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    Agent SAIF

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    Sold by: XenonStack 
    Agent SAIF (SAIF Aviator) is an Autonomous Vision Intelligence Framework built natively on AWS to deliver real-time, multimodal analytics and decisioning at the edge. It combines computer vision, deep learning, and agentic orchestration to automate surveillance, inspection, and operational workflows across manufacturing, logistics, aviation, energy, and public safety. Leveraging AWS EKS, SageMaker, Bedrock, and IoT Core, Agent SAIF enables edge-first visual intelligence, secure data pipelines, autonomous agents for detection and tracking, and continuous learning loops. Enterprises use SAIF to reduce manual monitoring, improve accuracy, accelerate incident response, and scale visual AI reliably across distributed environments

    Overview

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    Key Features

    1. Autonomous Multi-Agent Vision Platform AWS-native framework for real-time detection, tracking, and decision automation at the edge.

    2. AI-Driven Visual Intelligence Agents perform object detection, anomaly detection, compliance checks, and autonomous tracking across drones, cameras, and sensors.

    3. Edge-First, Low-Latency Architecture Processes video locally on GPU-enabled hardware for reliable intelligence—even offline.

    4. Continuous Learning SageMaker pipelines and Bedrock validation automatically retrain and improve models.

    5. Secure, AWS-Native Data Handling S3, DynamoDB, KMS, IAM, and encrypted IoT Core channels deliver secure storage and auditability.

    6. Full AWS Integration Works with EKS, Lambda, EventBridge, IoT Core, OpenSearch, CloudWatch, QuickSight, and SageMaker.

    Use Cases

    1. Real-time visual inspection and defect detection in manufacturing.

    2. Autonomous drone inspection for aviation, energy, and logistics.

    3. Smart facility monitoring using cameras and IoT sensors.

    4. Perimeter, crowd, and public safety surveillance with automated alerts.

    5. Predictive maintenance via visual analytics and sensor fusion.

    6. Continuous model retraining for large-scale distributed vision systems.

    Target Users

    1. Operations & Safety Teams

    2. AI/ML & Data Science Teams

    3. Security & Compliance Teams

    4. Developers & Engineers

    5. Aviation, Manufacturing, Energy, Logistics Leaders

    6. Public Sector Agencies

    Benefits

    1. Cuts manual monitoring and inspection workloads by up to 65%.

    2. Enables ultra-low-latency, edge-based decisioning.

    3. Enhances safety and compliance with automated anomaly detection.

    4. Improves response speed and operational visibility.

    5. Lowers inspection and infrastructure costs with autonomous drones.

    6. Boosts model accuracy through continuous learning.

    Value Proposition

    1. Agent SAIF delivers autonomous, continuously learning vision intelligence at the edge—fully integrated with AWS.

    2. It unifies detection, tracking, compliance, and orchestration into a single, scalable framework, removing manual bottlenecks and enabling real-time, automated decisions across operations.

    3. Designed for high-precision industries, SAIF drives faster inspections, safer operations, lower costs, and measurable performance gains

    Highlights

    • Real-time edge intelligence with autonomous agents for detection, tracking, and anomaly recognition across drones, cameras, and sensors.
    • Continuous learning using SageMaker and Bedrock for model retraining, validation, and adaptive decision automation at scale.
    • AWS-native integration with EKS, IoT Core, EventBridge, Lambda, S3, and DynamoDB for secure, scalable, and low-latency visual operations.

    Details

    Sold by
    XenonStack 
    Categories
    Data Analysis 
    Customer Experience Personalization 
    Implementation 
    Delivery method
    Deployed on AWS
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