ioLite Gateway
The same standard,
inside your stack.
For AI platforms, model catalogs and labs. The taxonomy behind every ioLite audit runs where your models run: through an API before release, as scorecards across a catalog, and next, live at the inference gateway.
Model-agnostic
It sits on model output. Every model in your catalog, none of them changed.
Optional, auditable and independent: the systems it scores have no say in the result, and every score carries its transcript and rationale.
What it does
Grade, gate, and watch, with one rubric.
Evaluation API and agent middlewareEarly access
Score model output from your own pipelines. Agent middleware grades tool-using agents in line.
Model and vendor scorecardsEarly access
Every model in a catalog scored before a customer sees it, with model-to-model comparison.
Release gatesComing
Block, warn or pass a model version against the safety gates before it ships.
Live scoring at the gatewayComing
Live traffic scored with the same taxonomy, so drift in production shows up the day it starts.
Wherever the model runsEarly access
Cloud, on-premises or edge endpoints.
Platform partnership
A 90-day pilot
The standard on a slice of your catalog or traffic, with a joint readout at the end.
A two-quarter build
ioLite Gateway integrated as an optional capability your customers can switch on.
Study 02 on your hosted models
Model access and credits for the next study, with results co-published.
First in line
Partners get the certification seal first and a seat shaping the standard.
Put the standard where your models run.
Early access is open to a small number of platforms and labs. Tell us about your catalog or your release process.