for owners, COOs, and operating partners
We walk your factory and find every dollar it's leaving on the floor.
Two days on your floor. Two weeks later, a ranked list of what to fix, what each fix is worth, and the proof behind every number.
how it works
We find where your factory is losing money.Then we prove every finding.
We analyze the production data you already keep, take video of every line, and interview the people who run them. It comes back as a dashboard that shows you what each problem is costing you a year, and the evidence behind every number.
the problem
There's always more money on the factory floor. The hard part is getting it out.
It's hard to find money on your floor.
It's harder to prove that money is real.
It's hardest to actually go and fix it.
the walk
We come and look.
Two days on your floor. Every line filmed, every shift interviewed, your ERP pulled. Each mark is money we found.
- 1$60K/yr
Dryers and air never idle down
- 2$120K/yr
Scrap running near 5% by weight
- 3$86K/yr
Clean sprues in the dumpster
- 4$48K/yr
Parts pile up before finishing
~$873K/yr across 15 findings, plus ~$555K one-time · sample plant, a US custom injection molder, 26 presses
what we collect
Four things leave with us.
Nothing is installed and nothing is integrated. We take what is already there.
video
Every line and every operator, filmed across two days on the floor.
interviews
The leads, operators and maintenance who run it, on the record.
your systems
Orders, output, cost and downtime, pulled straight from your ERP.
your read
What you already suspect is wrong, and need someone to prove.
the evidence
Every finding comes back with proof.
Nothing reaches the list on our say-so. Here is one finding, and the three things holding it up.
finding 03Clean sprues going in the dumpster
$86K/yr
the video
[00:38:15] molding floor
Watch it happen, at the timestamp.
“
It runs like that all night.
the quote
shift lead, nights
The people who run the floor, on the record.
the numbers
near 5% scrap, by weight
Your resin buys against your parts shipped.
the analysis
Every finding becomes dollars, ranked.
Put in order by what it is worth, so the top of the list is the biggest prize, not the loudest problem.
the dashboard
It lands as a live dashboard.
Not a PDF that gets filed. Open any number and the evidence under it opens with it.
what is under this number
the maththe video · [00:38:15]a named quotethe plan
day 14 · findings in hand ■
scroll to step through, or pick one
We connect it all, so every improvement is easy to find, prove, and capture.
one tool
We connect everything that shows how your factory really runs, your own read on the business included, into one tool. It makes the hard parts easier: finding the improvements that matter, proving they hold up, and carrying them out.
the floor · video
Every line and operator, on video.
your team · interviews
The leads and operators who run it.
your systems · data
Orders, output, costs, downtime.
your read · priorities
What you already suspect, and need proven.
one tool
Your whole factory, in one place.
- 01
find
The improvements that actually move your bottom line, ranked and sized in dollars.
- 02
validate
Each one traced to the video, the math, and a named quote, with a chat to stress-test any number.
- 03
implement
A step-by-step plan for each, and the same tool with you when the floor pushes back.
the floor · video
Every line and operator, on video.
your team · interviews
The leads and operators who run it.
your systems · data
Orders, output, costs, downtime.
your read · priorities
What you already suspect, and need proven.
one tool
Your whole factory, in one place.
- 01
find
The improvements that actually move your bottom line, ranked and sized in dollars.
- 02
validate
Each one traced to the video, the math, and a named quote, with a chat to stress-test any number.
- 03
implement
A step-by-step plan for each, and the same tool with you when the floor pushes back.
Everything in one place, not a dozen disconnected reports, in a form you can act on. It all cross-checks against itself, so a finding only reaches you once it holds up.
nothing ships until it survives its own evidence
See exactly what you get, on a plant like yours.
the live sample
A live sample of the product: the same dashboard you receive, built on an illustrative plant so you can explore it for yourself.
Objections, addressed.
frequently asked
- Why not just upload our data to ChatGPT and self-serve?
- Two reasons. First, the data is not uploadable in any usable form. We ingest the full operational picture: walkthrough video, interview transcripts, P&L and operating financials, maintenance logs, equipment inventories, throughput and downtime data, and floor plans. Most mid-market plants have this scattered across paper binders, decades-old PDFs, and spreadsheets the operators keep on their own laptops, plus hours of walkthrough video that no consumer LLM can reason across. None of it lands in ChatGPT as a single coherent corpus. Second, self-reported data is systematically biased; outside walks paired with independently pulled financials and operating data capture reality, not reported metrics. Our pipeline processes the long video, structures every observation alongside the financial and operating data, and renders it as a dashboard where every claim cites back to a video timestamp, a named quote, or a specific line item.
- How is this different from operational consulting?
- Different artifact, different question. Operational consulting produces a strategic deck over four to six weeks. We deliver a live tool instead. Every ranked improvement comes with the math, video, named quotes, and the line-item financials and operating data behind each dollar, plus an AI analyst loaded with your factory data so the people actually running the plant, the manager, the line lead, the maintenance head, can stress-test any finding, understand why it works, and pull the implementation detail they need. A deck identifies the opportunity. A tool helps the operating team actually capture it. On engagements where both make sense, the two coexist. On most mid-market engagements, we are the only systematic operational read the team has.
- What if our team is already working with a consulting firm?
- Our findings complement their analysis rather than replacing it. We hand structured ground truth, with citations, to whoever is leading the improvement program, and the team gets the same live workspace from day one.
- How is the dashboard different from a static report?
- It is a living conversation, not a static report. A PDF tells you an opportunity exists. The dashboard sits next to your operations team and helps them actually capture it. Every recommendation has an embedded analyst loaded with the video, interviews, financials, and operating data we captured on and around your floor. The manager or line lead can ask why it works, what changes on day one, where the risks sit, and pull implementation detail mapped directly to their facility. The findings stay live and queryable as the plant evolves, not compressed into a deliverable that goes stale on day two. And it is just the first surface. The underlying findings will power more (capex models, lender packages, comparables from the corpus) over time.
- What is your data confidentiality posture?
- Standard NDA before any walk. Engagement data is governed by the executed engagement letter, not by general-purpose terms. Identifiable facility data and the dashboard are confidential to our clients and never shared, sold, or reused. Our benchmark set holds aggregate values only; anything that could identify a plant is stripped before it goes in.
- How do you handle worker privacy during walks?
- Explicit consent protocols. We capture process and equipment, not personally identifying data. No video of individual workers is retained, and interviews are summarized and de-identified before anything is written down.
who it's for
book a 20-minute intro
Twenty minutes is enough to know if this fits.
Engagement structure, anything the FAQ didn't cover, and whether there's a facility or portfolio worth scoping a walk against.
Or reach us directly:
aryan@pythiaindustries.com