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
- Output
- Ranked improvements
- Evidence
- Every dollar defended
From kickoff to findings in hand
Sortable by EBITDA, payback, or difficulty
Math, video timestamps, and named quotes
Die-change stall
Press Line 3 · crew waiting on tooling cart
WIP queue at infeed
Buffer over-stacked between presses
Operator handoff gap
Cell A · shift handoff idle, recurring daily
Tooling cart shortage
Shipping prep blocked by missing fixtures
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.
- 012 days on-site
Walk
Every line, cell, and utility room. Operators, leads, maintenance, management. Video, floor plans, and interview transcripts captured the same way every walk.
- 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.
- 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, and data, built to stress-test any of it.
- AHeadline EBITDA opportunityFirm vs. conditional
- BRanked recommendation cardsSortable by value, payback, difficulty
- CAudit trail per cardLogic, video timestamps, named quotes, risks
- DEmbedded chatStress-test every finding against your factory's own video, interviews, and data.
- EComparable benchmarksHow your metrics stack up against similar facilities in the corpus
Sample dashboard
What you receive.
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.
Firm
$496,000
not gated
Conditional
$640,000
needs sales audit
One-time cash
$120,000
equipment salvage
Eliminate Press Line 3 changeover stalls
- Capex
- $180K
- Payback
- 4 months
- Difficulty
- 4/5
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
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 deliver 15–25 improvements with the math, video timestamps, and operator quotes behind each dollar, and an AI analyst loaded with your factory's data so you can stress-test every finding against what we actually saw on the floor.
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, and data. Stress-test any number against what we actually saw on the floor.
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. You get every improvement we found, ranked by ROI, with the math and evidence 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, risks.
Embedded chat analyst
An AI loaded with your factory's video, interviews, and 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.
Why Pythia
Three things, all of which compound.
Audit trail
Every dollar traceable to a math sentence, a video timestamp, and a named quote. Designed to survive a board review, an LP update, or a skeptical CFO.
Vendor neutrality
No equipment sales. No software licenses. No OEM kickbacks. The only revenue is the engagement.
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?
- The core problem is video. A factory tour produces hours of walkthrough footage, and no consumer LLM, ChatGPT included, can ingest or reason across long-form video like that. Even setting video aside, most mid-market manufacturers don’t have the rest of the data in uploadable form: paper maintenance logs, missing equipment inventories, decades-old floor plans. Self-reported data is also systematically biased; outside walks capture reality, not reported metrics. We pair the on-site capture with a pipeline built to process long video, structure the observations, and render them as a dashboard where every claim cites back to a video timestamp or a named quote.
- 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, and quotes 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, and data we captured on 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