For manufacturing plants

More output from the same plant.

We turn noisy shop-floor records into focused decisions, so the line stops less, runs closer to its best, and makes more money. Less time chasing scattered numbers. Clearer calls on what to fix.

Less Downtime
Golden Batch Consistency
Noise-Free Data
Focused Action

Turning a steel bar.

A car assembly line in a large automotive plant — Less Downtime
Shift from reactive fire-fighting to predictable, planned operations.

A refinery lit up at dusk — Golden Batch Consistency
Identify and replicate the exact conditions of your highest-yield runs.

A petrochemical complex at night — Noise-Free Data
Clear, automated insights that replace endless manual spreadsheet hunting.

A welding robot throwing sparks on a factory floor — Focused Action
A ranked list of exactly what to fix first, measured in recovered hours and units.

The week

Five days.

Example plant. Made-up numbers, real method.

Downtime log · sample

DateSh.OpReasonMin

03 MarAOp 30tool change40

05 MarBOp 50waiting material65

14 MarAOp 30setup80

27 MarCOp 30setup120

+ 210 more rows

28 hrs/mo

Lost on Op 30.

Every stop, by machine
214 stops in one month. 28 hours of them on one machine, Op 30.
Downtime log · sample
DateSh.OpReasonMin
03 MarAOp 30tool change40
05 MarBOp 50waiting material65
14 MarAOp 30setup80
27 MarCOp 30setup120
+ 210 more rows
28 hrs/mo
Lost on Op 30.
Three records, three totals
Same month, three different unit counts. And 69 hours no one wrote down.
Reconciliation · one month
Units · shift sheets12,840
Units · despatch book12,310
Units · ERP postings12,955
Op 30 hours · planned 528, running 431, stops 28
runningrecorded stopsunexplained
69 hrs
Hours no one wrote down. Often the biggest number.
The machine that limits output
Everyone blamed Op 50 because it had the queue. Op 30 was at 94% load.
Load by operation · % of available hours
46%
Op 10
Saw
58%
Op 20
Turn
94%
Op 30
Mill
71%
Op 40
Drill
62%
Op 50
Grind
37%
Op 60
Wash
Op 30, in orange, limits output.
One shift, one view
Losses, rejects, queue and setups, against your own targets.
This shift, at a glance
6.5 hrs
Lost on Op 30 this week (flagged)
2.8%
Rejects this week
41 hrs
Queued in front of Op 30 (flagged)
9
Setups on Op 30 (own target: 6) (flagged)
38%
Of lost hours were tool changes (flagged)
87%
Despatched on the day

One file. Opens in any browser. Yours to keep.

Monday
You send records.
One month, photos or exports. Nothing is kept or retained.
Tuesday
We match them.
Every gap in units and hours, listed.
Wed to Thu
We find the limit.
Each machine loaded with your real product mix.
Friday
You get the answer.
What to fix first, and what it's worth.

What we build

Not fire-and-forget AI.

Industry experts and an engineering team that ship production-grade systems for commercial use, then stay to make them better.

Custom hardware
Sensors, cameras and edge devices where your records fall short.
AI insights
Patterns in your data, turned into decisions you can act on.
Fast AI results
First answers in days, not quarters.
Automated reporting
Reports that build themselves, every shift.
Cloud infrastructure
Secure systems that scale, set up in your own cloud account.
Mobile apps
Shop-floor apps your team will actually use.
Custom software
Tools built around how your plant already works.
Ongoing support
We stay after launch and keep making it better.

Who we are

You talk to the engineer who does the work.

Sagar Parmar — Sagar Parmar
Founder

Previously at

Amazon
IBM
Samsung R&D

Computer vision expert.
Cloud deployment engineer.
Grew up in industry: his father spent his working life in Indian manufacturing.

Our promise

Results, or your money back.

If any project we deliver doesn't produce results worth what you paid, we refund you in full.

Write to

hello@codewaves.co