Quantrue builds AI-driven software that integrates into existing business workflows to automate complex processes and boost operational efficiency.
Funding
Funding not disclosed
Founders
Product
Problem
Industrial enterprises often collect large volumes of control system and IoT sensor data, but lack the tools to turn that raw information into actionable insights. Without automated analysis, equipment failures are detected only after they cause downtime, leading to high maintenance costs and reduced operational efficiency.
Solution
Quantrue provides AI-driven software that integrates directly into existing business workflows to analyze control system and IoT data in real time. The platform applies machine learning and advanced analytics to predict equipment failures, optimize production parameters, and identify cost‑saving opportunities. Results are delivered through dashboards and APIs that fit seamlessly into the user’s daily processes, enabling faster decision‑making and reduced reliance on manual monitoring. Solutions are customized for each client’s scale and sustainability goals, supporting sectors such as oil & gas, automotive, logistics, and corporate operations.
Target Audience
Primary customers are industrial operators, asset managers, and engineering teams in sectors like oil & gas, automotive manufacturing, and logistics that require automated analytics to improve equipment reliability and operational efficiency.
Features
- Real‑time data ingestion from PLCs, SCADA, and IoT sensors with minimal configuration
- Predictive maintenance models that forecast equipment issues and suggest optimal service windows
- Production optimization analytics that adjust process parameters to improve yield and quality
- Automated reporting and KPI dashboards that integrate with existing enterprise software
- Scalable architecture designed for large‑scale industrial deployments and sustainable operation