Precision Edge Intelligence

Engineering the Intelligent Edge — Silicon to System

AGNIDYNE designs firmware, edge AI, and embedded software for mission-critical applications. From single-node devices to cloud-scale distributed systems, we build the technology that operates at the edge—in real-world environments across the globe.

Whether you’re a startup bringing a new product to life or an established company looking to scale and optimize, we partner with you to turn complex ideas into reliable, production-ready systems.

Embedded Systems Edge Software AI / ML Solutions RTOS & Firmware FPGA / SoC IoT / Cloud Video / Audio Wireless Connectivity Hardware Validation Linux
4+ Industry Verticals
Global Client Reach
6 Core Practices
Pune / Mumbai Headquarters, India

Six core practices.
One senior-led team.

Embedded Systems · Edge Software & Linux BSP · Edge AI/ML · Hardware Validation · IoT & Connectivity · Signal Processing & FPGA — the full embedded and edge stack, delivered as an extension of your team or as a dedicated partner.

Embedded Systems Engineering

Bare-metal and RTOS firmware across ARM Cortex-M/A, STM32, NXP, and custom SoC platforms. Safety-critical design for real-world industrial and field environments.

ARM Cortex-M/A STM32 / NXP FreeRTOS / Zephyr CAN / RS-485 UART / SPI / I2C IEC 62061 aware

Edge Software & Linux BSP

Linux BSP development, device drivers, GStreamer pipelines, Qt/GTK UI, and multi-camera video processing — for hardened embedded Linux platforms deployed in demanding environments.

Embedded Linux Yocto / Buildroot GStreamer / OpenCV GMSL / FPD-Link Qt / GTK+ FPGA VHDL

Edge AI & ML Solutions

Inference on NVIDIA Jetson, TensorRT, and TinyML on microcontrollers. Object detection, classification, and signal-based inference on edge hardware — AI deployed where cloud connectivity isn't guaranteed.

NVIDIA Jetson TensorRT DeepStream TinyML ONNX Runtime

Hardware Validation & Test Automation

End-to-end automated board validation frameworks — from prototype to production. Every unit tested, firmware provisioned, and cloud-enrolled before it ships.

ATE / Bed-of-Nails CAN / BLE / RS-485 TLS Provisioning Cloud Audit Trail Python / Pytest

IoT & Cloud Connectivity

4G/5G, LTE-M, BLE, and LoRaWAN connectivity stacks, with cloud IoT integration on AWS, Azure, and custom MQTT brokers. Secure device provisioning and OTA firmware update pipelines.

4G / 5G / LTE-M BLE / LoRaWAN MQTT / CoAP AWS IoT / Azure OTA Updates

Signal Processing & FPGA

FPGA design in VHDL/Verilog for low-latency signal processing, video pipelines, and hardware acceleration. DSP for sensor fusion, audio, and real-time data acquisition.

VHDL / Verilog Xilinx / Intel FPGA OpenGL / GLSL H.264 / H.265 HEVC Pipelines

Capabilities proven
in the field.

These capability overviews reflect real engineering programs our team has contributed to. Request the full document for technical depth, architecture context, and stack details.

Smart City & Transportation

Smart Traffic Management with Edge AI

NVIDIA Jetson-based edge AI inference platform for vehicle detection and traffic analytics. Solar-powered, field-deployable, geography-agnostic architecture — proven on highway intelligence programs. No cloud dependency required in-field.

NVIDIA Jetson TensorRT DeepStream 4G/5G IP67 LiFePO4

Electronics Manufacturing

Automated Board Validation at Production Scale

Custom automated test framework for IoT hardware — every board tested, firmware flashed, and cloud-enrolled before leaving the factory. Engineered to scale from prototype runs to high-volume production lines.

CAN / RS-485 BLE TLS Cloud Audit Qt / GTK+

Surveillance & Critical Infrastructure

Distributed Video Processing for Mission-Critical Systems

Multi-camera, multi-node video processing on hardened Linux — FPGA-accelerated H.264/H.265 pipelines with deterministic latency and zero-copy memory management. Engineered for environments where pipeline failure is operationally unacceptable.

GStreamer OpenCV FPGA VHDL GMSL FPD-Link OpenGL

Building Systems & Industrial IoT

Elevator Controller Firmware & Edge Monitoring

Two-track engagement: safety-certified STM32 controller firmware for OEMs, and a non-invasive edge monitoring module for building operators — edge inference for ride quality analytics and fleet health dashboards via LTE.

STM32 CAN / RS-485 TinyML LTE IEC 62061 aware Cloud IoT

Honest about
where we have depth.

We're a firmware engineering firm — not a standards certification body. Our domain engagement model is transparent about readiness: current depth, where we ramp up, and where we engage alongside domain specialists.

