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Flip AI Launches Observability Intelligence Platform

Flip AI launched with its observability intelligence platform, Flip, powered by a large language model (LLM) that predicts incidents and generates root cause analyses in seconds.

“When enterprise software doesn't perform as intended, it directly impacts customer experience and revenue. Current observability tools present an overwhelming amount of data on application performance. Developers and operators spend hours, sometimes days, poring through data and debugging incidents,” said Corey Harrison, co-founder and CEO of Flip AI. “Our LLM does this heavy lifting in seconds and immediately reduces mean time to detect and remediate critical incidents. Enterprises are calling Flip the ‘holy grail’ of observability.”

“We see in our research that observability, particularly incident resolution, is still in its early stages and remains a significant pain point for enterprises of all sizes. In fact, we see that 36% of respondents indicate they are planning to implement in the next 12-24 months,” said Paul Nashawaty, principal analyst at Enterprise Strategy Group. “Flip AI brings a refreshing and novel approach that is poised to transform observability and generative AI, as a whole.”

Flip automates incident resolution processes, reducing the effort to minutes for enterprise development teams. Flip’s core tenet is the notion of serving as an intelligence layer across all observability and infrastructure data sources and rationalizing through any modality of data, no matter where and how it is stored. Flip sits on top of traditional observability solutions like Datadog, Splunk and New Relic; open source solutions like Prometheus, OpenSearch and Elastic; and object stores like Amazon S3, Azure Blob Storage and GCP Cloud Storage. Flip’s LLM can work on structured and unstructured data; operates on-premises, multi-cloud and hybrid; requires little to no training; ensures that an enterprise’s data stays private; and has a minimal compute footprint.

“Software vendors of all types use generative AI to guide users and enrich products,” said Kevin Petrie, vice president of research at Eckerson Group. “Flip AI takes things a step further by using a language model to derive insights from multiple observability tools and explain their implications to users. This approach can simplify the work of ITOps engineers and speed their time to issue resolution.”

Flip AI also announced $6.5 million in seed funding led by Factory. Morgan Stanley Next Level Fund and GTM Capital also participated. The company plans to use the money to continue to advance its product roadmap and LLM and to expand its team and operations.

"Flip AI is a world-class team with deep AI and enterprise experience. They are industry veterans when it comes to building next level customer experiences for enterprises. Their large language model, the first in the world for DevOps, is a breakthrough in generative AI and sets a new standard in observability for years to come," said Andy Jacques, CEO and managing partner at Factory.

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Flip AI Launches Observability Intelligence Platform

Flip AI launched with its observability intelligence platform, Flip, powered by a large language model (LLM) that predicts incidents and generates root cause analyses in seconds.

“When enterprise software doesn't perform as intended, it directly impacts customer experience and revenue. Current observability tools present an overwhelming amount of data on application performance. Developers and operators spend hours, sometimes days, poring through data and debugging incidents,” said Corey Harrison, co-founder and CEO of Flip AI. “Our LLM does this heavy lifting in seconds and immediately reduces mean time to detect and remediate critical incidents. Enterprises are calling Flip the ‘holy grail’ of observability.”

“We see in our research that observability, particularly incident resolution, is still in its early stages and remains a significant pain point for enterprises of all sizes. In fact, we see that 36% of respondents indicate they are planning to implement in the next 12-24 months,” said Paul Nashawaty, principal analyst at Enterprise Strategy Group. “Flip AI brings a refreshing and novel approach that is poised to transform observability and generative AI, as a whole.”

Flip automates incident resolution processes, reducing the effort to minutes for enterprise development teams. Flip’s core tenet is the notion of serving as an intelligence layer across all observability and infrastructure data sources and rationalizing through any modality of data, no matter where and how it is stored. Flip sits on top of traditional observability solutions like Datadog, Splunk and New Relic; open source solutions like Prometheus, OpenSearch and Elastic; and object stores like Amazon S3, Azure Blob Storage and GCP Cloud Storage. Flip’s LLM can work on structured and unstructured data; operates on-premises, multi-cloud and hybrid; requires little to no training; ensures that an enterprise’s data stays private; and has a minimal compute footprint.

“Software vendors of all types use generative AI to guide users and enrich products,” said Kevin Petrie, vice president of research at Eckerson Group. “Flip AI takes things a step further by using a language model to derive insights from multiple observability tools and explain their implications to users. This approach can simplify the work of ITOps engineers and speed their time to issue resolution.”

Flip AI also announced $6.5 million in seed funding led by Factory. Morgan Stanley Next Level Fund and GTM Capital also participated. The company plans to use the money to continue to advance its product roadmap and LLM and to expand its team and operations.

"Flip AI is a world-class team with deep AI and enterprise experience. They are industry veterans when it comes to building next level customer experiences for enterprises. Their large language model, the first in the world for DevOps, is a breakthrough in generative AI and sets a new standard in observability for years to come," said Andy Jacques, CEO and managing partner at Factory.

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IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...

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