Computer Vision
Design, train, and deploy advanced computer vision models capable of detecting, classifying, tracking, and interpreting objects in real time.
ARTIFICIAL INTELLIGENCE · COMPUTER VISION · EDGE AI
AI Solutions
AI-powered computer vision and intelligent perception systems. We build AI capable of understanding and interpreting the physical world in real time.
OUR EXPERTISE
Real-time perception, engineered end to end
Core capabilities for building AI systems that see, understand, and act on the physical world.
Real-Time Perception Pipelines
Develop high-performance perception pipelines capable of processing multiple video streams and sensor inputs with low latency.
Multi-Sensor Fusion
Combine information from multiple sensing technologies, including:
- RGB cameras
- Thermal cameras
- Radar
Improving accuracy, robustness, and environmental awareness.
Edge AI Optimisation
Optimise AI models for deployment on edge devices and GPUs using technologies such as:
- CUDA
- TensorRT
- ONNX Runtime
Focused on high performance and low latency.
Validation & Testing
Validate AI systems through both simulation environments and real-world testing to ensure reliability under varying operating conditions.
HOW WE WORK
Our AI development process
A disciplined workflow that takes perception systems from first principles to reliable production deployment.
- 01
Requirements Analysis
Understand the problem, constraints, and success criteria before any modelling begins.
- 02
Data Collection
Gather, label, and curate data that represents the real target environment.
- 03
Model Development
Design and train models tailored to the specific perception task.
- 04
Optimisation
Tune and compress models to fit the target hardware and latency budget.
- 05
Deployment
Ship models to edge devices, GPUs, or the cloud as a production pipeline.
- 06
Testing & Validation
Verify accuracy and reliability across simulation and real-world conditions.
- 07
Continuous Improvement
Monitor performance and iterate as data and requirements evolve.
TECHNOLOGIES
Our technology stack
The tools and frameworks we use to build and ship performant AI.
- Python
- PyTorch
- TensorFlow
- OpenCV
- CUDA
- TensorRT
- ONNX Runtime
- Docker
- Linux
WHY GAMERADA
Why companies build their AI with us
Expertise in real-time AI systems
Deep experience building perception systems that run under genuine real-time constraints.
Focus on performance and reliability
Engineered for speed and dependable behaviour once in production.
Scalable architectures
Designs that grow from a single prototype to many streams and devices.
Efficient GPU and edge deployment
Models optimised to make the most of GPU and edge hardware.
Practical engineering approach
Pragmatic solutions focused on what actually ships and works.
End-to-end AI development
One team from first concept through to deployed, validated systems.
LET’S TALK
Have an AI or computer vision project in mind?
Tell us what you’re building and we’ll show you how we’d approach the perception, performance, and deployment.