Machine Intelligence

When hardware and software combine

We implement fully integrated technology stack for artificial intelligence (AI) systems enabling enterprise use cases in multiple industries. These are complete working systems, not parts of a solution, from semiconductor processors, accelerators, sensors, and trained neural networks.

The AI systems we build enable you to validate use cases and refine your intelligent enterprise strategy prior to full scale deployment.

Full-stack AI System

Full-stack artificial intelligence (AI) system unifies the power of people, machines, and the latest advances in machine learning, sensor fusion, and semiconductor processors. This new AI system architecture is transforming every industry, from automotive to retail. It requires an extensive infrastructure of high performance computing, and connectivity. It is capable to recognize the broader context that it is operating within and respond accordingly, making autonomous decisions or providing data-driven recommendations to users. The combination of contextual perception and sensor fusion is paving the way for machines to learn and engage with real time intelligence capabilities – all in a way that works seamlessly together and intuitively for all industry stakeholders.

We implement full-stack artificial intelligence (AI) systems for enterprise use cases in multiple industries. It means equipping enterprises and machines with full systems, not components, with new AI centric capabilities. Both hardware and software combined is recognized as a single product architecture in its own right. We implement an adaptive testing framework for AI systems to self-correct faults and ensure reliability under various unanticipated circumstances. Advanced machine learning techniques in the form of evolutionary algorithms and reinforcement learning are applied to learn the minimal number of faults that cause minimal or failed behavior of an autonomous system which is under the control of autonomy software.