General Analysis Launches: Finding Failure Modes for AI Models

By
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February 9, 2026

General Analysis recently launched!

Launch YC: General Analysis: Finding Failure Modes for AI Models

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"Acquiring software products and replacing human teams with AI agents."

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TL;DR: General Analysis provides safety and performance reports for enterprise AI models, offering businesses clear insights into model vulnerabilities. Using a growing repository of automated red-teaming, jailbreaking, and interpretability techniques, they uncover and address critical failure modes.

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Founded by Rez Havaei‍

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Challenge

As AI systems become increasingly capable, their deployment in high-stakes environments poses significant risks—financial, ethical, and otherwise—where errors can lead to substantial consequences. They predict that a large percentage of the world’s cognitive tasks will soon be performed by AI systems across industries. However, this shift brings critical challenges:

  • Safety and performance efforts are not keeping pace with AI capabilities: Research and tools to evaluate AI systems have not kept up with the complexity and impact of modern models.
  • The field is fragmented: Approaches to AI safety and evaluation are scattered, lacking a unified framework.
  • Methods lack scalability and automation: Many current techniques are labor-intensive and fail to provide consistent, repeatable insights at scale.

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Their approach

To address these challenges, General Analysis offers access to a unified set of tools and methodologies designed to systematically find model failure modes and enhance model robustness.

  1. Providing Comprehensive Safety and Performance Reports: They deliver detailed reports to their customers, identifying novel failure modes in their models and providing actionable methods to mitigate them.
  2. A Living Knowledge Base: Their repository collects and refines evaluation techniques while keeping pace with emerging exploits and vulnerabilities. This ensures their tools remain effective and relevant across diverse industries and evolving AI applications.

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An example of their work: Eliciting legal hallucinations in GPT-4o

In their recent work, they show how GPT-4o is susceptible to hallucinating when asked about certain legal cases or concepts. The report, data and code are publicly available.

Image Credits: General Analysis

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They train an attacker model that causes GPT-4o to hallucinate on more than 35% of prompts on a diverse set of legal questions.

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Learn More

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🌐 Visit generalanalysis.com to learn more.

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📖 Read the full report here

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🤝 They are looking to connect with: Startups creating LLMs or AI Agents in different sectors (Customer Support, Legal Tech, Medicine, foundation models) for design partnerships & AI Safety, Interpretability, and Evaluation Researchers.
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📨 If you are interested in working with them or just want to chat please email the founders here.
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👣 Follow General Analysis on LinkedIn & X.

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