Kaizon is an AI agent that monitors your production, identifies bottlenecks, and drives improvement initiatives autonomously. No dashboards to check. No consultants to hire. Just measurable gains, every week.
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Drop in a CSV or enter records by hand — cycle times, defect rates, downtime, throughput. Whatever your MES, ERP, or shift log already captures, Kaizon reads it. No new instrumentation required.
The AI scans your data across shifts, stations, and machines to surface where time, material, and throughput are bleeding. You get your top 3 improvement opportunities, each with an estimated impact and a concrete next action.
Every analysis is stored in your history with its bottlenecks, status, and impact estimate. Re-run after the fix lands — see the delta. Continuous improvement that compounds, instead of dying on a whiteboard.
Low monthly subscription, tiered by line/shift count, with a free trial tier that runs the full analyzer against your real production data so the ROI conversation is grounded in your numbers — not a slide deck. Cheaper than a single 6-week consultant engagement, and the implementation cost is zero: no sensors to install, no MES integration work in the trial tier.
In Postgres (Neon) inside the customer's account boundary. The AI analysis receives only aggregated/shifted inputs — no raw ERP dump, no PII on operators. Cycle-time distributions, scrap-rate histograms, and OEE rollups by shift are not retained for model training, and you can delete any analysis at any time from the /history page.
Your first analysis runs from a CSV export you already have — MES shift log, downtime log, scrap log. Usually about a 1-hour upload plus a 5-minute row-mapping session. Not a multi-week integration project: no PLC tapping, no new sensors, no on-prem install. The slice a small/mid-size manufacturer needs — cycle time, defect rate, downtime, changeover — is already in the data your line is generating.
Your first improvement opportunity shows up within the first analysis (minutes, not months). The typical first measurable gain — shorter changeover, scrap-rate drop, unplanned downtime cut — lands within a single shift cycle of acting on the recommendation. Because Kaizon is continuous monitoring rather than a one-off project, the second and third wins compound weekly instead of waiting for the next month-six review.
A consultant runs a 6-week Kaizen event, hands over a report, and leaves. Kaizon monitors every shift, 24/7, and catches regressions the day they appear. The AI never forgets, never takes vacation, never context-switches to the next client's event. Continuous improvement as an installed capability, not a project deliverable that dies on a whiteboard.
Built for the factories that know they need continuous improvement but don't have the headcount to sustain it. The AI operations manager that never clocks out.