RunLog AI
ProductPricingDocsBlog
About RunLog AI

Building the Future of AI Agent Safety

We're on a mission to make AI agents safe, reliable, and trustworthy for production use. Every step matters when the stakes are high.

Our Mission

As AI agents become more autonomous and powerful, the need for comprehensive observability and control becomes critical. We believe that every organization should be able to deploy AI agents with confidence, knowing exactly what they're doing and having the tools to prevent unsafe actions.

RunLog AI was born from our experience building and deploying AI systems at scale. We've seen firsthand the challenges of debugging agent failures, preventing costly mistakes, and ensuring compliance in production environments.

Our Vision
A world where AI agents operate safely and transparently, with full observability and control for their human operators.
Our Values
Safety first, transparency always, and innovation that empowers rather than replaces human judgment.

Meet Our Team

Experienced AI researchers and engineers dedicated to making AI agents safer and more reliable.

Sarah Chen
CEO & Co-founder

Former ML engineer at Google, passionate about AI safety and observability.

Marcus Rodriguez
CTO & Co-founder

Ex-OpenAI researcher with expertise in agent systems and policy enforcement.

Dr. Emily Watson
Head of AI Safety

PhD in AI Safety from Stanford, leading our policy and safety research.

Join Us in Building Safer AI
Whether you're looking to use our platform or join our team, we'd love to hear from you.
View Open Positions
RunLog AI

RunLog AI records every agent step, enforces policies before risky actions, and replays runs to fix issues—before users are impacted.

Product

  • Features
  • Pricing
  • Documentation
  • API Reference

Company

  • About
  • Blog
  • Careers
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  • Security
  • Status

© 2025 RunLog AI. All rights reserved.

Built with Next.js and Tailwind CSS