Manual Monitoring: Teams rely on static thresholds and operators constantly watching displays, missing critical process deviations.
Siloed Expertise: Process engineers face delays due to dependence on data scientists for model creation and deployment.
Overwhelming Complexity: Scaling insights across operations requires a reliable data pipeline and a balance of coding expertise and process knowledge, which most tools fail to provide.
Slow Iteration Cycles: Back-and-forth between domain experts and data scientists hinders implementation and continued innovation.
Quartic Intelligence integrates rule-based logic, complex event processing, and advanced analytics into a unified platform. Designed for both process experts and data scientists, it seamlessly creates and deploys intelligent workflows and models without the delays of traditional tools.
Rules Engine
Define and automate alerts based on thresholds and process limits with an easy-to-use interface.
Event Frames
Perform complex event processing to track anomalies, process deviations, and batch inefficiencies in real-time.
Expressions
Create custom, calculated data points for metrics like efficiency, OEE, or daily totals through a no-code UI.
Model Builder
Empower process engineers to create their own ML models using AutoML. Create prediction, anomaly detection, and classification models through a guided, no-code workflow.
Jupyter Notebook
Data scientists can design, code, and deploy analytics and machine learning models using familiar libraries and frameworks.
ML Operations Pipeline
Deploy, monitor, and manage all your ML models. Whether they are Quartic-created or external models, including mechanistic and first-principles models, they can all be integrated and universally managed.
Build models, analyze data, define KPIs, create rules, track excursions, and perform root cause analysis with intuitive no-code tools.
Iterate faster using native tools like Jupyter Notebook or using your own tools integrated into Quartic’s data and ML pipelines.
Outputs integrate easily with both legacy OT and modern IT systems, making it easy to deploy and consume analytical results wherever you need them.
Designed to scale insights from individual equipment and processes to enterprise-wide deployments across multiple products, lines, and sites.
"I don’t have enough data" is no longer an excuse. Manufacturers rarely have large, clean, labelled data sets that big data algorithms require. Quartic works with smaller, imperfect data sets for accelerated ROI.
Real-time intelligence built on AutoML, rules, and event processing with built-in root cause analysis.
No-code tools reduce reliance on specialized expertise for day-to-day operations.
Equal support for non-coding and coding users with tailored tools and workflows for both.
Minimize back-and-forth between SMEs and data scientists, accelerating implementation and iteration.
Quartic Intelligence allowed us to detect and address process inefficiencies without needing constant support from data scientists.
With Jupyter Notebook integration, we could develop and iterate machine learning models faster than ever before.
Transform your operations with Quartic Intelligence. Take the next step toward agile, scalable, and intelligent manufacturing.
