Custom Edge AI & Computer Vision Engineering
Embedded Vision.
Engineered for Speed.
We squeeze performance out of hardware others give up on. From ESP32 TinyML kernels to Jetson C++ pipelines, we help companies deploy real-time computer vision on constrained edge devices.
Engineering Services
From "Is this possible?" to "Make it run 24/7." We provide specialized engineering at every stage of the edge AI lifecycle.
Hardware Feasibility & Strategy
Don't manufacture hardware that can't handle the load. We benchmark your model against specific thermal and power constraints on Jetson Orin, Raspberry Pi, or ESP32-S3.
- • FPS & Thermal Analysis Report
- • Camera Driver Compatibility Check
- • "Go/No-Go" Technical Verdict
Rapid Prototyping (MVP)
Move from "Python script on a laptop" to a working edge device. We build the initial firmware, handle sensor bring-up, and package everything in Docker for easy deployment.
- • Sensor Bring-up (MIPI/USB)
- • GStreamer Pipeline Architecture
- • Reproducible Builds (Docker/CMake)
Performance Engineering
Hit the "Python Wall"? We identify bottlenecks and rewrite hot paths in C++17 and CUDA. Reduce latency by up to 10x and slash RAM usage.
- • Code Audits & Profiling
- • Python to C++ Porting
- • Zero-Copy Memory Optimization
Fractional Systems Lead
For startups that need a Senior Architect but aren't ready for a full-time hire. I join your Slack, review every PR, and own the technical roadmap for your edge deployment.
- • Weekly Code Reviews & Architecture Calls
- • "On-Call" for Critical Bugs
- • Roadmap Planning & Hardware Selection
Fractional Software Engineer
Need reliable, senior-level hands-on development without full-time overhead? Get a dedicated embedded vision engineer for ongoing implementation, optimization, and maintenance.
- • Direct code contributions & PRs
- • Daily/weekly implementation sprints
- • Bug fixes, performance tuning, & deployments
- • Slack access & real-time collaboration
Where we deploy.
Manufacturing
Defect detection on high-speed assembly lines using local inference to trigger rejection servos in <15ms.
Smart Cities
License Plate Recognition (ALPR) and traffic flow analysis running entirely on solar-powered edge nodes.
Retail Analytics
Privacy-preserving people counting and dwell time analysis. Video is processed on-device and never stored.
Performance Benchmarks
Our Technical Stack
We maintain open-source SDKs to demonstrate our architecture. We build on the same foundational code we sell.
ESP32 Vision Node
Highly optimized C++ firmware for ESP32-S3. Handles camera drivers, frame buffering, and MJPEG streaming with minimal RAM overhead.
Latest from the Log
We document our engineering challenges. No marketing fluff—just the code, benchmarks, and architectural decisions behind our deployments.
Stop Shipping Folders: Embedding ONNX Models in C++
When deploying to air-gapped factory floors, file paths are a liability. Learn how we compile neural networks and assets directly into a single, bulletproof binary.
Read Deep Dive11001001 11100010
ELF Header...
00101101 11010101
Embedded Vision Hardware Guide (2026 Edition)
Choosing between the latest Jetson Orin NX, Raspberry Pi 5, and ESP32-S3? Get updated benchmarks, power budgets, and thermal data for real-world edge AI in 2026.
Download the Free GuideInside the Report:
- ✓2026 Benchmarks: FPS vs. Watt
- ✓Latest thermal throttling data
- ✓Camera & NPU compatibility matrix
Let's Build It.
Whether you need to optimize an existing model or architect a new edge pipeline from scratch, we are ready to engineer the solution.