The Platform
Four Modules. One Operational Intelligence Platform.
Each module works independently and delivers immediate value. Together they create end-to-end intelligence across equipment, knowledge, workforce, and analytics.
Equipment Intelligence
Reliability ManagersPredict failures. Prevent downtime.
The Problem
Unplanned equipment failures cost semiconductor fabs up to $1M per hour. Most fabs detect failures after they happen, not before.
Outcome
Fabs using predictive maintenance programs reduce unplanned downtime by 20–40%. Vestran makes this capability accessible without a data science team.
What it does
- →Ingest sensor data via REST API: vibration, temperature, pressure, power draw, and flow rates
- →AI health scoring for every tool, updated continuously on a 0–100 scale
- →Automated alert generation when health crosses P1, P2, or P3 thresholds
- →AI-generated repair recommendations pulled from your facility's own knowledge base
- →MTBF tracking and 30-day health trend visualization per tool
AI Knowledge Engine
TechniciansSearch your facility's institutional knowledge.
The Problem
SOPs, repair logs, and engineering notes exist in paper binders, shared drives, and retiring engineers' heads. Technicians spend hours searching, or give up and call the OEM.
Outcome
When a technician asks "what causes CVD thermal alarms?", Vestran returns the answer from your facility's actual repair logs, not generic internet information.
What it does
- →Upload PDF, DOCX, TXT, and Markdown documents: SOPs, repair logs, manuals, and notes
- →AI automatically extracts, chunks, and embeds documents for semantic search
- →Natural language queries answered from your facility's documents only, with no hallucination from general knowledge
- →Every answer cites source documents with page-level attribution
- →Expert knowledge capture sessions: structured interviews to document retiring engineers' tacit knowledge
Workforce Readiness
Workforce LeadsAccelerate technician competency.
The Problem
The U.S. semiconductor industry needs 67,000 new workers by 2030. New technicians take 6–18 months to reach full operational competency. No standardized way to measure readiness exists.
Outcome
Identifies exactly where each technician needs development, and surfaces the facility's own knowledge base content to close those gaps faster.
What it does
- →10-area competency self-assessment framework calibrated for semiconductor manufacturing roles
- →AI gap analysis generates individual development roadmaps based on assessment results
- →Competency matrices across your organization: see gaps at team and facility level
- →Expert knowledge capture for retiring engineers: structured Q&A sessions preserved in the knowledge base
- →Target-role readiness scoring on a 0–100 scale with timeline estimates
Manufacturing Resilience Analytics
Plant DirectorsUnderstand your facility's operational performance.
The Problem
OEE, downtime cost, and equipment utilization data lives in disconnected systems. Leadership makes decisions without a unified operational view.
Outcome
A single source of truth for facility operational performance, without replacing existing MES or CMMS systems.
What it does
- →OEE (Overall Equipment Effectiveness) snapshot logging: availability, performance, quality
- →Downtime event logging with root cause and cost modeling
- →Rolling 30-day and 90-day trend visualization
- →Month-over-month downtime cost comparison
- →Per-equipment MTBF and availability tracking