP, and GPU vision multiplexed through middleware — no separate board per modality.
High-speed context switches fast enough for real-time control loops on the edge.
Runs on battery for months. Engineered for constrained embedded resources.
Full inference on-device. Works offline, in the field, forever.
Heat, dust, unreliable power, no connectivity — engineered in, not patched later.
Industries
Secondary offerings
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.
Contact
Tell us about your sensor and ML workloads, hardware constraints, and switching needs — we'll respond within one business day.