Astrikos.ai offers a Smart Infra Platform that utilizes machine learning and deep reinforcement learning to analyze unstructured streaming data from operational systems in smart cities and industries. This platform provides real-time insights and predictive analytics, enabling data centers and other sectors to enhance operational efficiency and proactively manage emerging challenges.
Funding
$0 raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Data centers and smart cities face challenges in optimizing operational efficiency and proactively managing emerging issues due to the complexity of analyzing unstructured streaming data from diverse operational systems. Traditional methods struggle to provide real-time insights and predictive analytics necessary for effective decision-making under uncertainty.
Solution
Astrikos.ai offers a Smart Infra Platform (S!aP) that leverages machine learning and deep reinforcement learning to analyze unstructured streaming data from operational systems, providing real-time insights and predictive analytics. The platform integrates data, model, inference, and interface components to enable data centers and smart cities to achieve operational excellence. By converging Operational Technology capabilities (like OPC, SCADA, and DCS) with Business Intelligence, eGovernance, Mobile Applications, and Asset Management, the S!aP platform facilitates holistic, inter-disciplinary data analytics. This allows leaders to respond proactively to emerging challenges, improve citizen services, and enhance the reliability of physical and digital infrastructure.
Target Audience
The primary target audience includes operators of data centers, smart cities, smart campuses, and Industry 4.0 environments seeking to enhance operational efficiency, sustainability, and resilience.
Features
- Real-time analysis of unstructured streaming data using machine learning and deep reinforcement learning
- Predictive and prescriptive analytics for proactive decision support
- Integration of Operational Technology (OT) and Business Intelligence (BI) systems
- Support for diverse applications including smart cities, data centers, intelligent networks, and Industry 4.0
- Modular solutions including Cognus for data center optimization and Omnific for smart city governance
- i2MIS (Intelligent Integrated Management Information System) providing predictive insights