ABI-IDSS — Anomaly Detection System over Big City Data Flows
Detect and identify anomalies in large systems and data streams. Rapid detection, evaluation, and isolation/identification of events and anomalies in complex multi-component systems and dynamic networks, such as: - Hardware and software systems – fast anomaly detection with low false alarm rates; - Cybersecurity – detection of cyberattacks with minimal latency at a given low level of false alarms; - Threats – quickly detect and prevent threats and enemy activity (gangs, terrorist groups); - Medicine and epidemiology – early detection of epidemics with a minimum level of false alarms;
Technical Architecture
Technology
TR Level
Software Requirements Specifications (SRS) Overview
Tech Platform
Digital Transformation Domain
Project Type
Service Model
Business and Economic Impact
Industry
Project Status
Successfully Deployed in Industry
Unit Cost
$15,000,000
Pricing Model
Social & Environmental Impact
Uninterrupted Delivery of Heat, Water, and Energy Resources: Our AI-powered platform ensures seamless and reliable supply of essential utilities—including heat, water, and energy—by leveraging advanced predictive analytics and smart automation. This intelligent infrastructure management minimizes service disruptions, enhances operational efficiency, and supports sustainable urban development. By integrating real-time monitoring and automated decision-making, organizations optimize resource allocation and guarantee consistent utility access for communities.
Reduction of Inefficient Use of Heat and Energy Resources: Harnessing cutting-edge artificial intelligence, our solution actively identifies and eliminates inefficiencies in heat and energy consumption. AI-driven optimization not only reduces waste but also lowers operational costs and environmental impact. By promoting energy conservation and sustainable practices, businesses and municipalities achieve measurable improvements in resource utilization, comply with green regulations, and reinforce their commitment to social responsibility and environmental stewardship.
Economic Impact
Accident Prevention Through Predictive Maintenance: Powered by advanced artificial intelligence and real-time analytics, our platform enables up to 90% reduction in accident risk by forecasting equipment failures before they occur. This proactive, AI-driven approach minimizes costly downtime, optimizes asset utilization, and significantly lowers operational expenses—delivering measurable economic impact and maximizing return on investment.
Rapid Detection of Cyber Attacks with Minimal False Alarms: Leveraging cutting-edge machine learning and intelligent automation, our solution swiftly identifies cyber threats with minimal delay while maintaining a low false-positive rate. By ensuring robust cybersecurity, organizations protect critical infrastructure, avoid financial losses, and maintain business continuity—empowering sustainable growth and economic resilience through AI-powered security.