Seeq advanced analytics platform powered by Streamline’s industrial expertise. From architecture design and deployment through training and ongoing optimization—we deliver analytics solutions that drive measurable operational improvements.
Streamline Control Solutions combines deep industrial operations expertise with Seeq platform mastery to deliver analytics implementations that create lasting business value. We guide you from initial evaluation through full-scale deployment and continuous optimization, ensuring your team extracts maximum insight from operational data while building the capabilities for long-term self-sufficiency.
Comprehensive expertise from strategy through sustained optimization
Data infrastructure assessment, use case prioritization, integration architecture, security design, and system sizing. We ensure Seeq is architected for optimal performance, security, and business value from day one.
Platform deployment, data source integration, use case implementation, custom analytics development, and machine learning model deployment. Turn Seeq from installed software into operational intelligence.
Role-based training programs, change management, helpdesk support, managed services, and continuous optimization. Build internal capabilities while ensuring sustained value creation and platform reliability.
Seeq is an advanced analytics software platform purpose-built for process manufacturing and industrial operations. Unlike generic BI tools, Seeq is specifically designed to handle the unique challenges of time-series industrial data—enabling engineers and operators to rapidly investigate, collaborate, and share insights without programming skills.
Intuitive browser-based interface enables process engineers to perform sophisticated analyses without coding. Drag-and-drop tools for signal processing, statistical analysis, and pattern recognition. Minutes to insights that previously took days in Excel or required data science support.
Native understanding of time-series concepts, irregular sampling, units of measure, and process data nuances. Direct connectivity to historians, databases, and industrial systems. Handles billions of data points with responsive performance. Built for operational technology environments.
Self-service capabilities democratize advanced analytics across engineering teams. Ad-hoc investigation without pre-built dashboards. Collaborative workbenches preserve institutional knowledge. Machine learning integration via Seeq Data Lab. Enterprise-grade security and compliance features. Proven ROI across oil & gas, manufacturing, and utilities sectors.
Real operational challenges affecting efficiency, quality, and profitability
Time-series data scattered across multiple historians, databases, and systems makes holistic analysis impossible. Seeq provides unified data access through purpose-built connectors—creating single pane of glass without moving or copying data.
Investigating process upsets or quality issues manually takes days or weeks of Excel work. Seeq enables rapid correlation analysis, pattern recognition, and signal comparison—identifying root causes in minutes or hours instead of days.
Engineers perform valuable analyses that remain trapped in personal files or memory, requiring repeated effort. Seeq workbenches enable sharing complete analyses with full provenance—preserving institutional knowledge in reusable format.
Thousands of hours of operational data contain optimization insights that remain undiscovered. Seeq empowers engineers to explore data systematically—uncovering opportunities for yield improvement, energy reduction, and throughput gains.
Advanced analytics traditionally require Python/R skills most process engineers don’t have. Seeq’s point-and-click interface enables 80% of analyses without coding, while Data Lab supports advanced users when needed.
Compliance reports require manual data extraction and calculation, consuming valuable engineering time. Seeq automates regulatory calculations with validation rules, automatic scheduling, and complete audit documentation.
Proper design ensures Seeq performs optimally while meeting security requirements and delivering business value. We assess your data infrastructure, prioritize use cases, and architect solutions that scale with your organization.
Data infrastructure assessment and connectivity architecture. Use case identification and ROI prioritization. Integration with historians, MES, LIMS, and business systems. Security and compliance framework (21 CFR Part 11, audit trails). System sizing and high-availability architecture. Asset hierarchies and organizational models.
Complete architecture documentation including data sources, connectivity, servers, users, and security. Prioritized use case catalog with business justification and ROI estimates. Implementation roadmap with phased deployment plan. Hardware and software specifications. Role and permission matrix. Integration specifications for all data sources.
