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Intelecy

No-code industrial AI platform for process engineers and operators
Manufacturing & Robotics
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Intelecy

DEVELOPER
Intelecy
WEBSITE
SOCIAL
NETWORKS
SUPPORTED
PLATFORMS
STARTING PRICE
Pricing on request
FREE TRIAL
Yes
PRICING TYPE
Free trial
CARD REQUIRED
BEST FOR
Business
SUPPORTED
LANGUAGES
EN
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AI TEHNOLOGIES
Description

Intelecy is a no-code industrial AI platform that empowers process engineers and operators to build and deploy machine learning models without writing a single line of code. Designed specifically for the manufacturing and process industries, the platform enables teams to optimize efficiency, improve product quality, reduce costs, and support sustainability objectives using data already available within their operations.

The platform connects securely to existing industrial systems and protocols, including historians and distributed control systems (DCS), via the Intelecy Gateway. This integration component enables fast onboarding and scalable deployment across multiple sites while allowing real-time predictions to stream back into control systems for closed-loop AI automation. Built-in MLOps capabilities handle model deployment, monitoring, and maintenance automatically.

Core capabilities include a high-speed trend tool for analyzing multivariable time series data, anomaly detection models that identify deviations from expected behavior, forecasting models to anticipate and mitigate operational issues, and the Data Explorer for advanced analytics and in-depth process insights. All applications are built on a library of algorithms and analytics optimized specifically for industrial data.

Intelecy operates under a strict security program ensuring data privacy, integrity, and availability. Users retain ownership of their data and can access raw data and predictions via API or stream outputs to third-party applications. With no vendor lock-in and low investment costs, the platform is positioned for rapid value creation across industrial operations.

Use cases
  • Detecting anomalies in production processes to prevent equipment failures and unplanned downtime using ML models
  • Forecasting process variables to enable proactive maintenance and timely operational adjustments across industrial sites
  • Optimizing energy use and reducing CO2 emissions in manufacturing processes through real-time AI-driven insights
  • Analyzing multivariable time series data to uncover hidden patterns and correlations affecting production quality
  • Enabling process engineers to build machine learning models in minutes without coding or data science expertise
  • Integrating AI predictions into advanced process control for closed-loop automation without compromising system security
  • Reducing waste and improving yield in food and beverage production through data-driven process optimization
  • Monitoring water and wastewater treatment operations in real time to improve sustainability and resource efficiency
  • Streamlining operational data analysis by eliminating manual data collection and spreadsheet-based plotting workflows
  • Supporting power and renewable energy operators in forecasting output and optimizing plant performance with AI
  • Empowering frontline operators to understand process interconnections and act on live predictions within their control room environment
  • Connecting to industrial data sources within one to two days for rapid onboarding and immediate efficiency gains
Features
No-code ML model builder, Anomaly detection, Forecasting models, Trend analysis tool, Data Explorer, Closed-loop automation, Industrial system integration, MLOps built-in, API access, Real-time data streaming

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