iLuminator

iLuminator is Quartic's Industrial DataOps platform designed to unify, contextualize, and operationalize OT and IT data across manufacturing operations. Purpose-built for industrial environments, it accelerates ROI from decision intelligence applications by delivering analytics-ready, real-time, and contextualized data from sources spanning PLCs, MES, LIMS, historians, SCADA, ERP, and QMS systems — all without custom coding or bespoke integration work.

The platform is aimed at manufacturers in life sciences, chemicals, consumer packaged goods, food and beverage, and other process industries who need to bridge data silos, enable predictive analytics, and scale Industry 4.0 adoption. iLuminator serves process engineers, data analysts, quality and compliance teams, reliability and maintenance professionals, and digital transformation leaders seeking a secure, scalable foundation for industrial AI and real-time decision-making.

Core DataOps Workflow

• Connect: Ingest real-time signals from PLCs, MES, LIMS, and historians using native connectors including OPC UA, MQTT, and Sparkplug B — no coding or custom interfaces required.
• Asset Context: Define a Unified Namespace of equipment, process units, and production lines using ISA-95/ISA-88 or user-defined schemas to produce rich, analytics-ready data models.
• Product Context: Link ERP, LIMS, QMS, and MES data with product genealogy and quality specifications to enable end-to-end traceability and digital product twins.
• Process Context: Align recipes, unit operations, and campaigns in real time with process and equipment data to drive consistency of quality and yields across batch production.

Key Capabilities

• Data Processing with Context-in-Motion: Combines OPC UA and MQTT edge connectivity with Kafka's streaming power through a custom context engine, delivering low-latency pipelines ready for advanced analytics.
• Kafka at Industrial Scale: Built on Kafka to create resilient, large-scale pipelines integrating MES, OT, and business data for manufacturing-grade system streams.
• Unified Data with Kafka and MQTT: Combines publish-subscribe architecture with OPC UA and MQTT to create a unified namespace, and supports change data capture (CDC) from IT systems.
• Bi-Directional No-Code OT Integration: Out-of-the-box support for OPC UA, MQTT, PI Historian, and batch systems — no developers needed.
• Scalable Event Processing Engine: Event-based streaming using Kafka and Spark for high-volume, low-latency performance.
• Industrial-Grade Data Modeling: Ready-to-use ISA-88/ISA-95 templates for contextual modeling across all asset and process types.

Distinctive Platform Features

• Event-Driven Architecture: Designed for real-time industrial applications using Kafka and Spark for low-latency stream processing.
• IT-OT Integration Without Code: Connect MES, LIMS, SCADA, and ERP systems securely with plug-and-play adapters.
• Contextualized, Analytics-Ready Data: Generate models for asset, batch, product, and process-level context to drive intelligent applications.
• Unified Namespace Across Manufacturing: Standardize how teams define and consume data with publish-subscribe pipelines and consistent models.
• Edge-to-Cloud Flexibility: Deploy on-premises, in the cloud (AWS, Azure, GCP), or in hybrid environments to suit any IT and OT infrastructure.
• Governed, Secure Architecture: Granular access controls, traceability, and GxP-ready pipelines designed for compliance-heavy industries such as life sciences and pharmaceuticals.

Demonstrated Industrial Outcomes

• 10% yield improvement and 3x faster deviation detection through AI-driven fermentation optimization in biopharma.
• 80% reduction in lab testing costs and 5x faster root cause analysis through predictive quality optimization in CPG manufacturing.
• 7x higher mean time between failures (MTBF) and 100% reduction in unnecessary maintenance through predictive maintenance in pharma operations.
• 15% more production capacity achieved with predictive harvest forecasting.
• 11% higher purity through in-silico optimization in vaccine purification.

iLuminator supports flexible deployment across AWS, Azure, GCP, on-premises data centers, and edge environments, making it adaptable to diverse manufacturing IT and OT landscapes. Its GxP-ready, governed architecture makes it particularly well-suited for regulated industries, and it integrates natively with the broader Quartic platform — including the eXponence industrial intelligence layer and applications such as Process Optimizer, Batch MVDA, Automated PAT, and Reliability.