The company develops nano-engineered sensors that passively and continuously record asset conditions through permanent physical changes. These wireless, zero-power sensors transmit data to a cloud platform for decryption and processing, enabling efficient and sustainable industrial operations.
Funding
Funding not disclosed
Founders
Product
Problem
Industrial assets are subject to degradation from cracking, fatigue, corrosion, and erosion, leading to unplanned downtime, safety risks, and increased operational costs. Traditional monitoring methods are often manpower-intensive, costly, and provide limited data, hindering proactive maintenance and efficient operations. Existing sensor technologies often require continuous power, limiting their scalability and deployment in remote or hazardous environments.
Solution
Predyct offers a solution for industrial infrastructure monitoring that combines nano-engineered sensors with an AI-powered cloud platform. The company's passive IoT network uses proprietary sensors that record asset conditions through permanent physical changes, eliminating the need for continuous power. These sensors transmit data wirelessly to a cloud platform where it is decrypted, processed, and analyzed using hybrid (physics + Machine Learning) analytics. The platform provides predictive insights, enabling early anomaly detection, proactive planning, and optimized maintenance for industries such as renewable energy, refining, petrochemical, pipeline, offshore/onshore facilities, and mining.
Target Audience
The primary target audience includes stakeholders in renewable energy, refining and petrochemical, pipeline and offshore/onshore facilities, and mining industries who need to optimize operations, reduce downtime, and ensure the safety and longevity of their critical assets.
Features
- Nano-engineered sensors that continuously record data via permanent physical changes without requiring power.
- Wireless data transmission to mobile devices or fixed gateways for remote monitoring.
- Cloud-based data analytics platform using a combination of physics-based models and machine learning.
- Predictive insights for early anomaly detection, proactive planning, and performance optimization.
- Sensor options for detecting crack, fatigue, corrosion, and erosion, as well as integration with partner sensors for strain, humidity, temperature, and pressure.
- Battery-free sensor network options for long-term deployments.
- REST API for integration with customer and partner ecosystems.