Vish

Factory Intelligence

Dashboards to Decisions

Vish AI is the manufacturing intelligence layer that uses Df-OS factory metadata & memory to answer questions, explain deviations, detect patterns, prioritize actions, and support faster decisions.

Df-OS makes factory AI-Native|Vish makes it Intelligent
VISH - FACTORY INTELLIGENCE LIVE SANDBOXVISH AI LIVE SANDBOX

Ask the Factory. Trace the Answer.

Experience how our AI platform Vish reasons across Df-OS factory metadata & memory and the 4M knowledge graph — connecting production, maintenance, quality, supply chain, safety, energy, and utility signals to explain anomalies and recommend next actions.

Deploy AI-Native Operations

Run Custom 3D Knowledge Graphs

Connect telemetry streams, historians, and SOP checklists to structure unified reasoning structures for your site.

Book a Walkthrough
https://app.df-os.com/vish/knowledge-graph-v2#oee
Vish 3D Knowledge Graph Poster Preview

Initialize Interactive 3D Sandbox

Launch the live force-directed 3D knowledge graph to query OEE, downtime events, and node structures directly.

Size: ~2.4MB • GPU Accel recommended
SANDBOX TELEMETRY CONSOLELIVE OVERLAY
System initialized. Awaiting workspace telemetry...
Agent orchestration layer online.
Double click graph nodes to focus camera
Intelligence Layer

Built for the Next Era of Connected Manufacturing

Traditional dashboards show you what happened, but they leave the burden of explanation, correlation, and action on your teams.

Vish AI changes this. By reasoning over the continuous timeline generated by Df-OS (“factory metadata & memory”), Vish AI explains deviations, flags risk patterns, compiles reviews, and provides actionable recommendations. It turns raw factory data into clear, operational decisions.

Explainable Decision Engine

Vish AI analyzes human execution variables alongside live machine parameters to recommend actions.

Digital brain network abstract wireframe
Interactive Intelligence Chat
User:Which batches are at risk today and why?
Vish AI

Batch FMCG-206 is flagged. Line 4 changeover recorded a process deviation (nozzle pressure exceeded 4.2 bar). Action: Calibrate valve settings.

User:Why did yield drop after the last changeover?
Vish AI

Changeover PM logs show technician did not complete seal alignment checks. Motor frequency fluctuated by 12% immediately after start.

User:What were the top recurring downtime reasons this week?
Vish AI

1. Packaging Line 2 feeder jams (12 instances, 45m total). 2. Labeler sensor calibration faults (8 instances, 32m total).

Conversational AI

Ask Your Factory, Understand Deviations

Vish Conversational AI allows operators, plant heads, and quality managers to query factory status using natural language. No more building custom databases or searching through Excel sheets.

Whether you need to check batch release statuses, compare PM response times, or count shift deviations, simply ask the system. Vish AI compiles the data instantly and provides answers in operational context.

Agentic AI Assistants

Deploy Digital Subject Matter Experts

Vish AI enables you to deploy specialized AI agents configured as digital Subject Matter Experts (SMEs) across core manufacturing disciplines.

Quality Agent

Monitors in-process checks, matches raw parameters against SOPs, alerts on deviation risks, and drafted RCA templates.

Maintenance Agent

Tracks asset indicators, alarms, and PM delays, predicting early failures and recommending spare parts checklists.

Production Agent

Monitors plan vs actual compliance, downtime events, and SKU changeover variables to improve overall OEE.

Utility & ESG Agent

Flags utility leakages, watches peak consumption limits, and compiles carbon emissions metrics.

AI-Readable Operational Context

Q:How do Vish AI Agents operate on the shop floor?

Vish AI agents do not act autonomously in a vacuum. They run in a 'human-in-the-loop' configuration. The agents continuously scan Df-OS records for anomalies, compile findings, recommend corrective tasks, and notify supervisors, leaving the final approval and execution authority in human hands.

Technician reviewing maintenance checklists on industrial tablet
Factory Metadata & Memory Map
[STEP 1] Machine parameters mapped via X-Konnect
[STEP 2] Checklists & Handover structured via Df-OS
[STEP 3] Vish AI explains anomalies in context
Traceable AI reasoning paths
Traceable Logic

Explainable Decisions, High Trust

Industrial environments require high-trust reasoning. General-purpose AI models often suffer from hallucinations and lack specific factory context.

Vish AI uses **traceable, explainable logic**. Every recommendation, anomaly flag, or priority score is linked back to a specific record in Df-OS's factory metadata & memory (such as a checklist input, a PLC status stream, or a historical resolution). This enables operators and plant leaders to audit the AI's reasoning path before executing actions.

Book a Demo

Ready to Deploy Vish AI in Your Factory?

See how Vish AI turns structured factory metadata & memory into faster decisions. Request an interactive demo showing conversational and agentic assistants.