InfoMesh Agent deployment for Demo • Powered by MathLogic

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The InfoMesh Agent for MathLogic gives users instant answers using natural language, securely and in real time.

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InfoMesh Agent
Conversational Ops • Real-time
Show me WO requirement attainment report for June 2025
Total Work Orders: 30887, On-Time: 17347, Schedule Adherence: 56.16%
Only for planned maintenance orders
Planned Maintenance WO: 1648, On-Time: 1158, Adherence: 70.27%

Why InfoMesh unlocks real-time operational intelligence?

Empower frontline teams with natural-language answers — no dashboards, no delays. Secure, governable, and built for industrial reality.

Natural Language Insights

Ask in plain English. Get precise, contextual answers instantly.

Connects Fragmented Systems

Customer Data with internal operational data with unstrcutured documents

It brings context and causality, not just KPIs

Use the power of GenAI to reason and drill down the KPI's. Add local knowledge / keep and resolve querries that could not be answered.

Agents can act as well

Agents can take action to raise alert or create tasks

How it works

Step 1
Connect data

Connect to databases(SQL/ no sql). Connect to document repositories.

Step 2
Chat naturally

Ask: “OEE of Line 3?” “Why did Machine-5 stop?” Smart suggestions guide users.

Step 3
Answer & act

Get instant answers, drill-downs, or trigger work orders directly from chat.

Tailored use cases for Manufacturing

Scenario Operator Query Response / Benefit
Production Throughput “What’s the hourly output of Plant B?” Real-time output + trends + projected shortfalls.
Downtime Diagnosis “Why did Conveyor-2 stop?” Trip analysis, probable causes, recommended checks.
Maintenance Scheduling “Which machines need servicing this week?” Ranked list with parts availability & calendar fit.
Safety / Alerts “Any safety incidents today?” Live incident feed, KPIs & threshold notifications.

Technical & deployment

Architecture overview
Root Agent initiates the dialog is supported by three levels of intelligence. a) Standard Query (MCP server) b) Custom Query Agents (Auto discovered + guided discovery) c) Super Agent (solved from scratch)
Integrations
Connect to strucured databases as well as document management system with light touch integration managed by context.
Security & governance
Querries are run locally but schema and results shared with LLM. User controls can be plugged in at tool level (e.g. run sql query is a tool).
Localization
Multiple ways to localize/ add local knowledge to bridge the gap between database and user familiarity. Industrial knowledge agent. Backlog and fine tuning agent. Guide discovery for SME's to add agents without coding.

Try the live InfoMesh Agent

Open the InfoMesh Chat Agent to ask about throughput, downtime, or safety. Suggested prompts help you get started quickly.

Open Agent
  • “What was Plant B’s output this hour?”
  • “Any unplanned downtime in the last 60 minutes?”
  • “Which machines are due for service this week?”
Sample Queries
Work Order Volumes and Slicing
Give me WorkOrder count by required month
Break up of WorkOrders by status for June 2025
Show details where status is "Work Paused"
Standard Report Slicing
Show me WO requirement attainment report
Only for planned maintenance orders
Only for Anthracite Mine + PM orders

Start a pilot

Tell us about your site and top use cases. We'll help you launch a secure pilot powered by InfoMesh.

  • On-prem or hybrid deployment
  • Role-based access & audit trails
  • Fast value with targeted use cases

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