The startup develops a machine learning system that analyzes large datasets from industrial IoT to enhance predictive maintenance and optimize production processes. By preventing equipment breakdowns and reducing waste and energy consumption, the system helps businesses lower operational costs and improve efficiency.
Funding
$4.7M 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
Industrial companies often struggle to effectively leverage the vast amounts of data generated by their operations due to the complexity of traditional machine learning tools and the need for specialized data science expertise. This makes it difficult for process engineers and operators to optimize production, predict equipment failures, and reduce waste, leading to inefficiencies and increased operational costs.
Solution
Intelecy offers a no-code AI platform that empowers industrial workers to easily build and deploy machine learning models for real-time predictions and process optimization. The platform simplifies the integration of industrial data sources, enabling process engineers and operators to transform raw data into actionable insights without requiring coding skills or data science expertise. By providing an intuitive interface and ready-to-use applications, Intelecy enables users to monitor production processes, detect anomalies, forecast potential issues, and automate closed-loop control, resulting in increased efficiency, reduced waste, and improved sustainability.
Target Audience
Intelecy primarily targets process engineers, operators, and maintenance personnel in the food and beverage, mining, metals and minerals, water and wastewater, power and renewable energy, and chemicals industries.
Features
- No-code interface for building and deploying machine learning models
- Secure integration with common industrial protocols and systems for swift onboarding and effortless scalability
- Real-time monitoring of production processes with intuitive dashboards and alerts
- Advanced analytics tools for uncovering hidden patterns and insights in complex multivariable time series data
- Anomaly detection models for identifying deviations from expected behavior
- Forecasting models for anticipating and mitigating potential issues before they occur
- Closed-loop automation capabilities for streaming real-time predictions back to control systems
- Role-based access control to ensure data privacy and security