Research & Evidence
Comprehensive research backing Quallaa's claims about AI performance, platform limitations, and marketing operations speed. All findings based on 2023-2025 academic studies and industry benchmarks.
AI Agent Performance Research
Why text-based AI agents outperform visual agents by 2-5x in speed with 50-70% fewer errors
Platform Limitations & Vendor Lock-in
Why platforms can't support custom attribution, complex workflows, and unique marketing logic
Marketing Operations Speed
When AI executes marketing operations directly vs clicking through HubSpot, Marketo, Google Analytics
Research Methodology
Academic Sources
- •VisualWebArena Benchmark (ACL 2024)
- •SWE-bench Software Engineering Benchmark
- •Vision Models Context Understanding (ICML 2024)
- •ACL Conference Computer Vision Research
Industry Studies
- •UiPath RPA Production Environment Analysis
- •Gartner & Forrester Market Research (2023-2025)
- •OpenAI & Anthropic Computer Use Benchmarks
- •Enterprise automation case studies & ROI analyses
All research pages include interactive lessons, detailed citations, and links to original sources. Data verified through multiple independent studies and production deployments.
See the Research in Action
Quallaa is built on these research findings—giving AI the text-based, code-first environment where it performs 2-5x faster with 50-70% fewer errors.

