We walk your factory and find every dollar it's leaving on the floor.

Specific, dollar-quantified improvements, ranked by value, with the math and evidence behind each one, and an AI analyst loaded with your factory's data so you can stress-test every finding.

Turnaround
2 weeks

From kickoff to findings in hand

Output
Ranked improvements

Sortable by EBITDA, payback, or difficulty

Evidence
Every dollar defended

Math, video, named quotes, financials, and operating data

WALK PATH · ROUTE 014
DOCK 01COIL STAGINGPRESS LINE 1PRESS LINE 2PRESS LINE 3WIP BUFFERASSEMBLY AASSEMBLY BQC LABSHIPPINGENTRY ›› EXIT1234
1[00:14:22]
$240K/yr

Die-change stall

Press Line 3 · crew waiting on tooling cart

2[00:18:47]
$95K/yr

WIP queue at infeed

Buffer over-stacked between presses

3[01:02:11]
$100K/yr

Operator handoff gap

Cell A · shift handoff idle, recurring daily

4[02:31:08]
$160K/yr

Tooling cart shortage

Shipping prep blocked by missing fixtures

$595K/yr in annual opportunity surfaced from 4 findings · math, video, named quote, financials behind each

The problem

Operational upside is real. Finding it systematically is the hard part.

For PE operating partners

Operational improvements can save millions. Finding, interrogating, and implementing them is the hard part.

For manufacturers

Most plants are leaving money on the floor. Finding all of it, and trusting the number, is the hard part.

What we do

Every dollar your factory is leaving behind. Found, ranked, and defended.

We surface specific, dollar-quantified improvements, rank them by what moves the needle first, and explain exactly how to capture each one in your specific facility.

  1. 012 days on-site

    Walk

    Every line, cell, and utility room. Operators, leads, maintenance, management. Video, floor plans, and interview transcripts captured on-site, alongside the financials and operating data we pull in parallel. Same structured ingestion every engagement.

  2. 02Structured analysis

    Analysis

    Every observation, measurement, and quote becomes a structured analysis. We find the improvements, build the dollar case for each, and rank them by what moves the needle first.

  3. 032 weeks turnaround

    Dashboard

    A ranked improvement plan with EBITDA impact, capex, payback, and an implementation guide for every finding. Plus a chat trained on your factory's video, interviews, financials, and operating data, built to stress-test any of it.

DASHBOARD SURFACE5 layers · rendered from one fingerprint
  • AHeadline EBITDA opportunityFirm vs. conditional
  • BRanked recommendation cardsSortable by value, payback, difficulty
  • CAudit trail per cardLogic, video timestamps, named quotes, financials, operating data, risks
  • DEmbedded chatStress-test every finding against your factory's own video, interviews, financials, and operating data.
  • EComparable benchmarksHow your metrics stack up against similar facilities in the corpus
Every finding is fully defended: math, video, financials, operating data, and a chat analyst built to stress-test it against your factory's own data.

Sample dashboard

What you receive.

synthetic · interactive

A ranked, defended EBITDA stack with every finding traceable to math, timestamps, and named quotes. Re-sort and click any card to inspect the audit trail.

Facility-001 · Precision metal components · 142,000 sqftsynthetic
Annual EBITDA opportunity3 recommendations
$1,136,000/ yr

Firm

$496,000

not gated

Conditional

$640,000

needs sales audit

One-time cash

$120,000

equipment salvage

Sort by
Audit trailscoped
ThroughputmediumConditional

Eliminate Press Line 3 changeover stalls

$640,000/ yr EBITDA
Capex
$180K
Payback
4 months
Difficulty
4/5
Throughput gain requires sales-backlog audit

Math

Press Line 3 loses ~1,500 hrs/yr to changeovers. SMED target recovers ~720 hrs × ~890 stamps/hr × $1.05 contribution ≈ $674K, minus $34K training & tooling reallocation = ~$640K net/yr.

Evidence

  • [00:14:22] Die-change crew waiting on tooling cart
  • [00:18:47] WIP queue stacked at infeed conveyor
  • [01:23:08] 47-minute changeover observed Line 3

Quotes

Half of what we book as "maintenance time" on Line 3 is really die changes done the long way around.

Plant Manager

Risks

  • Throughput gain only converts to revenue if sales backlog can absorb it
  • Operator pushback on dedicated changeover-crew compensation structure
Synthetic data · real engagements confidential

For PE operating partners

Find every dollar of operational upside in your portfolio.

For industrial PE sponsors, $50M–$300M enterprise value. Post-close, your operating partner inherits a factory without a ranked, evidence-backed picture of where the upside lives. We ingest the full operational picture, walkthrough video and interviews on-site, financials and operating data in parallel, and deliver 15–25 improvements with the math, video timestamps, operator quotes, and line-item financials behind each dollar, plus an embedded AI analyst loaded with all of it so you can stress-test every finding against what we actually saw on the floor.

POST-ACQUISITIONwhere the dashboard earns its keep
1Acquisition closeDay 0
2Dashboard deliveredDay 14
3100-day planDay 15
4EBITDA targetsMonth 12
  • Post-acquisition baseline

    Know operationally what you bought, within two weeks of close.

  • 100-day plan foundation

    A ranked, evidence-backed action list from day one rather than gut feel.

  • Capex prioritization

    Every request ranked against the full opportunity stack, with payback.

  • Every finding, pressure-tested

    An AI analyst loaded with your factory video, interviews, financials, and operating data. Stress-test any number against what we actually saw on the floor.

Engagement2 weeks
On-site2 days
For$50M–$300M EV
Book a 20-minute intro

For mid-market manufacturers

Know what your factory is leaving on the floor.

For founder-owned and recently acquired industrial plants ($25M–$500M revenue) that want to know what they're leaving on the floor without a multi-month consulting engagement. We ingest the full operational picture, walkthrough video and interviews on-site, financials and operating data in parallel. You get every improvement we found, ranked by ROI, with the math, video, named quotes, and line-item financials behind each one, plus an AI analyst loaded with your factory's data so you can stress-test every finding against what we actually saw.

  • Ranked action queue

    Sortable by EBITDA value, payback, or difficulty.

  • Audit trail per item

    Math sentence, video timestamps, named quotes, financials, operating data, risks.

  • Embedded chat analyst

    An AI loaded with your factory's video, interviews, financials, and operating data. Stress-test every finding against what we actually saw on the floor.

  • Comparable benchmarks

    How your operation measures up against similar facilities by sector, scale, and process type.

Vendor neutral. No equipment sales, no software licenses, no OEM kickbacks.

On-site2 days
Turnaround2 weeks
For$25M–$500M revenue
Book a 20-minute intro

Why Pythia

Three things, all of which compound.

01

Audit trail

Every dollar traceable to a math sentence, a video timestamp, a named quote, and the line-item financials and operating data behind it. Designed to survive a board review, an LP update, or a skeptical CFO.

02

Vendor neutrality

No equipment sales. No software licenses. No OEM kickbacks. The only revenue is the engagement.

03

A system, not a deck

Consultants hand you a deck. It gets buried within 90 days. Our dashboard is where the findings actually live: every recommendation has the full evidence loaded and a chat analyst built to stress-test it against the data we captured on your floor.

Different artifact, different question. Operational consulting produces a deck. We deliver a live dashboard where every finding stays fully explained, fully challengeable, and never compressed into a PDF that goes stale.

Frequently asked

Objections, addressed.

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. The corpus stores aggregate, de-identified values for benchmarking; identifiable attributes are stripped before anything enters it.
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 enters the fingerprint.

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
SCHEDULE / 20-MIN INTROCal.com