Causely Pairs Its Causal Reasoning Engine with Gemini for Automated Service Reliability

Causely, the only AI SRE using a structured causal graph to enable deterministic automation, now leverages Google’s Gemini models to enhance how users interact with its Causal Reasoning Engine and is available today on Google Cloud Marketplace. Together, Causely’s causal inference and Gemini's language-to-query and summarization capabilities help teams proactively resolve issues and keep SLOs on track.

“Bringing Causely to Google Cloud Marketplace will help customers quickly deploy, manage, and grow the Causal Reasoning Engine on Google Cloud's trusted, global infrastructure," said Dai Vu, Managing Director, Marketplace & ISV GTM Programs at Google Cloud.

Causely’s reasoning engine models how distributed systems behave, identifying the cause of reliability risks, their impacts, and the actions required to assure performance. With Google’s Gemini models, Causely automatically generates clear, context-rich explanations and remediation guidance that help teams act with speed and confidence.

“Our causal engine determines why services experience increased latency and error rates. Google’s Gemini models help communicate what to do next, translating our causal inference into actionable, automated guidance. We’re eliminating the need for incident war rooms and enabling proactive reliability,” said Yotam Yemini, CEO of Causely.

Two new features leverage Gemini models within Causely:

• Ask Causely: A chat interface for using Causely's inferencing engine to understand the cause of increased service latency and error rates and the corresponding blast radius.
• Enhanced Root Cause Descriptions: Causely prompts Gemini models with the metrics, symptoms, events, and logs associated with each root cause, allowing it to summarize the issue and expand Causely’s remediation with detailed, context-specific guidance.

Causely customers have reported up to 75 percent faster recovery and 25 percent fewer incidents, improving uptime and productivity. While optimized for Google Cloud, Causely remains multi-cloud and model-agnostic, operating across public clouds and on-prem environments and integrating with a range of large language models.

About Causely

Causely is an AI startup dedicated to transforming Site Reliability Engineering through innovative automation, causal reasoning, and developer-centric tools. Their solutions help organizations manage complex distributed systems more efficiently and reliably.

View source version on businesswire.com: https://www.businesswire.com/news/home/20251029667702/en/

With Google’s Gemini models, Causely automatically generates clear, context-rich explanations and remediation guidance that help teams act with speed and confidence.