Embedded AI & Edge Computing Agency
Your hardware
needs intelligence.
From optimizing Edge AI models to stabilizing firmware for mass production, we serve as the Rapid Prototyping extension of your engineering team ready to be integrated with your current workflow.
Start a ProjectModel Optimization Results
INT8 QuantizedCloud (FP32)
Size
14 MB
Latency
45 ms
Top-1 Acc
71.8%
Edge (INT8)
Size
3.6 MB
Latency
12 ms
Top-1 Acc
71.2%
Compression
3.9x
Post-training quantization
Accuracy Retained
99.2%
71.8% → 71.2% top-1
Deploy Anywhere
Engineered with
Internationally Recognized
Tested against the world's best.
Global Round
JAXA-NASA Kibo RPC 2025
Autonomous robot control on the ISS. Computer vision and zero-gravity path planning.
Global
International Rover Design Challenge 2023
Mars rover with terrain segmentation and 6-DOF arm inverse kinematics.
Stanford Online
ML Specialization
Multiple Team members certified in neural networks, optimization, and deployment.
No Beuracracy,
No Delay
We are the Forward Deployed Engineers that founders and contractors can depend on to deploy AI-Native hardware on aggressive deadlines.
So, talk directly to the engineer.
Core Capabilities
What we engineer.
Embedded AI
Constraint-Aware Model Optimization. Lossless INT8/FP16 quantization, weight pruning, and hardware-accelerated inference for resource-constrained silicon.
- Model Quantization
- LiteRT .tflite / Executorch .pte
Robotics & Control
Deterministic Motion Planning. Real-time state estimation, 6-DOF trajectory generation, and closed-loop control systems for high-precision actuation.
- Reinforcement Learning
- Inverse Kinematics
- Genesis Simulation
- ROS 2 Navigation
Computer Vision
Edge-Native Vision Intelligence. Low-latency object detection, semantic segmentation, and Vision pipelines
- Object Detection (YOLO)
- Semantic Segmentation
- Real-time Tracking
Industrial IoT
Cloud native machines. Robust telemetry pipelines that handle millions of data points.
- MQTT / CoAP Protocols
- Fleet Management
- OTA Updates
Backend & API
High-performance servers to manage your device fleet. Built with Django / FastAPI
- REST & GraphQL APIs
- Real-time WebSockets
- Docker Microservices
Need a custom PCB designed?
We have partners for hardware manufacturing and enclosure design.
Talk to usOur Methodology
The R&D Lifecycle
Feasibility Study
We analyze physical constraints such as power budget, connectivity range, environmental factors, regulatory requirements etc to give you a report on it's feasibility
Rapid MVP and Bench Testing
We use off-the-shelf components (Raspberry Pi, Jetson, ESP32, STM32) so as to validate Firmware, Software and AI models before committing to custom hardware.
Industrialization and DFM
This part is where we optimize for production. Custom drivers, latency reduction, model quantization, custom PCB integration, and firmware hardening.
Deployment
Scaling the fleet with OTA update infrastructure, telemetry pipelines, and cloud dashboard setup for monitoring thousands of devices. This means, you don't have to worry once your device ships.
AgriTech
Automated harvesting, crop monitoring with on-device computer vision.
Manufacturing
Real-time defect detection, predictive maintenance, and quality inspection systems.
Healthcare
Medical imaging AI, wearable diagnostics, and patient monitoring edge devices.
Defense
Autonomous drone navigation, surveillance systems, and tactical edge computing.
Energy
Smart grid monitoring, renewable energy optimization, and predictive equipment analytics.
Smart Cities
Traffic management, environmental sensing, and infrastructure IoT at city scale.
Case Studies
Engineered Results.
How We Built a Real-Time AIoT Fuel Monitoring System Using CAN Bus and a Mobile-First Data Pipeline
A fleet monitoring system using CAN device and mobile first data management enabling GPS, fuel amount, fuel intake and intake intent with driver and vehicle identification data
CORTEX: A 3DOF Robotic Arm Controller Software
Custom robot controller software
Neocortex
A SIMD based deep learning system built for Digital Ink Recognition system implementation purely in dart
Technical Insights
From the Engineering Lab.
NemoClaw: The Security Layer AI Agents Actually Needed
NVIDIA's NemoClaw doesn't replace OpenClaw — it wraps it inside an isolated Linux sandbox enforced by Landlock, seccomp, and network …
How LiveKit Works: The Complete Engineer's Guide
You've probably heard "real-time voice AI" thrown around a lot lately. Agents that answer your phone, book appointments, handle support …
DataFlow: An AI-Powered Data Annotation Platform
Data labeling is one of the biggest hidden bottlenecks in ML projects. In this post, I walk through how I …