Why would batch process manufacturers want more than their MES to manage operations? To gain real-time intelligence with AI-based optimization at scale. Quartic.ai’s industrial DataOps platform is open to handle data from and serve intelligence to nearly any plant floor or enterprise application. It focuses on confident, timely decisions, complementing MES, LIMS, EAM, and other operations software that focuses on execution.
Closing the Gaps
Manufacturers have long had challenges closing the gap between MES and ERP. This integration may suffer for various reasons, but Quartic plays a role in ensuring the data from all systems is available for operations intelligence. Like older automation or OT systems, some batch process MES and LIMS systems are not entirely open to sharing data. Quartic can again manage that data and put it into analytics data streams.
Industry-Focused Digital Platform
Quartic has spent years refining a comprehensive, enterprise-capable platform for digital DataOps, MLOps, and intelligence delivery for batch process industries. It has successes in pharmaceutical and life sciences, CPG, food and beverage, specialty chemicals, and metals and mining. This means they are ready to handle time-series and relational data, spectral data, real-time and historical data, and events. This company understands batch issues, phases, and challenges. The variability and interdependencies of these industries that make them difficult for others are the starting point for Quartic. The team has expertise in process manufacturing and reliability, data science and AI, and enterprise software development.
Comprehensive Platform
The Quartic Intelligent MOM Platform has three main components: DataOps, Intelligence, and Applications. This is an unusually broad set of capabilities for manufacturing operations, and Quartic is working to ensure that each component is complete.
Full-Stack DataOps
Manufacturers have been discovering in their Smart Manufacturing and AI-based initiatives that getting data ready to use is more complicated than first meets the eye. Quartic’s platform includes OT and IT data connectors and ingestion from many sources, with the capability to put it all in context through a data fabric. This might also be called a unified namespace (UNS). The full stack DataOps with enriched data serves as the enterprise broker that can feed many analytical models, use cases, and feed source systems for wider distribution.
AI Platform
For Quartic, AI is a founding focus, not a new addition. Beyond DataOps, this platform includes MLOps and a full array of industrial AI capabilities. Whether you want an assistant for your people making decisions, a predictive engine to drive forward-looking insights and enable preparatory or preventive action, or a fully autonomous AI agent, these are proven in the platform. While agentic AI has become a hot buzzword in the last year, Quartic has taken this approach for about 5 years.
Applications
Quartic has also had applications available for batch manufacturers for years. The applications may be native or offered with a partner. There are dozens of them, mainly developed at a customer request and developed into a reusable application. Categories of applications include:
- Product performance analysis (all native)
- Enhanced quality
- Maintenance management
- Material tracking
- Energy Optimization
- Production scheduling (with partners)
Flexible for Fit and Future
Quartic has been building this extensive and robust functionality for many years, working with customers to expand in areas of greatest need. Their goal is to create a flexible and robust system that’s also quick to deploy. Flexibility matters to fit companies at different stages of maturity in data integration. It also matters to keep up with future needs as they evolve.
Thanks, Rajiv Anand, Vinodh Rodrigues, and Bryan Pope, for getting us back up to speed! We look forward to following Quartic’s progress in the market.