Enterprise AI Analysis
Gym-Anything: Turn any Software into an Agent Environment
Gym-Anything introduces a scalable framework for converting any software into an interactive computer-use environment. This multi-agent pipeline automates environment creation and task generation, resulting in CUA-World, a collection of over 10,000 long-horizon tasks across 200 software applications. The framework uses GDP data for software selection, a creation-audit loop for environment verification, and a propose-and-amplify strategy for task generation, dramatically expanding the scope of computer-use agent evaluation and training.
Executive Impact & Key Metrics
Our framework delivers unparalleled scale and realism for AI agent training and evaluation, pushing the boundaries of what's possible in computer-use automation.
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Long-Horizon Tasks
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Software Applications
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Major Occupation Groups
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Operating Systems Covered
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Overview
Benchmark
Impact
Methodology
Gym-Anything Pipeline Overview
The Gym-Anything framework simplifies the creation of interactive computer-use agent environments through a multi-stage automated pipeline.
Enterprise Process Flow
GDP-Grounded Software Selection
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Any Software → Agent Environment
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Scaling Tasks & Environments
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Evaluation on CUA-World
CUA-World: A New Benchmark for Realistic Computer-Use Agents
CUA-World stands out by offering unprecedented scale, realism, and long-horizon tasks compared to existing benchmarks.
| Feature | CUA-World (Ours) | Typical Benchmarks |
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| Interactive Environments | 200+ varieties | 1-20 applications |
| Tasks | 10,000+ | 1-5,400 |
| Long-Horizon Tasks |
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| Occupational Coverage | 22/22 SOC groups | 1-13/22 SOC groups |
| Automated Environment Creation |
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Key Findings and Performance Impact
Our research demonstrates significant improvements in model performance through data distillation and novel auditing techniques.
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2B distilled model pass rate on CUA-World-Test, outperforming models 2x its size.
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Gemini-3-Flash pass rate on CUA-World-Long with Test-Time Auditing, up from 11.5%.
Iterative Creation-Audit Loop for Quality
The multi-agent creation-audit loop ensures high-quality environments and tasks, with independent verification and continuous improvement.
Example: PEBL Environment Fix
The creation-audit loop iteratively corrects issues. In an example with PEBL (Psychology Experiment Building Language), the Round 1 audit found a critical error where the task description specified wrong response keys that made the task uncompletable. The Creation Agent corrected the description to defer to on-screen instructions. The Round 2 audit confirmed the fix, turning a FAIL verdict into a PASS.
Advanced ROI Calculator
Estimate the potential cost savings and reclaimed human hours by automating computer-use tasks within your organization.
Estimated Annual Cost Savings
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Annual Hours Reclaimed
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Your AI Implementation Roadmap
A clear, phased approach to integrating computer-use agents into your enterprise workflows for maximum impact and minimal disruption.
Phase 01: Discovery & Strategy
Comprehensive assessment of current manual workflows, identification of high-impact automation opportunities, and a tailored strategy blueprint.
Phase 02: Environment & Task Creation
Leveraging Gym-Anything, we automate the setup of software environments and generate realistic, long-horizon tasks specific to your business needs.
Phase 03: Agent Training & Refinement
Train state-of-the-art computer-use agents using distillation from expert trajectories and iterative refinement, ensuring robust performance.
Phase 04: Deployment & Monitoring
Seamless integration of agents into your existing infrastructure, continuous performance monitoring, and ongoing optimization for sustained ROI.
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