READY or Not enterprise agent deployment benchmarks C

Name: READY or Not enterprise agent deployment benchmarks
Creator: Scale AI
Keywords: Coding,Computer Use,Enterprise Workflows,Long-Horizon

AI benchmark · Coding

Publisher: Scale AI
Domains: Coding Computer Use Enterprise Workflows Long-Horizon
On X: @scale_ai ↗
Tier: C why
Snapshot: October 11, 2026

Open benchmark ↗labs.scale.com/papers

Latest from Scale AI on X

@scale_ai ↗

Every RL environment we build runs on AgentEnv. Today we’re open-sourcing it, so more people can build the worlds agents learn in.
— scale_ai (@scale_ai) Oct 6, 2026
We’re excited to bring @nvidia's Open Agent Safety Platform technologies to Scale GenAI Portfolio, helping us build, train, deploy, run, and evaluate AI agents in controlled environments with enforceable security and a clear record of their actions.
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We’re partnering with @googlecloud to make it easier for enterprises to put AI to work. Our joint reference architecture is a blueprint bringing the Scale GenAI Portfolio to Google Cloud, with Gemini Enterprise integration. Excited to give builders a proven foundation to put AI to work faster.
— scale_ai (@scale_ai) Sep 24, 2026

What is READY or Not enterprise agent deployment benchmarks?

READY measures whether AI agents can be reliably deployed on enterprise workflows by jointly assessing reliability, human-oversight burden, and cost, producing a statistically qualified deployment profile.

Enterprise work mostly
“a suite of industry-specific benchmarks that measure agents the way enterprises actually use them: working alongside people, inside real workflows.”
labs.scale.com/blog/ready ↗
Health and bio
“We're launching with two healthcare benchmarks, CliniCARE-Bench and PSEBench, with other industries, such as financial services, coming soon.”
labs.scale.com/blog/ready ↗

Who built READY or Not enterprise agent deployment benchmarks

Scale AI built it
“Today we're introducing READY (Reliable Enterprise Agent Deployment), a suite of industry-specific benchmarks that measure agents the way enterprises actually use them”
labs.scale.com/blog/ready ↗

Paper: arxiv.org/abs/2609.02095 ↗

Tier C

Niche: a handful of models scored, or built by an RL vendor.

How much stands behind a tier: usage, who backs it, a confirmed line from its own site or paper, and a clear read on X. High with three of the four, medium with two, low otherwise.

built by Scale AI
in curated RL directories (2 pts)

How we got to tier C

Adoption: built by Scale AI. Tier C.
Not yet read on X.
In curated RL directories: 2 points, a floor of C.
Confirmed: a line from its own site or paper places it.

A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.

Where READY or Not enterprise agent deployment benchmarks sits

Its realm in the universe, live. Hover a star for its name; click to open it. Open it in the universe

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