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Tridiagonal.ai and Cognite | Industrial AI at Scale

What Tridiagonal.AI and Cognite Bring Together

In today’s data-rich industrial environments, organizations often struggle to extract actionable insights from siloed systems and scattered data. Cognite’s Industry DataOps platform addresses this challenge by providing a scalable, contextualized data and AI infrastructure-integrating real-time sensor data, historical records, documents, SAP systems, and operational metadata into a unified, accessible view.

Building on this, Tridiagonal.ai brings advanced smart apps and Agentic AI capabilities with deep domain consulting expertise, enabling organizations to move beyond basic analytics and towards context-aware, intelligent decision-making across operations, maintenance, and quality functions. Together, we help process-intensive industries shift from reactive problem-solving to proactive, autonomous optimization.

Key Value Pillars

DataOps and AI Backbone

Cognite’s platform acts as a foundational layer, contextualizing disparate data sources to create a unified operational digital thread—ensuring that data is accessible, meaningful, and ready for AI-driven action.

Agentic Intelligence

Cognite’s Atlas AI workbench and Tridiagonal multi-agent (agentic) frameworks that mimic the reasoning of domain experts, allowing systems to not only detect anomalies but understand cause-effect relationships and recommend corrective actions in real time.

Domain Expertise

Our solutions are powered by decades of process engineering knowledge—baked directly into workflows and algorithms—ensuring that every recommendation is grounded in real-world process logic.

Faster ROI

Our use-case-first approach allows clients to prioritize high-impact initiatives—whether it's optimizing energy consumption, reducing downtime, or improving product quality—across industries such as cement, oil & gas, chemicals, and pharma.

End-to-End Execution

From data acquisition and model development to deployment and continuous improvement, we support the entire lifecycle of industrial intelligence initiatives—ensuring results are not just achievable, but repeatable and scalable.

Outcomes That Matter

Accelerated Root Cause Analysis

Achieve 20–30% faster resolution of operational issues by providing AI-assisted diagnostics across production lines.

Energy & Resource Optimization

Reduce specific energy consumption by over 10% through real-time monitoring, predictive insights, and intelligent control suggestions.

Downtime Prevention

Minimize unplanned shutdowns using predictive agents trained on historical failure patterns, maintenance records, and process anomalies.

Operational Traceability

Ensure full visibility—from sensor-level data to SOP adherence—across departments, improving compliance, audit readiness, and accountability.

Explainable, Cross-Functional Decisions

Empower teams with clear, contextual, and actionable insights that drive decisions in operations, maintenance, quality, and plant management.

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