Smart Traffic & Edge AI
Deep expertise in NVIDIA Jetson, TensorRT, and DeepStream, with production deployments across highway intelligence, fleet aggregation, and port/airport systems. Strong foundation in JetPack Linux and STM32 firmware enables immediate contribution with minimal ramp-up.
Building Automation & Lift Systems
Development of STM32 firmware for non-invasive sensing systems, with working knowledge of IEC 62061-aligned safety architectures and LTE-connected cloud monitoring for elevator and BMS applications.
Surveillance & Critical Video
Designed multi-camera pipelines over GMSL and FPD-Link, interfacing with FPGA-based video capture/processing and handling H.264/H.265 encoded streams, with zero-copy architectures on security-hardened Linux for mission-critical deployments.
Hardware Validation & Board Provisioning
Automated board validation at production scale — custom harnesses; GPIO, power, and RTC testing; CAN/RS-485/BLE/Wi-Fi protocol coverage; NFS/TFTP-based provisioning; TLS certificate injection; and per-unit cloud audit trails. Scales from prototype to high-volume manufacturing.
Industrial IoT & Automation
Embedded firmware for PLCs and sensor devices: current depth. SCADA protocols (Modbus, OPC-UA, DNP3): within scope. SCADA platform integration (Ignition, WinCC, InTouch): 4–8 weeks learning budget — engage with this context upfront.
Agriculture & Agritech
Sensor nodes, LoRaWAN connectivity, edge analytics for precision agriculture. 3–6 months to reach full proficiency — active ramp with learning budget.
Energy & Power Systems
Grid-edge controllers, inverter firmware, MPPT algorithms, battery management systems. Standards awareness growing — engage with compliance context.
Consumer Electronics
High-volume embedded firmware, BLE/Wi-Fi stacks, low-power optimization, OTA pipelines. Strong technical base; learning product certification workflows.
Connected Mobility & Fleet
Telematics, CAN bus data loggers, OBD integrations, fleet health monitoring. Automotive-adjacent — ISO 26262 awareness in progress.
Medical & MedTech
AGNIDYNE provides firmware engineering; we co-engage with a domain specialist for IEC 62304 / FDA 510(k) compliance guidance. Both scope and audit trail are jointly managed.
Aerospace, Defense & UAV/Drones
RTOS firmware, DO-178C awareness, safety-critical embedded design — current capability. UAV/drone firmware: flight controller integration, sensor fusion, telemetry stacks, and edge AI for autonomy are within technical scope. Airworthiness certification (DO-178C, AS9100) and regulatory approval require domain compliance specialist co-engagement. Engage early on standards context.
Automotive (ISO 26262)
Embedded firmware and AUTOSAR layers available; ASIL-B/C certification requires functional safety specialist co-engagement for formal compliance work.

Scoped proof-of-concept first.
Scale after validation.

Most engagements start with a scoped proof-of-concept. We handle firmware and sensing modules — a design specialist handles formal standards compliance sign-off.

Discovery Call
We understand your hardware stack, deployment environment, connectivity requirements, and timeline. No NDA required for the first call.
Scoped PoC
A fixed-scope proof-of-concept validates the critical engineering unknowns. You get a working artifact — not a slide deck — before committing to full scope.
Delivery
Iterative delivery with embedded code review, documentation, and test coverage. We integrate with your existing workflows — GitLab, Jira, or your stack.
Handoff & Support
Full source, documentation, and optional support retainer. We can stay on for production ramp, maintenance releases, or next-phase features.

Engineering depth.
No overhead.

  • Experienced engineers, hired to fit the engagement
    We staff engagements with engineers who have relevant domain experience — full-time or contracted as needed. Quality without overhead.
  • Full stack, from bare metal to cloud
    We cover firmware, Linux BSP, edge AI, connectivity, and test automation — so you don't manage four vendors for one product.
  • Transparent domain positioning
    We are explicit about where we have depth and where we don't — and how we engage in the latter. No surprises mid-program.
  • India HQ, global delivery
    Headquartered in Pune/Mumbai — competitive rates without sacrificing engineering quality. Time-zone overlap with EU, ME, and SEA clients.
Technology Fluency
ARM Cortex-M0 through Cortex-A72
NVIDIA Jetson Nano / Orin / AGX
STM32, NXP i.MX, ESP32
FreeRTOS, Zephyr RTOS
Yocto / Buildroot Linux BSP
GStreamer, OpenCV, DeepStream
Xilinx / Intel FPGA (VHDL/Verilog)
AWS IoT, Azure IoT Hub, MQTT
4G / 5G / LTE-M / BLE / LoRaWAN
CAN, RS-485, Modbus, EtherCAT

Can't AI just
do this now?

It’s a fair question. AI tools are powerful — and we use them. Here’s where they help, and where engineering responsibility still matters.

AI can generate code. We take responsibility for what runs in production.
In embedded and edge systems, failures are physical — production lines stop, devices fail in the field, and safety systems misfire. Every system we deliver is validated on real hardware and signed off by engineers accountable for its behavior.
Real systems require real hardware work
Oscilloscopes, logic analyzers, bring-up, signal integrity, power analysis — embedded systems are validated on actual silicon, not just generated code.
You need an accountable partner
We sign NDAs, carry insurance, and stand behind what we ship. Your team has a clear counterparty responsible for delivery.
Your hardware is unique
Firmware depends on your board, layout, components, and field conditions. Engineers working directly with your system produce far more reliable results than generic outputs.
AI is part of our workflow
We use AI to move faster — for boilerplate, documentation, and iteration. Architecture, debugging, and system-level decisions remain with experienced engineers.
Compliance requires human sign-off
Standards like ISO 26262, IEC 62304, and DO-178C require traceability, reviews, and named engineering responsibility. That always ends with a person.
We’re happy to discuss it
If you're evaluating AI-first approaches, we’ll walk through where they work and where engineering depth is critical for your specific system.

Start with a
discovery call.

Precision Edge Intelligence  ·  Pune / Mumbai

Tell us about your hardware, your deployment environment, and what you're trying to ship. The first conversation is always free and no-NDA.

Pune / Mumbai, Maharashtra, India
IST (UTC+5:30) — overlap with EU, ME & SEA
Send us a message
For case study requests, use the buttons on each card above.
Please enter your name.
Please enter your company.
Please enter a valid email.
Please enter a message.

Message received.

We'll respond within 1–2 business days. Check your inbox at the email you provided.