Flip AI is a software company that uses large language models (LLMs) to analyze and rationalize observability data, helping organizations rapidly diagnose and resolve critical software and system incidents. Their technology is designed to interpret all forms of observability data—including unstructured logs and metrics—enabling teams to restore system health quickly and efficiently.
The core of Flip AI’s solution is its AI-powered reasoning engine, which can sift through extensive incident data, identify patterns, and provide actionable insights without the need for manual correlation. This approach addresses a major pain point for modern software development and operations teams: making sense of vast, complex monitoring data during outages or performance issues.
How was Flip AI started?
Flip AI was founded by a team with extensive backgrounds in enterprise technology, artificial intelligence, cloud infrastructure, and large-scale operations:
- Corey Harrison: Co-Founder & CEO, with over 20 years in enterprise technology and operations, experience at KKR, White House, and an NFL background.
- Sunil Mallya: Co-Founder & CTO, former AWS leader in NLP services, holder of 28+ patents, and deep experience in AI/ML.
- Deap Ubhi: Co-Founder & CPO, previously Director of Product at AWS, with multiple startup exits and Pentagon/White House experience.
- Ravindra Manjunatha: Founding NLP Scientist, previously at Meta/WhatsApp and Amazon Comprehend.
- Nate Slater: Founding Architect, with 25+ years in global ML solutions, including nearly a decade at AWS.
- Pierre Dumas: Head of Platform, with a background in leadership at Apple, AWS, Pandora, Zynga, and Qualcomm.
This team brings together expertise from some of the world’s leading technology and cloud companies, focusing on making observability data actionable through AI.
Who uses Flip AI?
While specific customer names are not publicly listed, Flip AI’s platform is targeted at organizations that run complex software systems and require advanced observability solutions. This includes:
- Software development teams
- Site reliability engineers (SREs)
- DevOps and infrastructure teams
- Enterprises with mission-critical digital services
These groups benefit from faster incident resolution and clearer insights during high-stakes outages or performance degradations.
What makes Flip AI different?
Flip AI’s main differentiator is its use of advanced large language models to reason over both structured and unstructured observability data. Unlike traditional monitoring tools that focus on raw data collection and visualization, Flip AI aims to automatically correlate, interpret, and suggest steps to restore system health—reducing manual effort and accelerating recovery times.
Learn more about Flip AI and their leadership on their About page.
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