Calculator

What this is worth on your own bill.

You put your figures in. We apply the reductions we have measured, and every output line names the benchmark it came from.

Nothing on this page is a number we know about you. The baseline is yours, the ratios are ours, and the two are kept visibly apart — which is the opposite of how a vendor calculator usually works, where the baseline is assumed for you and the saving falls out of an assumption you never see.

Steps 1 to 3 · Your industry, your numbers, your result

Pick your industry. Change anything that is not yours.

Your industry fills in a typical baseline. Every figure after that is yours to change, and every output line names the measurement it came from.

EXAMPLE FIGURES — NOT YOURS

Put In Your Figures. See What The Measured Ratios Do To Them.

The baseline below is a worked example for enterprise data centre, not a number we know about you — change any field and it becomes yours. The reductions applied to it are measured, and every line names the benchmark it came from.

READING ENGINE…

Composed cost reduction84.54%seeded test

Composed compute saving54.5%0 violations

Guards2,007 of 2,007across 380 guards

ComputedPublishedengine unreachable

Your industry

Typical corporate facility overhead means every watt of compute removed takes roughly half a watt of cooling and distribution with it.

Picking an industry only changes the starting numbers below and the assumed facility overhead. The measured reductions are the same for every industry on this list — they are a property of the engine, not of who is running it.

Your baseline

Spend in scope

$/ yr

What you spend a year on the workload you would bring. Not your whole bill.

Servers

Servers in your own facility running this workload.

Watts per server

W

Your average draw per server. Ours is not a substitute for yours.

Power cost

$/ kWh

Your contracted electricity price.

Cooling & facility (PUE)

×

Facility overhead (PUE): total site draw ÷ compute draw. 1.0 shows compute alone. Yours, not ours.

Include the performance modules25% of saving plus capacity gained — the lower rate, on the wider base.

Spend avoided$10.14M / yr84.54% composed cost reduction, reproducible from our published seeded cost benchmark.

Compute energy saved0 MWh / yr54.5% composed compute saving, reproducible from our published seeded compute benchmark with zero violations, of which you consolidate 0%. Compute draw only — not facility power. A device handed less work draws the same power until the remaining work is packed onto fewer devices.

Energy cost avoided$0 / yrCompute energy actually shed, at your own 0.14/kWh.

TOTAL SITE ENERGY AVOIDED0 MWh / yrCompute energy saved × your PUE of 1.50: removing compute removes the cooling and distribution that served it. ESTIMATED — the multiplier is your facility's, the compute reduction is measured.

TOTAL POWER BILL AVOIDED$0 / yr0 MWh at your $0.14/kWh. Includes the cooling and distribution avoided, not just the compute.

Total annual saving$10.14M / yrSpend avoided plus, where you run your own compute, the energy cost avoided. Both are money not spent — they share a unit and may be added.

Capacity gained, valued$14.37M / yr54.5% compute saved ⇒ 2.20× PER UNIT OF MODELLED COMPUTE, valued at your own spend rate. Not tokens per second and not a hardware measurement: the saving is measured in relative compute units against a declared model, and this is that same measurement read the other way — which is why it is shown separately and added only once.

Combined value$24.52M / yrMoney not spent plus work now doable without buying hardware. Added once, as value — never summed into a single percentage.

WUBBERY share (25%)$6.13M / yr25% of the combined value above — the rate falls from 35% because the performance modules widen what it is charged on. If nothing is saved and no capacity is freed, nothing is owed.

Net to you$18.39M / yrCombined value less the 25% share.

Also measured, for enterprise data centre

Measured outcomes, not priced here. A shadow run on your own traffic puts a number on each.

Memory pool21.333× smallerAcross 64 machines, against the same fleet with its peaks stacked on top of each other. Your shadow run prices yours.

We do not claim this number

Adding the levers instead of composing them on the remainder gives 116.64% — more than the spend itself. We publish the gap rather than the bigger number.

$14.00M / yrrefused — the figure above it is the one we stand behind

What this is and is not

These are estimates from your inputs, not a measurement of your systems.
The ratios come from our seeded benchmark traffic, reproducible from one command. Your mix is not our mix — the shadow replay runs against your own logs and returns your number, without changing what you serve.
Compute energy is compute draw only. Cooling, PUE and your AI share of IT load are inputs only you have.
Cost avoided and capacity gained have different denominators, so they are never combined into a single percentage. They are added once, as money, only to price the share — and both halves stay on screen so the addition can be checked.
Capacity is a modelled figure: the compute saving is measured in relative compute units against a declared model, not in tokens per second on hardware.

