The benefit calculator
What PFN Studio gives you back, in your numbers.
Every default below is a published, cited figure. Adjust each to your team — the output is your calculation, computed transparently, not our claim. No PFN-specific time study exists yet; the percentages are measured on ML and data-science work broadly, which PFN-building mirrors stage for stage.
YOUR NUMBERS (CITED DEFAULTS)
Assumption. Set your headcount — the slider goes to 250.
Cited default: $190K–$230K/yr fully loaded (salary + benefits + tools + compute overhead), BLS Employer Costs for Employee Compensation, Sept 2025, via 2026 ML hiring-cost research. Frontier labs run higher.
Cited default: ~45% of data-science time goes to data preparation, Anaconda, State of Data Science.
Assumption. Accelerator spend per year, in $K (type 5000 for $5M).
Cited default: 60–70% of GPU budgets sit idle, Mirantis / AptlyTech, 2026.
Cited default: successful ML projects average 7 months to deploy; 87% never reach production, Contrary Research (W&B business breakdown).
YOUR ASSUMPTION, NOT OURS
There is no measured PFN Studio speedup to cite, so this number is yours. Set it to what you believe after the demo — the result is labelled as your estimate.
HOW TO READ THIS: set your numbers on the left. Step 1 prices today's manual loop. Step 2 is what PFN Studio removes. Step 3 is what you get back.
STEP 1 · WHAT THE MANUAL LOOP COSTS YOU TODAY
$538K
per year: $473K of payroll on manual prep and plumbing + $65K of idle GPU spend.
THE MATH 5 × $210K = $1.05M/yr × 45% = $473K + $100K GPU × 65% idle = $65K
STEP 2 · WHAT PFN STUDIO REMOVES
↓PFN Studio takes over the seven manual steps mapped below. You decide how much of the Step 1 cost goes away — with the slider on the left.
STEP 3 · WHAT YOU GET BACK · YOUR ESTIMATE
$269K
back per year, if PFN Studio removes 50% of that cost. The fraction is yours; so is the number.
THE MATH $538K annual manual cost × 50% (your slider) = $269K / yr
RECOVERY FRACTION IS USER-SET · NO MEASURED PFN SPEEDUP EXISTS
CONTEXT · EVERY MANUAL WEEK
$4,038
of payroll per researcher, per week the loop stays manual.
CONTEXT · COST OF THE SHIP DELAY
$613K
of team cost burned before a typical project returns anything; 87% never do.
WHERE IT LEAKS · THE SEVEN MANUAL STEPS
1
Hand-write the prior
Payroll: weeks on the paradigm’s hardest artifact
2
Wire the loop from scratch
Payroll: more weeks on plumbing, not science
3
Babysit the GPU run
Compute: $500–$7K per silent failure; most GPU spend idle
4
Rebuild baselines by hand
Payroll: weeks re-proving what is already published
5
Hunt configs across chats
Verification drag: review time up 91% (Faros AI 2025)
6
Pass work by hand
Knowledge walk-out: $22K–$45K and 60–90 days per replaced hire
7
Stand up a stack per demo
Delay: the last mile of the 7-month ship time; 87% never finish
Sources: fully loaded ML engineer cost $190K–$230K/yr, BLS Employer Costs for Employee Compensation (Sept 2025) via 2026 hiring-cost research · ~45% of data-science time on data preparation, Anaconda State of Data Science · 60–70% of GPU budgets idle, Mirantis / AptlyTech 2026 · 87% of projects never reach production and 7-month average deploy, Contrary Research (W&B business breakdown) · training-run costs $500–$7K, 2026 cloud GPU pricing data · review time +91%, Faros AI 2025 · cost-per-hire $22K–$45K and 60–90-day time-to-fill, 2026 ML hiring-cost research.
Honesty notes: figures are measured on ML and data-science work broadly; no PFN-specific study exists, and PFN-building runs the same manual stages. No per-step dollar split exists; steps are tagged with the cited cost they drive. The recovery fraction is set by you and the recovered-dollars figure is your estimate, not a measured PFN Studio result.
Honesty notes: figures are measured on ML and data-science work broadly; no PFN-specific study exists, and PFN-building runs the same manual stages. No per-step dollar split exists; steps are tagged with the cited cost they drive. The recovery fraction is set by you and the recovered-dollars figure is your estimate, not a measured PFN Studio result.