Data Historians

Capture Every Second, Analyze Every Trend, Drive Industrial Excellence

Losing valuable process data due to inefficient collection or siloed systems?

We implement industry-leading data historians like OSI PI and Canary Labs to capture, store, and contextualize time-series data. Ensure no critical process information is lost and empower smarter decision-making by –

Continuous Data Logging

Centralized Process Visibility

High-Frequency Data Capture

Scalable for Future Growth

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Reliable, Scalable, Secure.

Why choose our Data Historian expertise?

Data historians are the digital backbone of industrial data, capturing real-time time-series data from PLCs, DCSs, SCADA, and sensors. We help you select and integrate the right platform to align with your business needs.

Specialized Industrial
Knowledge

We understand the operational complexities of heavy industries and design historian systems accordingly

Seamless Analytics
Readiness

Historians feed directly into Seeq, Power BI, and AI/ML tools for advanced insights.

Vendor-Agnostic
Guidance

We recommend the right fit (on-premise, cloud, or hybrid) based on your infrastructure

End-to-End
Consultation

From needs assessment to deployment and training—we’re with you every step of the way.

Leveraging Best-in-Class Historians

Powering Smarter Industry with the Right Historian

Select and integrate historians with the exact capabilities you need, ensure high-fidelity time-series data flows seamlessly from sensors to analytics

OSI PI’s Asset Framework

Enables Hierarchical data
organization for intuitive analysis.

Canary’s Edge Historian

Low-latency data capture
for remote/offline sites.

Unified Data Layer

Connect PLCs, SCADA, ERP,
and legacy systems.

Our approach

How We Deliver Value Beyond Setup

Modern data historian systems like OSI PI , Canary Labs offer powerful integration capabilities, rich visualization layers, and proven scalability across industries with their cost-effective, high-speed performance, and user-friendly interfaces. Exceptional compression and data integrity ensure long-term storage and efficient analytics.

Reduced Data Gaps

Robust setups ensure no loss during process peaks, enabling accurate analysis and audits.

Operational Autonomy

We train in-house teams for complete ownership—minimizing external dependency.

Long-Term Savings

Optimized data flow and reduced reporting inefficiencies cut costs and downtime across departments.

how it works?

Our Consulting Process

We provide the best services, ensuring your outstanding growth

Assess

Evaluation of your existing data infrastructure, data sources, and quality to identify gaps and opportunities for value creation.

Architect

We guide you in choosing and implementing the right data historian solutions tailored to your industry, scale, and performance needs.

Advanced anaytics

Using tools like Seeq, we unlock insights through root cause analysis, predictive modeling, and real-time data exploration.

Cost cutting Strategies

Our data-driven approach leads to measurable cost reductions by optimizing operations, minimizing downtime, and enhancing efficiency.

Frequently Asked Questions

We already use a SCADA system. Why do we need Seeq?

SCADA systems are critical for real-time control, monitoring, and alarming, but they are not built for advanced time-series analytics. Seeq doesn’t replace your SCADA; it enhances it by enabling you to:

Analyze large volumes of historical data across systems

Perform advanced pattern recognition and anomaly detection

Create dynamic dashboards and reports that go beyond basic trends

Enable non-programmers to build and reuse analytics models easily
In short, Seeq bridges the gap between monitoring and true operational intelligence, empowering engineers and analysts to turn raw SCADA data into actionable insights.

Our automation team builds predictive models. How is Seeq different or better?What is the process for beginning a project?

Your automation team likely builds predictive models using custom code or data science tools, which may be limited to a small group of technical experts. Seeq democratizes this capability by:

Allowing domain experts (process engineers, operators) to build models without writing code

Reducing development time from weeks to hours with pre-built functions for signal cleansing, anomaly detection, and forecasting

Integrating seamlessly with Python and machine learning models for hybrid workflows

Providing an audit trail and visual documentation of logic for easier model validation
Seeq complements your existing team and frees up valuable engineering time by enabling a broader group of users to explore and model data independently.

Our data historians like OSI PI or AVEVA already store all our data. What added value does Seeq bring?

Historians like OSI PI and AVEVA are excellent at storing and retrieving time-series data, but their core function is not analytics. Seeq adds significant value by:

Enabling fast, multi-source analytics without exporting data

Providing context-aware visualizations, time-windowing, and batch comparisons

Allowing users to link process data with metadata like maintenance logs, lab data, and MES systems

Enabling event detection, root cause analysis, and production optimization at scale
In essence, Seeq turns your data historian into a full-fledged industrial analytics platform without duplicating infrastructure.

Have more questions?

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Data Historians