Most evaluation tools are framework you operate yourself — great if you have a data scientist. Modeljury gives you the same rigour as a verdict you can act on, simple enough for anyone. Pick your world below.
A real bake-off on your data with a confidence range — not a leaderboard, not a guess.
Describe the task in plain English. No test harness, no ML vocabulary, no prompt rabbit-hole.
We test the whole roster — cloud and open — and don’t sell you inference, so the verdict is unbiased.
Sensitive runs can spin up on demand and tear down after — your data isn’t kept around.
You’re shipping AI features without an ML team. Stop guessing which model is good enough — prove it on your own task in a couple of minutes.
Tasks people bring
The hook: run it free with no signup. Enter your email only to schedule the free weekly re-check — and we’ll email you only when a cheaper model clears your bar. No noise.
You build AI products for clients — without a data scientist on staff. Modeljury gives you a verdict you can defend to a client, and a model bill you can keep shrinking.
A typical engagement
Why it pays: replace a 2× ML salary, turn monitoring into a client-paid feature, and bring inference cost down without dropping quality. For the studio it’s near-zero cost; the running cost lives with the final client — forever.
You’re building on LLMs and evaluating models yourself. Get a trustworthy second opinion — and stop burning runway on the wrong model.
Tasks people bring
A chunk of every cheque you write goes to LLM spend. Give your portfolio a standing way to keep that spend efficient — and extend their runway.
The pitch to your founders
Win-win: lower model bills mean longer runway and more shots on goal — better odds for the company and for you. A warm intro from an investor is also the fastest way we reach the teams who need this.
Run a bake-off on a real task — it’s free and takes a couple of minutes. If you’re a studio, startup, or investor and want to talk through fit, email info@modeljury.ai.