Manufacturing intelligence, built on the floor

The floor has always had the answers.

Gemba Labs makes them visible.

Sensors on your machines. A real-time kiosk on the floor. An AI brief that tells you what happened this shift, and why. Built on the factory floor of a working food plant and proven in live production.

Installed in hours, not months  ·  English and Spanish throughout  ·  No SCADA integration required
Running now · Live production, West Michigan
0 data points collected
0 shift events interpreted
0 patterns detected
tracking every shift since March 2026
What Gemba Labs is

A complete intelligence layer for the floor.

Sensors on the equipment. A real-time kiosk on the floor. An AI layer that turns every shift into analysis your team can act on: downtime, SKU performance, shift results. No SCADA integration, no six-month rollout, and every surface works in English and Spanish. Below is one line over one week, the way Gemba Labs reads it.

Line 3 · Week at a glance
15-minute resolution · Mon – Fri production window
6 AM81012 PM24 PM
MonApr 13
0.0 avg cpm
525 run · 75 stop
TueApr 14
0.0 avg cpm
540 run · 60 stop
WedApr 15
0.0 avg cpm
495 run · 105 stop
ThuApr 16
Shut down · no production scheduled
no data
FriApr 17
0.0 avg cpm
525 run · 75 stop
Running≥ goalslow
Stopsmaterialsmechanicalchangeoverbreakuntagged

At a glance: Monday ran clean. Tuesday recovered from a rough start. Wednesday stalled out mid-day, with stops clustering through lunch. Thursday was down, Friday recovered. Five days, one chart, no pivot tables.

What the weekly brief flagged
Confidence: High

"Wednesday's mid-day stall is the third Wednesday in six weeks with the same shape: amber pacing from 11:00 to 14:00, with mechanical and changeover stops clustering through lunch. Inside that 3-hour window, the line ran below goal pace for 135 of 180 minutes, missing ~1,700 cycles against plan. Worth investigating as a recurring signal, not an isolated bad day."

A sensor listening to a production machine as it broadcasts data
How it's built
01
Telemetry
Purpose-built sensors on your equipment. Installed in hours, not months.
02
Operations
Live rates, pacing, downtime tagging, rework, and notes from the floor.
03
Intelligence
AI analysis of downtime, SKUs, and shift performance, in your plant's own vocabulary.
04
Patterns
Recurring signals compound into institutional memory over time.
"This is where things are heading."
Owner · West Michigan food manufacturer · First live demo
Why this, and why now

The work happens on the floor.

Gemba (現場) is the Japanese word for "the real place," where the work actually happens. For 80 years, it's been the principle behind the best manufacturing improvements: go see, don't assume. Modern monitoring tools forgot that. They show dashboards full of numbers without context, disconnected from the people who understand what the numbers mean. Gemba Labs is built on a different premise.

A worker on the floor sending data from a tablet
Principle 01
The floor is the source of truth.

The operator who has watched the bagger jam for three years knows why it jams. A good intelligence system captures what they know, not just what the sensor sees. Operators write notes directly into the system, attached to specific moments on the rate chart. Those notes become the ground truth the AI uses to interpret the shift. Sensor data on its own produces analysis that sounds right. Sensor data plus what your operators saw produces analysis that is right.

Principle 02
Ethics is a product constraint.

The AI brief never blames an individual operator. It looks past individual correlation to systemic cause. When it cannot find the cause, it says so honestly. "I don't know. Go look." is a feature, not a limitation. A tool that fakes confidence loses your trust the first time it's wrong. One that tells you when it doesn't know earns it. That honesty is built in, not bolted on at the end.

Principle 03
The system compounds.

Most monitoring software is the same on day one as it is on day one thousand. Gemba Labs learns. Proto-patterns identified in week one become confirmed patterns by month three. The weekly brief at week twelve is sharper than the weekly brief at week one, not because the model improved, but because the institutional memory did. Every shift makes the next shift's analysis better.

Principle 04
The pattern is the product.

The food manufacturing deployment is the proof of concept. The pattern (sensors plus human observation plus AI interpretation) fits any industry where production happens in cycles, where human context matters, and where the gap between what the floor knows and what management sees is currently wide.

Validated in production

Running now, on a live floor.

Gemba Labs runs in live production at a mid-sized food manufacturer. Two production lines, three machines, monitored continuously through every shift. Operators tag downtime and rework as it happens, and plant leadership gets AI intelligence reports covering downtime, SKU performance, and shift results. The longer it runs, the sharper it gets about this specific plant.

0
Readings per machine,
per day
Daily
AI intelligence
reports
Weekly
Intelligence brief
per line
EN / ES
Every surface,
both languages
Who it's for.

Small and mid-sized food manufacturers. Plants that know they need better visibility but aren't going to buy a half-million-dollar MES, aren't going to wait nine months for an implementation, and aren't going to tolerate another SaaS tool that generates more charts than answers. If your operators know more about your machines than your software does, Gemba Labs is built for you.

A plant manager reading the morning brief beside the production line
See it live

Watch it run on a real production line.

A 30-minute live demo, straight from the floor: real machines, real shifts, real reports. Leave your email and we'll reach out to schedule it.

Prefer email? hello@gembalabs.io ·  Already have an account? Sign in
We onboard one facility per month · Pilot slots are limited
Also from Gemba Labs
The Facility Intelligence Report

Your floor already knows where the problems are. The FIR interviews every role in your plant, owner to operator, and synthesizes what they say into a written report: where accounts disagree, what lives in one person's head, and what nobody is writing down. No sensors, no install. A natural first step.

Explore the FIR →