Container Glass Plant Intelligence

GlassIQ
The First AI Enabled System
Built for Container Glass Forming Floors

Built for the supervisor running multiple lines, the one new to the role, and the operator who needs answers without formal forming training. As experienced people retire, decades of forming knowledge walk out the door. GlassIQ keeps it on the floor.

Built by Andrew Kandik — 30+ years in glass forming, former Global and Lead Forming Specialist for O-I. Built exclusively for container glass forming.
Mobile-first PWA. Works on any phone, no install required.

What plant floors deal with today

01

Timing sheets read by eye, variance missed until defects spike. No AI. No pattern memory.

02

Defect identification from memory or a binder. No reference system on the floor.

03

Shift logs built from memory, hand notes transcribed by supervisors hours after the fact. Data is incomplete before it is even saved.

04

Supervisors reviewing data on desktop, operators on the floor with nothing. No mobile system built for glass.

Four modules. One forming floor platform.

GlassIQ covers every core workflow on the container glass forming floor — from defect lookup to AI shift reports — built by someone who spent 30 years living those workflows, including as Global and Lead Forming Specialist for O-I.

DefectIQ

Instant AI-assisted defect lookup for 44 container glass defect types. Causes, corrective actions, and process guidance on the floor — so any operator can diagnose like a veteran without waiting for one.

44 Defect Types
TimingIQ

Photograph your live timing screen or printed timing sheet — or upload from your photo library and analyze later. AI checks critical overlaps, sequence violations, and out-of-range deltas across NNPB and B&B. Reads, scans, and interprets Emhart FlexIS and O-I timing print systems.

AI Powered
Heye, Futronic, Bottero and more — coming soon
LogIQ

Full shift intelligence capture — not just a log. Supervisors and operators log defects by machine, section, and cavity and track downtime as it happens, with every entry editable to keep the data clean. TimingIQ scan results land here automatically — so your timing analysis, defects, and downtime all live in one shift record.

Shift Ready
ReportIQ
AI Shift Intelligence

The shift report that writes itself.

At shift end, ReportIQ reads everything LogIQ and TimingIQ captured and generates a structured AI summary — top defects by machine and section, likely causes grounded in forming knowledge, timing issues cross-referenced with scan results, downtime totals, and specific recommendations for the next crew.

Shift view — crew handoff report scoped to the outgoing shift
Day view — full 24-hour production summary for the manager
Branded HTML email — delivered from glass-iq.ai, review and edit before sending
Print and PDF ready — clean format for the shift binder or morning meeting

The AI reasons from curated forming knowledge, not generic internet data. It draws conclusions from what was actually logged — and stays silent when the data does not support a cause.

From timing screen to AI analysis

No typing. No software to install. Photograph your live timing screen or printed timing sheet and GlassIQ does the rest.

01
Photograph the Sheet

Open GlassIQ on any phone, tablet, or desktop. Photograph your live timing screen or printed timing sheet, or upload from your photo library to analyze later. Multi-page sheets supported.

02
AI Reads and Analyzes

The AI reads every event timing, checks critical overlaps, sequence violations, and out-of-range deltas across both NNPB and B&B — against a rule set that expands as the system learns from the floor.

03
Results in Seconds

Review items appear flagged Critical or Review with exact values. Corrective guidance included. Results saved automatically to plant history.

● Fast AI analysis

Walk through GlassIQ right here

Real screens from the live app. Step through the workflow a supervisor or operator sees on the floor.

GlassIQ app screen
Step 1 of 7

Container glass defects. Causes. Corrections.

A living reference library — add your own defects, causes, and fixes to make it yours.

See it on your floor →

Reasons like a forming professional.
Not like a chatbot.

Grounded in forming knowledge. Not the internet.

GlassIQ draws conclusions from curated, plant-specific forming knowledge built from decades of experience on the forming floor — not generic web data. It investigates the way an experienced forming specialist would: pattern recognition first, by cavity, then section, then machine, then time of day — before suggesting a cause. It draws conclusions from what was actually logged and stays silent when the data does not support one. The more your team logs, the sharper the analysis becomes.

Here Now. Defect lookup, timing scan analysis, full shift logging, AI shift summary and ReportIQ with branded email output. Forming knowledge grounded in curated plant data, not internet knowledge.
In Development. Forming knowledge learning layer — expert approved, human always in control, architecture built to grow without limit while staying fast. New shift briefing — incoming crew sees what was handed to them including machines still down. Historical and job-run reporting across any date range.
Roadmap. Cross-shift and crew performance comparison for manager decision support. Predictive insight — correlating process and equipment changes with defect trends over time. Equipment change log tied to LogIQ and DefectIQ so when a defect appears after a change, you know exactly what moved.
Longer Term. Forehearth and furnace data integrated into the timing picture. The system begins connecting upstream conditions to forming defects — not just seeing what is wrong, but why.

GlassIQ is in active development. Intelligence layers are in progress and growing every day.

This is not a roadmap of someday promises. The architecture and foundation already exist — we are building on top of something real, not pitching something imagined.

Want to see how it works on your floor?