ANALYZE

AI-powered insights for process engineers and corporate ops

Agents turn your modeled production data into continuous visibility, automated root cause analysis, and prescriptive recommendations — empowering process engineers and corporate operations teams to optimize production continuously and drive improvement at scale.

Factories are complex systems, and traditional solutions are too overwhelmed by plant data to say why problems happen, or how they should be fixed. The complete AI stack is built for this environment. It answers why and how continuously.

Sight Machine ANALYZE solves this by applying agents to your AI-ready foundation. It provides role-specific insights, automated analysis, and prescriptive guidance that helps engineers and corporate teams scale best practices, benchmark plants, and accelerate continuous improvement.

Core Capabilities

Enterprise Visibility for Corporate Ops

Compare performance across plants and lines with role-based dashboards, KPI explorers, and automated reporting.

Configurable KPIs and Benchmarks

Flexible semantic models allow KPIs to be sliced by shift, line, or plant without rebuilding, enabling true benchmarking across the enterprise.

AI for Process Engineers

Agents automate statistical methods like SPC, variance analysis, time-series correlation, and lever insights — freeing engineers from manual data work so they can focus on solutions.

Prescriptive Recommendations

Cookbooks and the Operator CoPilot provide real-time guidance on how to adjust settings, recipes, or workflows for optimal performance.

Generative CoPilot for Corporate Ops

Summarizes plant performance, explains variances, and produces instant reports for executives.

How it works

ANALYZE delivers continuous insight for scalable production optimization.

1.
See What’s Happening

Corporate ops teams and engineers gain enterprise-wide visibility with dashboards, alerts, and KPI explorers.

2.
Understand Why

Agents automate root cause analysis, explaining downtime, quality loss, or performance gaps.

3.
Know How to Improve

Prescriptive recommendations and cookbooks guide adjustments, and insights are benchmarked across plants for continuous improvement.

Integrations & Ecosystem

ANALYZE works with IT and OT platforms manufacturers already trust.

Through close collaboration and partnerships, Sight Machine is deeply integrated with ecosystems from Microsoft, Siemens, Databricks, and NVIDIA, making real-time industrial data available wherever it’s needed.

Open Analytics Ecosystem

Integrates with Azure, Fabric, M365, Databricks, and custom apps.

Enterprise Deployment

Mobile dashboards, alerts, and generative CoPilot bring insights to process engineers and executives wherever they are.

From process data

to corporate intelligence

ANALYZE empowers process engineers and corporate operations teams with AI-powered insights, automated root cause analysis, and enterprise benchmarking — turning plant data into continuous improvement at scale.

ANALYZE IN CONTEXT

ANALYZE is the third layer in Sight Machine’s Industrial AI stack.

With CONNECT and BUILD creating an AI-ready foundation, ANALYZE empowers process engineers and corporate operations teams with continuous insights, root cause analysis, and benchmarking across plants.

The next stage, OPERATE, brings this intelligence onto the shop floor — where agents guide operators and frontline teams in real time to run more productively.