We provide complete data cloud platform implementation for data unification and handling large complex data across enterprise architecture. Our platform includes Industry 4.0 & Digital Twins with industrial digital twin hierarchies, OT/IT data unification, predictive and prescriptive asset maintenance, and OEE (Planned vs Actual) monitoring.
The problem isn't a lack of data; it's that your most valuable data is trapped, out of context, and overwhelming. Your factory floor generates millions of data points from diverse systems, creating two major roadblocks:
Streaming every raw data tag from your data historians (Honeywell, Rockwell, Siemens) and OPC UA servers to the cloud is inefficient, expensive, and slow. You're sending a flood of data just to find the few signals that matter.
Once data arrives, it's meaningless without context. The tag PUMP_XYZ_TEMP is just a number until it's linked to an asset from your ERP, a maintenance schedule, and a production batch. Manually building these connections for real-time pipelines is nearly impossible.
We solve both problems with a seamless, three-step platform that intelligently manages data from its source to its final application.
OnPrem, Hybrid, Cloud Implementation of Data Cloud Platform for Data Unification and handling large complex data across enterprise architecture with secure, scalable infrastructure that meets data residency and compliance requirements.
Industrial Digital Twin with hierarchies and assets/equipment mapping. Complete OT/IT Data Unification that creates comprehensive digital representations of physical assets and processes for real-time monitoring and optimization.
Predictive and Prescriptive Asset Maintenance with OEE (Planned vs Actual) monitoring. AI-powered analytics that predict equipment failures, optimize maintenance schedules, and maximize overall equipment effectiveness.
Industrial Sources
Data Historians, OPC UA
Edge Gateway
Smart Filtering
Cloud Mapper
Context & Unification
AI Engine
Intelligence & Insights
Our foundational platform is designed to deliver specific, high-impact outcomes across a range of industrial verticals.
Digital Twin + Prescriptive & Predictive Maintenance: Create a live digital replica of your upstream or downstream assets. Predict equipment failures (pumps, compressors) and get prescriptive recommendations to optimize performance and prevent costly downtime.
Digital Twin + Prescriptive & Predictive Maintenance: Monitor the health and performance of all critical machinery. Move from a reactive to a predictive maintenance schedule, maximizing OEE and extending asset life.
Digital Twin + Prescriptive & Predictive Maintenance: Unify data from HVAC, lighting, and security systems. Predict equipment faults, optimize energy consumption in real-time, and ensure occupant comfort and safety.
Core System of Records + Data Unification + ML/AI Ops: Create a single source of truth for your batch processing. Unify recipe, production, and quality data to monitor KPIs, optimize yield, and build ML models for demand forecasting.
Core System of Records + Data Unification + KPIs + Dashboarding: Converge data from production lines, packaging systems, and supply chain logs. Create real-time dashboards to track production targets, quality metrics, and line efficiency.
Core Records & Data Unification + Data Sciences - ML / AI Ops: Unify data from clean rooms, batch processing, and lab systems (LIMS). Ensure GxP compliance with full data lineage and build AI models to optimize batch consistency and predict yield.
Real-Time KPIs & Dashboards on Top of HIMS: Ingest real-time data feeds from patient monitoring systems, labs, and the base Hospital Information Management System (HIMS). Build live dashboards to monitor patient flow, operating room utilization, and critical alerts.
Our platform is built on a scalable Lambda Architecture, designed to process both high-velocity real-time data (speed layer) and large-volume historical data (batch layer) for comprehensive analytics and AI model training.
Component | Our Recommended Technology | Purpose |
---|---|---|
Edge & Ingestion | AWS IoT Greengrass / Azure IoT Edge, MQTT, Apache Kafka | Securely collect, filter, and stream high-velocity data from machinery. |
Data Lake Storage | Amazon S3 / Azure Data Lake Storage (ADLS) | Cost-effectively store massive volumes of raw IT and OT data. |
Data Processing | Apache Spark on Databricks or AWS EMR | The core engine for transforming, enriching, and analyzing data at scale. |
Data Warehouse | Snowflake / Amazon Redshift | Serves curated, analysis-ready data to BI tools and dashboards. |
Analytics & AI | Python (SageMaker/Databricks ML), Power BI / Tableau | Develop and deploy ML models and create intuitive dashboards for operators. |
Orchestration | Apache Airflow | Manages and schedules complex data pipelines for reliability. |
Directly improve availability, performance, and quality.
Proactively address maintenance needs to keep your production lines running.
Optimize energy consumption and reduce material waste.
Identify and correct process deviations that lead to defects in real-time.
Monitor equipment health to prevent catastrophic failures.
We are a unique team of experts who speak both OT (industrial automation, control systems) and IT (cloud, big data, AI). We understand the practical realities of the factory floor and build solutions that deliver tangible ROI.
Schedule a live demo of our Edge Intelligence Gateway and Cloud Data Mapper.