End-to-End AIoT Engineering
Turn your AIoT idea into a working MVP.
We build the full AIoT stack, hardware, firmware, edge AI, and cloud, so founders can focus on what matters
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 Bureaucracy,
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.
Robotics & Control
Deterministic Motion Planning. Real-time state estimation, 6-DOF trajectory generation, and closed-loop control systems for high-precision actuation.
Computer Vision
Edge-Native Vision Intelligence. Low-latency object detection, semantic segmentation, and vision pipelines.
Industrial IoT
Cloud-native machines. Robust telemetry pipelines that handle millions of data points.
Backend & API
High-performance servers to manage your device fleet. Built with Django / FastAPI.
Need a custom PCB?
We have partners for hardware manufacturing and enclosure design, so the whole product ships from one team.
Our Methodology
The R&D Lifecycle
Feasibility Study
We analyze the physical constraints, such as power budget, connectivity range, environment and regulatory requirements, and report on whether the idea is feasible.
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.
Healthcare
Medical imaging AI served from an edge inference server.
Manufacturing
Live telemetry and dashboards for factory floor machines.
Robotics
Autonomous control and terrain vision for competition robots, on the ISS and on simulated Mars.
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.
How Much Does It Cost to Get a Prototype Made? Smart Devices in 2026
Getting a works-like smart device prototype made costs $275–$660 in parts and fees plus $1,400–$3,500 per engineer-week, so engineer-weeks set …
Custom PCB Prototype or Dev Board? When to Switch
Build the first prototype on a dev board, move to a custom carrier board that reuses pre-certified radio modules when …
What to Prepare Before Hiring an Embedded Engineer (Checklist)
Twelve written answers, from the user scenario to who owns the code, let an embedded engineer quote and test your …
It's time to build.
Tell us the hardware, the constraint and the deadline. You'll talk to the engineer who'd do the work.
Start a Project