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Vaidio (aka IronYun) has deep AI technical expertise. We have developed Agentic AI solutions that can detect the electrical harmonic anomalies for predictive machine failures.
About
Vaidio has developed industry leading Agentic AI analytics for the application of manufacturing 4.0, smart cities and many industrial operations applications. For example, Vaidio's AI vision software platform analyzes camera feed to turn sight into insight - providing real time alerts, forensic search capabilities, and business intelligence that helps you operate more safely, securely, and effectively.
Vaidio Agentic AI video analytics software can make decisions and taking actions in pursuit of objectives without constant human intervention.
Key Benefits
Agentic AI refers to artificial intelligence systems that exhibit a degree of autonomy—acting as independent agents capable of making decisions, setting sub-goals, and taking actions in pursuit of objectives without constant human intervention.
This concept contrasts with traditional, task-specific AI systems that typically execute predefined instructions. Here are some key aspects:
· Autonomy: Agentic AI is designed to operate independently, assessing its environment and making decisions based on that data.
· Goal-Directed Behavior: Rather than merely reacting to inputs, these systems can establish and pursue their own objectives, adapting their strategy as circumstances change.
· Dynamic Decision-Making: Such AI systems may use methods like reinforcement learning, enabling them to learn from experience and improve over time.
· Ethical and Safety Considerations: With increased autonomy comes the need for robust oversight mechanisms to ensure that the AI’s actions align with human values and safety requirements.
In essence, agentic AI represents a shift toward more sophisticated, self-directed systems that could revolutionize areas such as robotics, autonomous vehicles, and complex decision-making systems.
Applications
We plan to develop Agentic AI analytics software for the applications of detecting equipment fatigue before failure occurs. The application software shall monitor the equipment electrical harmonic data and make predictions when equipment show early signs of performance degradation and potential failure.