EDGE Vision AI Platform
(ViSRUPT)

AiFA makes superhuman recognition systems that disrupt existing processes. Our software orchestrated, robust, edge-optimized Ai Camera systems accurately recognize objects and activities across many enterprise use cases to deliver insights and actions.

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Why Choose Our Edge Vision AI Platform?

At AifaLabs, we’ve taken Edge AI to the next level with our Edge Vision AI Platform. Designed for enterprise use, it delivers unmatched accuracy in object and activity recognition.

Perfect Recognition
Advanced algorithms tailored for real-world environments.
End-to-End Solutions
From AI cameras to orchestration software, we’ve got it covered.
Seamless Integration
API-first design for easy adoption across enterprise systems
Future-Ready Scalability
Built for growth, upgrades, and global deployments.

Transforming Industries

Our Edge Vision AI platform (ViSRUPT) is designed to drive innovation and efficiency across industries.

Edge AI — ViSRUPT

Digital Video Processing & Management

AiFA Labs has developed a digital video logistics, storage, playlisting, and display platform for advertising in cinemas and signages.

Our company has already served customers like IBM, TCS, Airtel, Kinetic, and Reliance for digital video-related software.

AI Analytics & Autonomous Devices

Pivoted from digital video logistics to digital video analytics as market potential was enormous, demand is agnostic to cyclical variations, and the need is global.

Started building Autonomous Vision System hardware to meet the needs of high end vision Ai. Extended application to adjacent markets as they are severely under served.

With clients from USA, Japan and India – the company addresses the needs of high end, multispectral, mission critical autonomous vision requirements.

Digital Transformation

Business Model Transformation

Business model transformations focus on the basic building blocks of how value is delivered in a specific industry. For instance, some companies undergo digital transformation to transcend traditional business models. Netflix's redesign of video distribution is a classic example.

Domain Transformation

Domain transformation involves breaking into a new market domain with existing resources and expanding to meet future needs. Some cloud computing companies, such as AWS, are clear examples of how businesses can march into new domains from simple e-commerce positions.

ViSRUPT: Shaping Modern Work With Superhuman Recognition

The intersection of AI-based vision analytics, edge processing, and enterprise software provides companies with new opportunities to enhance their operations in the field by serving customers in stores and service centers, performing quality inspection of products in plants and warehouses, and managing safety and operations of vehicles, among others.

By introducing the capability to detect, classify, recognize, and track different objects and activities in real-time 24/7, enterprises can derive significant additional value from their current processes. The latest technology modernizes how they serve customers, increase employee productivity, reduce leaks and defects in products, and ensure the safety of their assets.

AiFA Labs offers these key technology capabilities in a tightly integrated, resilient, easy-to-deploy, easy-to-operate solution. Our solution makes it a snap for enterprises to onboard these next generation technologies.

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Edge AI's Solution Stack

By working with many sensors and algorithms, Edge AI's 360° situational awareness allows for better inference and intelligent, instant actions. All the algorithms have been trained with our own generated and standard data sets. The fine-tuning of the algorithms and its weights have resulted better accuracy.

Finally, all the algorithms have been optimized to run on the target architecture, ensuring speed and cost-effectiveness.

Ops Command in Cloud
Orchestrator
Data visualizer
Remediator
Knowledge repository
AI at Edge
Artifacts manager
Action trigger
Inference engines
Optimized AI algos
Device on Ground
Purpose designed
Resilient architecture
Multiple actuators
Multiple sensors

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    Date: 10/10/2024
    Time: EST - 10:30