Development & Integration
Custom software development for embedded vision, Edge AI applications, and connected devices.
Engineering Areas
Edge AI Vision
Edge Vision Systems
Mobile Vision Applications
Training & Evaluation Data Systems
Embedded Device Engineering
Connected Embedded Devices
OS, ISP & Board Support
Hardware Prototyping
Integration and Infrastructure
IoT & Connected Systems
System & Cloud Integration
CI/CD & Validation Infrastructure
Our Expertise
Embedded Vision Platforms
Practical implementations of computer and machine vision workloads for embedded vision platforms, utilizing Ambarella, Hailo, NXP, and Rockchip SoCs.
Sensor to Decision Pipeline
Low-level sensor and platform work across driver integration, calibration, ISP tuning, BSP development, as well as model porting and optimization for embedded vision systems.
On-Device Inference
Porting and optimizing ML learning models. Getting Edge AI workloads to run efficiently on constrained devices
Performance & Productionization
Optimizing behavior, quality, latency, power, and heat dissipation before the product reaches the field.
Connected Vision Security
Implementing security features and supporting certifiability for connected vision devices.
Device Integration & Maintainability
Device management: firmware updates, remote updates, configuration management, version management, life-cycle management etc.
Why Teams Start With Us
Make It Work on the Edge
Your models hit their targets on a GPU but run too slow, too big, or too inaccurate on the embedded SoC. We quantize, port, and optimize them as well as integrate the entire firmware stack from board support to application until it's production-ready.
Get There in Time
A trade show, pilot, or investor demo won't move, and your team is already stretched. Hiring and ramping up new embedded vision engineers takes months. Our senior and well-integrated engineering team can contribute to your roadmap from week one.
Get It Market Ready
Picking the wrong platform can cost a year, a failed certification delays revenue, and a prototype that works on a desk isn't a product. We help you choose the right hardware, implement your solution, and pass certification, thus turning your prototype into a robust, manufacturable device.
How We Usually Run Development Projects
Frame the scope
We align on the use case, target device, constraints, and what a realistic delivery path looks like.
Check hardware fit
We assess whether the platform can carry the vision workload across compute, memory, power, and thermal limits.
Bring up the system
We get the pipeline running on target hardware, from sensor and runtime integration to on-device inference.
Stabilize for product use
We work through latency, robustness, thermal behavior, and integration issues before rollout.
Prepare for life in the field
We support updateability, lifecycle reliability, and connected-device resilience & security.
Get in Touch
Looking for an Edge AI technology partner? Let’s discuss how we can help you achieve your goals.