Our approach
We’re here to help
From autonomous vehicles to facial recognition, computer vision works by replicating aspects of human vision using AI-driven models. We help businesses develop and refine computer vision tasks, ensuring accuracy, scalability, and real-world application.
Case studies
Case Study
iRobot – A Global Consumer Robot Company
Automating the platform infrastructure.
Case Study
Restaurant Services, Inc.
RSI’s machine learning platform can now support any workload regardless of volume, velocity, and variety of data. As a result, business users have more trust in their data.
Case Study
Lucia Health Guidelines
Solution creation that captures and analyzes EKG images using custom computer vision code. These EKG results are compared with patient data to determine a personalized risk assessment.
FAQs
Yes, we use open-source computer vision libraries where appropriate, balancing flexibility, scalability, and customisation based on your project requirements.
We refine models using high-quality visual data, advanced image processing techniques, and continuous validation to improve precision in pattern recognition, image classification, and object detection.
We assess current processes and build solutions that integrate seamlessly. Our focus is on practical, scalable implementations that deliver measurable impact.
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Who we are
Explore how our culture and expertise fuel digital innovation.