Embedded AI
Empowering AI for Every Device
01
Edge Computing Infrastructure
Dedicated low-power CPU/GPU modules, FPGAs and customized single-board computers embedded directly into devices to empower localized AI/ML capabilities with adequate computational resources.
02
Embedded AI Platform
An integrated software framework running across the edge ecosystem, featuring modular model management interfaces, API layers for gathering and preprocessing diverse sensor streams, and service handlers to deliver inferences to trigger autonomous behaviors.
03
Computer Vision and Sensor Fusion
Sophisticated deep learning vision stacks and multisensory processing pipelines expertly crafted to derive meaningful real-world insights from visual data, audio inputs, biometric readings and more, isolated or fused together.
03
Machine Learning
Custom neural architectures trained on exhaustive edge data and purpose-engineered for the embedded context to continuously learn, classify scenarios, detect anomalies, predict outcomes, inform decisions and execute responses using localized operational data.

banking case 1

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Case study 1

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