Aisera Benchmarking Report

Battle of AI agents: Learn why domain-specific AI agents win!
Aisera introduced the CLASSic framework, a first-of-its-kind benchmark assessing AI agents on cost, latency, accuracy, stability, and security (CLASSic). The study compared domain-specific AI agents to general-purpose AI agents built on foundational models from OpenAI’s GPT-4o, Anthropic’s Claude 3.5 Sonnet, and Google’s Gemini 1.5 Pro. The comparison was based on real-world interactions across seven industries: IT, HR, Biotechnology, EdTech, FinTech, Healthcare, and Banking.
Join Michael Wornow and Vaishnav Garodia from Stanford University and Utkarsh Contractor, Field CTO at Aisera, as they explore how purpose-built AI agents outperform general-purpose models with superior, context-aware performance.
In this webinar, you’ll discover:
- The CLASSic framework for benchmarking AI agents
- How to evaluate AI agents and key insights from real-world results
- Strategies for selecting AI technologies that drive real business value
Presenters:

Michael Wornow
PhD. Student, Stanford University

Vaishnav Garodia
M.S. Computer Science, Stanford University

Utkarsh Contractor
Field CTO, Aisera