Services

Engineering for hardware that has to think.

We put AI models on microcontrollers and edge boards, write the control software for robots, and build the IoT pipeline and backend a device fleet needs once it ships.

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ESP8266 microcontroller board held up in front of a laptop running code

Embedded AI

We take a model that works on your laptop and make it run on your microcontroller or edge board, inside the RAM, flash, latency and power budget the hardware actually has.

  • Model Quantization
  • LiteRT .tflite / Executorch .pte
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Industrial robotic arm in a manufacturing cell

Robotics & Control

We write the state estimation, motion planning and control loops that make a robot arm or mobile platform go where it is told, and we prove them in simulation before they touch your hardware.

  • Reinforcement Learning
  • Inverse Kinematics
  • Genesis Simulation
  • ROS 2 Navigation
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Object detection boxes labelling pistons on a production line

Computer Vision

We build detection, segmentation and tracking pipelines that run on the camera's own edge hardware, so the decision happens on the line or on the robot instead of in a data center.

  • Object Detection (YOLO)
  • Semantic Segmentation
  • Real-time Tracking
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Connected factory machines with an operator control screen

Industrial IoT

We connect machines to a telemetry pipeline over MQTT or CoAP, with fleet management and over-the-air updates so devices already in the field stay patchable.

  • MQTT / CoAP Protocols
  • Fleet Management
  • OTA Updates
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FastAPI fleet backend with a telemetry endpoint and WebSocket stream, running in Docker

Backend & API

We build the Django or FastAPI server your device fleet talks to: REST and GraphQL APIs, WebSocket streams for live data, and Docker deployments your team can run without us.

  • REST & GraphQL APIs
  • Real-time WebSockets
  • Docker Microservices
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Ready to build something real?

Tell us the hardware, the constraint and the deadline. You'll talk to the engineer who'd do the work.

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