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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Work with the Right Experts
Industry Expertise
A trusted ally with deep expertise embedding intelligence across markets including IoT, robotics, automation, healthcare and more through many successful past projects.
Dedicated R&D Methodology
An ongoing multidisciplinary approach utilizing in-house specialized ML, computer vision and low-level optimization expertise to develop embedded AI solutions tailored for highly constrained embedded environments.
Agile Embedded Development
An iterative Validation-focused process rapidly prototypes, tests and refines embedded features to ensure seamless deployment and stable long-term operation under real-world conditions.
Continuous Optimization Support
Dedicated teams to monitor deployments, provide ongoing updates and optimizations to ensure embedded AI solutions deliver maximum value over the long term.