Poor initial architecture leads to performance issues, data access gaps, and security vulnerabilities that are expensive to remediate later. Our proven design methodologies ensure Seeq is architected for optimal performance from day one while building in scalability for future growth. We bridge IT and OT requirements effectively.
We transform Seeq from installed software into operational intelligence delivering measurable business value. Complete platform deployment, data integration, use case implementation, and analytics development.
Seeq server installation and configuration (on-premises or cloud). Data source connector deployment and optimization. High-availability and disaster recovery configuration. Security controls and user authentication integration. Asset hierarchy implementation. Performance testing and validation. System monitoring and alerting setup.
Production-ready analytical workflows for prioritized use cases. Reusable templates and Add-on tools for standardization. Machine learning models in Seeq Data Lab (predictive maintenance, quality prediction, optimization). Automated monitoring, alerting, and scheduled reports. Custom visualizations and dashboards for specific workflows.
Phased deployment delivers quick wins while building toward comprehensive capabilities. Pilot use cases demonstrate value and build momentum. Iterative development with user feedback ensures solutions meet real operational needs. Knowledge transfer throughout ensures your team can extend and maintain implementations independently.
Technology creates value when people use it effectively. Our training programs build confidence and competence across all roles—from operators to data scientists—using real-world examples with your actual data.
Process Engineers: Fundamentals, signal analysis, statistics, root cause investigation (2-3 days). Reliability Engineers: Condition monitoring, anomaly detection, predictive maintenance (2 days). Data Scientists: Seeq Data Lab, Python SDK, ML deployment, Add-on development (3-4 days). Operations Managers: Dashboard navigation, KPIs, collaboration (1 day). System Administrators: Architecture, user management, troubleshooting, performance tuning (2-3 days).
Identify and empower internal champions. Create adoption metrics dashboards. Ongoing coaching and mentoring. User feedback collection and continuous improvement. Success story documentation and sharing. Building data-driven culture where Seeq becomes natural tool for investigation.
Comprehensive training materials including presentations, hands-on exercises, and video tutorials. Quick reference guides for common workflows. Post-training assessments and certifications. Train-the-trainer programs for internal capability building. Ongoing support documentation. Our training focuses on building self-sufficiency while maintaining support availability.
Advanced analytics is a journey, not a destination. Our managed services ensure system reliability, helpdesk provides rapid user support, and continuous optimization multiplies ROI as more use cases and users benefit.
24/7 system health monitoring with proactive alerting. Remote troubleshooting and resolution. Performance optimization and tuning. Software updates with testing and validation. Helpdesk support for user questions and analytical workflows. Critical issues: 1-hour response, 4-hour resolution target. Knowledge base maintenance.
Quarterly business reviews assessing adoption, ROI, and opportunities. New use case development and expansion to additional assets or sites. Workflow optimization based on user feedback. Advanced analytics building on foundational work. Strategic planning for analytics roadmap and capability development.
Seeq should be as reliable as your process control systems. Our managed services ensure uptime and performance while your team focuses on analytics rather than system administration. Initial implementations typically address small subset of potential value—ongoing expansion and optimization multiply ROI over time.
Proven success delivering analytics value across critical infrastructure sectors
Production optimization, catalyst performance, compressor efficiency, pipeline monitoring, refinery operations, compliance reporting. Proven use cases for upstream, midstream, downstream, and gas processing operations.
OEE tracking, quality management, batch optimization, predictive maintenance, energy efficiency, asset utilization. Solutions for discrete, process, and hybrid manufacturing across food & beverage, chemicals, pharma, and consumer goods.
Asset health monitoring, renewable energy integration, grid performance, load forecasting, environmental compliance. Scalable analytics for generation, transmission, distribution, and water/wastewater operations.
Process optimization, quality consistency, energy management, equipment reliability, fiber line efficiency. Advanced analytics for complex continuous processes with multiple interdependent control loops and quality parameters.
Let’s discuss how Seeq and Streamline can unlock the operational intelligence hidden in your time-series data