Mirai Ops

A New Paradigm, Not Just Another Upgrade.

Every technology generation improves on what came before. But occasionally a technology does not just improve — it expands the category of problems that can be solved. Agentic AI is that moment for industrial operations.

Three Generations of Software. One Fundamental Difference.

1980s–2000s

Traditional Software

Data it handlesStructured only
How it processesPredefined rules
What it producesCalculated outputs
Manufacturing fitPlanning & inventory

Requires every input to be human-structured first. Cannot read drawings, interpret documents, or execute workflows from unstructured data.

2010s

Machine Learning

Data it handlesStructured + patterns
How it processesStatistical patterns
What it producesPredictions + classifications
Manufacturing fitPredictive maintenance

Finds patterns in historical data to predict failures and anomalies. Still dependent on structured inputs — cannot reason across documents or execute multi-step workflows.

2020s

Agentic AI

Data it handlesStructured + Unstructured
How it processesReasoning + Judgment
What it producesEnd-to-end workflow execution
Manufacturing fitEngineering + operations workflows

Reasons across any input — drawings, documents, data feeds — and executes complete workflows autonomously, end-to-end.

AI Agents Solve Through Reasoning, Ideal For Complex Industrial Operations.

Industry research consistently indicates that 80–90% of enterprise data is unstructured — documents, drawings, reports, and forms that traditional software cannot access. In manufacturing, that unstructured layer contains the operation's most critical intelligence.

AI reads these the way a domain expert reads them — not by matching keywords, but by understanding context, interpreting technical language, applying standards knowledge, and extracting the structured intelligence embedded within.

Precision machined parts on engineering drawings

What AI Can Now Do in Industrial Operations

Read engineering drawings with expert-level GD&T interpretation — unlocking DrawAIM, RouteAIM, and InspectAIM workflows.

Generate process plans and quality documentation from drawing intelligence — compressing weeks of NPI documentation to hours.

Classify operational events against regulatory and quality standards — OSHA recordability, AS9100 characteristic classification, SQIE assessment.

Extract intelligence from commercial and supplier documents — RFQ requirements, supplier performance, corrective action adequacy.

Execute multi-step workflows end-to-end — from document input to verified system output, without manual steps between.

Scale consistently across any volume — the same accuracy at 1 drawing or 1,000, 1 incident or 100.

See AI Reasoning on Your Actual Drawings and Operational Documents.

Free proof of concept. Your data. Real outputs.