Independent · Measured · Proven
The independent meter
for AI inference.
Cut your inference energy bill without losing a point of quality — and prove it. Joulity finds the cheapest way to run any model on any GPU, and measures energy and quality together so a "faster" config never silently breaks your model.
The problem
Inference is the new cloud bill — and it runs blind.
The same model can cost up to 2× the energy per token, decided only by how it's configured.
Teams tune serving configs by hand — if at all — and can't sweep every runtime and parameter.
A config that looks cheaper can silently degrade quality, and almost nobody measures both at once.
So you either leave savings on the table, or take them and quietly ship a worse model.
What we built
An autonomous agent that finds the cheapest correct config — and proves it.
Deploy
A signed agent runs on your own GPU box. The model never leaves your building.
Sweep
It searches serving configs — batch, concurrency, quantization, runtime — guided by a reasoning engine.
Score
Every config is gated on energy AND measured quality. Configs that break quality are rejected.
Refine & monitor
It returns the best safe config, then keeps watching for quality drift over time.
Not a runtime. Not a benchmark. A referee that measures, proves, and protects quality.
Proof it works
Real measurements, on real hardware.
The −7% config looked best on energy — the quality gate caught that it cost quality, and chose the −5% that held. A naive optimizer ships the broken one. Joulity flags it.
Early measurements on a test rig. Bigger safe wins on modern GPUs — validating next.
Why we're different
Everyone tunes for speed. Nobody proves quality.
| Tool | Cross-runtime | Gates on quality | Continuous monitoring | Independent service |
|---|---|---|---|---|
| Open auto-tuners | ~ | |||
| Vendor config tools | ||||
| Research frameworks | ~ | ~ | ||
| FinOps dashboards | ~ | |||
| joulityus |
The gap nobody fills: an independent service that optimizes across runtimes AND guarantees the win didn't cost you quality.
Built on trust
Your model never leaves your building.
Structural neutrality
We never own a model or a runtime. We measure every vendor neutrally, so our verdict is trusted.
Your data stays put
Outbound-only, signed, auditable agent. Only fingerprinted results leave the box. Security is a feature, not an afterthought.
A compounding advantage
Every audit adds measured results across chips, models, and runtimes. The database compounds — and a single-vendor tool can't clone it.
Who it's for
If you pay the power bill, this is for you.
Neoclouds & GPU providers
More sellable tokens per megawatt, with independent efficiency proof.
Self-hosters & AI-native products
Cut inference cost without an in-house tuning team.
Sovereign & on-prem operators
Efficiency and quality proof, with your model never leaving your environment.
Get started
Back the meter the AI economy is missing.
The savings are proven before you change a line.