Want your real number rather than an estimate? The shadow replay runs against your own logs and changes nothing you serve.

Check the ratios yourself: GET /api/wubbery/proof — no key, no input, computed on request.

Step 4 · See it for yourself

Watch it happen, live.

The engine measures itself live on its own server, and your device runs the ordinary way beside it. Nothing about you is sent, and it takes about ten seconds.

Live on our engine · your device runs the ordinary way · no account

Don’t take the numbers on trust. Run it.

The engine measures itself on its own server, just now, beside the ordinary way on the same keys, as the store grows a hundredfold. Your device runs the ordinary way too, so you can watch your own machine slow down.

Nothing about your device is sent. One request fetches the engine’s live reading.

Step 5 · Your real number

See it on your own traffic, free.

Everything above is our measurement applied to your baseline. The shadow run replaces our measurement with yours: it runs beside your system, changes nothing you serve, and you can stop it in a click.

Start a free shadow run →How it is priced

What the figure is, and what it is not

Cost avoided. Not capacity gained, and never both added up.

84.54%: off the compute bill, composedSeed 3, 3,000 requests, computed on the remainder and never summed. This is the ratio the estimator applies to your spend.
39.16%: off the bill with your model held fixedNothing re-routed and nothing swapped — the figure for a reader who does not want their model choice touched at all.
54.5%: compute saved, zero violationsRead the other way, 2.20× the work per unit of modelled compute. One measurement seen two ways — never two wins stacked.

The estimator shows cost avoided. The other half — capacity gained, the same measurement read as throughput — is in the console against your own traffic, because it depends on what you do with the freed compute. The two are added once, as money, and never summed as percentages.

What it costs you

Say you spend $100.00 today.

With the cost modules alone we save you $84.54. Our share is 35% of that saving, $29.59 — so your total is $45.05 instead of $100.00, and $54.95 of the saving stays with you.

If nothing is saved there is nothing to share. That is the whole commercial model, and it is why the shadow run that produces your real number is free and changes nothing you serve.

Start a free shadow run →

Across 32 industries

The percentage barely moves.

Which is the useful finding, and the one a per-industry table is usually built to obscure. Open it if you want your own row; the summary is that your industry is not the variable that decides your number.

The same reductions across 32 industries

The same engine, 32 different bills

Every row below uses the identical measured reduction — 84.54% off cost, 54.5% less compute. Nothing here is an industry-specific claim, because there is no such thing: the saving is a property of the engine, not of who is running it. What changes down the table is the size of the bill it is applied to, and how much cooling your building adds on top.

