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Edge AI

S&R’s Edge AI Framework is designed to bring intelligence closer to where data is generated — enabling real-time, low-latency decision-making in mission-critical environments. In the Defence sector, our Edge AI solutions support autonomous surveillance, secure battlefield analytics, and situational awareness through on-device video processing, sensor fusion, and object detection models optimized for drones, naval systems, and rugged IoT devices. For Healthcare, we can deploy edge-compatible models for imaging diagnostics, patient vitals monitoring, and offline-first mobile health applications — ensuring care continuity in rural, remote, or low-connectivity settings.

 

In Banking & Insurance, S&R’s Edge AI capabilities empower on-premises fraud detection, biometric verification, and regulatory compliance monitoring — all without compromising data sovereignty. Our execution model includes containerized deployment of ML models via Kubernetes on edge gateways, integration with hardware accelerators (TPUs, GPUs), and real-time streaming via Kafka or MQTT. With embedded MLOps, drift detection, and OTA (Over-The-Air) updates, S&R ensures that edge deployments remain adaptive, secure, and audit-ready across regulated, high-stakes sectors.

 

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ODIN Ai

Powered by Agentic Intelligence

Autonomous. Ontology-Aware. Outcome-Driven. 

ODEN Ai encompasses:

Ontology: Meaningful data starts with a structured understanding

Digitisation: Turns analog chaos into digital intelligence

Ingestion: Securely brings in all data – from cloud to field to edge

Navigation: Autonomous exploration and reasoning across complex datasets

Actionables: Insights that move the needle

ODEN Ai agents are:

Goal-oriented: Pursue outcomes, not just respond

Autonomous: Decide, plan, and adapt without human micromanagement

Compliant & secure: Operate within Zero Trust environments, governed by policies and access controls

Built for on-prem / cloud: All AI capabilities respect data sovereignty, internal firewalls, and compliance rules