Industry	Modules	PUE	Cost avoided	Capacity value	Site MWh	Power $	Combined	You keep	We earn
Hyperscale / cloud providerData centres & infrastructure	82	1.15	$33.82M	$47.91M	76,865	$6.15M	$81.73M	$61.30M	$20.43M
AI platform / inference providerData centres & infrastructure	64	1.25	$16.91M	$23.96M	21,484	$2.15M	$40.86M	$30.65M	$10.22M
Enterprise data centreData centres & infrastructure	78	1.50	$10.14M	$14.37M	16,113	$2.26M	$24.52M	$18.39M	$6.13M
Pharmaceutical / life sciencesRegulated	56	1.60	$7.61M	$10.78M	6,951	$904k	$18.39M	$13.79M	$4.60M
Financial servicesRegulated	29	1.55	$6.76M	$9.58M	4,995	$649k	$16.35M	$12.26M	$4.09M
Telecom / ISP / internetData centres & infrastructure	33	1.45	$5.92M	$8.38M	5,538	$609k	$14.30M	$10.73M	$3.58M
Colocation / managed hostingData centres & infrastructure	36	1.45	$5.07M	$7.19M	4,154	$665k	$12.26M	$9.19M	$3.06M
Automotive / mobilityIndustry & operations	23	1.55	$4.65M	$6.59M	4,884	$586k	$11.24M	$8.43M	$2.81M
Insurance / actuarialRegulated	25	1.55	$3.38M	$4.79M	2,331	$303k	$8.17M	$6.13M	$2.04M
Aerospace / space & defenceIndustry & operations	25	1.70	$2.96M	$4.19M	2,435	$292k	$7.15M	$5.36M	$1.79M
Government / public sectorRegulated	18	1.65	$2.54M	$3.59M	1,654	$248k	$6.13M	$4.60M	$1.53M
Retail / e-commerceIndustry & operations	22	1.55	$2.54M	$3.59M	2,072	$290k	$6.13M	$4.60M	$1.53M
Research / scientific computingIndustry & operations	50	1.50	$2.37M	$3.35M	4,010	$441k	$5.72M	$4.29M	$1.43M
Energy / utilitiesIndustry & operations	27	1.60	$2.11M	$2.99M	2,062	$144k	$5.11M	$3.83M	$1.28M
Security / cyber operationsRegulated	22	1.60	$1.86M	$2.64M	1,375	$192k	$4.50M	$3.37M	$1.12M
Healthcare / clinicalRegulated	50	1.70	$1.69M	$2.40M	812	$122k	$4.09M	$3.06M	$1.02M
Mining / resourcesIndustry & operations	29	1.95	$1.52M	$2.16M	1,396	$279k	$3.68M	$2.76M	$919k
Chemical / process industryIndustry & operations	25	1.85	$1.35M	$1.92M	1,214	$121k	$3.27M	$2.45M	$817k
Games / real-time 3DSoftware & services	39	1.40	$1.27M	$1.80M	1,337	$187k	$3.06M	$2.30M	$766k
Logistics / transportIndustry & operations	21	1.60	$1.01M	$1.44M	962	$125k	$2.45M	$1.84M	$613k
Media / creative productionSoftware & services	27	1.50	$845k	$1.20M	859	$137k	$2.04M	$1.53M	$511k
Manufacturing / industrialIndustry & operations	18	1.85	$761k	$1.08M	530	$64k	$1.84M	$1.38M	$460k
Legal / professional servicesRegulated	37	1.80	$507k	$719k	180	$31k	$1.23M	$919k	$306k
Sport / events & venuesSoftware & services	19	1.60	$507k	$719k	344	$52k	$1.23M	$919k	$306k
Construction / built environmentIndustry & operations	16	1.95	$423k	$599k	261	$42k	$1.02M	$766k	$255k
Real estate / propertySoftware & services	38	1.60	$380k	$539k	94	$14k	$919k	$690k	$230k
SaaS / software productSoftware & services	45	1.40	$338k	$479k	94	$14k	$817k	$613k	$204k
Agriculture / food productionIndustry & operations	16	1.90	$338k	$479k	190	$25k	$817k	$613k	$204k
Education / schools & universitiesSoftware & services	46	1.75	$254k	$359k	117	$18k	$613k	$460k	$153k
Hospitality / food serviceIndustry & operations	19	1.85	$211k	$299k	53	$9k	$511k	$383k	$128k
Non-profit / NGOSoftware & services	33	1.80	$76k	$108k	13	$2k	$184k	$138k	$46k
Small business / startupSoftware & services	29	1.90	$34k	$48k	5	$980	$82k	$61k	$20k
One of each (32)							$290.40M	$217.80M	$72.60M

Two things worth reading off this table. The spread from the smallest row to the largest is roughly a thousandfold — which is why a single calculator with a single default was never going to speak to everyone. And facility overhead moves opposite to size: manufacturing at 1.85 and legal at 1.80 get proportionally more back per watt removed than a hyperscaler at 1.15, because they are paying more to cool every watt they run.

These baselines are illustrative, and they are not your numbers. They are a plausible shape for each kind of operation, chosen so the calculator opens on something recognisable rather than on a hyperscaler’s fleet. The percentages are measured; the dollars are arithmetic applied to a bill we guessed. Put your own figures into the calculator above and the same measured ratios produce your number instead of ours.

Why our rate falls as the deal widens, shown rather than claimed. Those same 32 customers on 35% of the saving alone would pay us $42.05M. On 25% of saving plus capacity they pay $72.60M — and every one of them is better off, because the second deal only charges for capacity that was actually handed back. A lower percentage of a bigger, real number. If we find nothing, both columns are zero.

84.54% COMPOSED COST REDUCTION · 54.5% COMPOSED COMPUTE SAVING (2.2× CAPACITY) · ENERGY IS ESTIMATED, NOT METERED · VERIFY: GET /v1/public/proof

The full benchmark suite is on the tester, and every figure with its condition is one page.