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Key people at Opas AI Inc.
Opas AI Inc. develops an artificial intelligence platform designed to automate root cause analysis within complex IT environments. The company's technology leverages machine learning to identify critical production issues by detecting anomalies and pinpointing the true underlying causes of system failures, thereby enhancing operational efficiency and reducing downtime.
Founded in 2017 by Gurashish Brar and Mohit Gupta, Opas AI emerged from a recognition that traditional IT troubleshooting often lacked the speed and precision required for modern infrastructure. Brar and Gupta aimed to create an intelligent system that could significantly streamline the diagnostic process, enabling faster resolution of technical challenges.
The platform assists organizations in maintaining robust and reliable IT systems, particularly those facing intricate operational challenges. Opas AI's vision centers on empowering enterprises to achieve proactive problem resolution through advanced automated diagnostics, ensuring continuous and stable performance of their critical technological infrastructure.
Opas AI Inc is an AI startup founded in 2017 that developed a Causation Engine using machine learning models like deep neural nets, random forests, and support vector machines to detect critical production issues in IT environments and identify their true root causes.[1][2] The company served IT operations teams by automating root cause analysis, reducing time-intensive manual processes, and enabling faster fault diagnosis across applications and infrastructure.[1][2] It achieved early growth as a subsidiary in Mountain View, CA, before being acquired by Rubrik, which integrated its technology to enhance proactive alerting, problem resolution, and IT management in cloud environments.[2]
Opas AI was founded in 2017 by Mohit Gupta and Gurashish Brar, both computer science graduates from the Indian Institute of Technology, Kharagpur (IIT).[2] With over 15 years of experience each building large-scale applications, infrastructure, and ML solutions at companies like AWS, Google, Microsoft, and Bloomreach, the founders assembled a talented team from top institutions (IIT, Stanford) and firms (Adobe, AppDynamics, Yahoo!).[2] The idea emerged from the need to eliminate manual root cause analysis in complex IT systems, gaining pivotal traction through its AI-based engine that modeled application behaviors.[1][2] A key milestone was its acquisition by Rubrik, announced in a company blog, where the full team joined to accelerate AI innovations in IT operations.[2]
Opas AI stood out in the AIOps space through these key strengths:
Opas AI rode the AIOps wave, addressing the explosion of IT complexity from cloud-native apps, microservices, and hybrid infrastructures where manual troubleshooting fails at scale.[2] Its timing aligned with surging demand for AI-driven observability post-2017, fueled by market forces like rising downtime costs (estimated at billions annually) and the shift to predictive analytics.[1][2] By automating root cause analysis, it influenced the ecosystem toward more resilient IT, paving the way for integrations in data protection platforms like Rubrik's, which now leverage its tech for enhanced availability, security breach detection, and cloud optimization.[2] This acquisition exemplifies how specialized AI startups amplify broader tools in the observability and cybersecurity landscapes.
Post-acquisition, Opas AI's technology is embedded in Rubrik, positioning it to evolve with AI advancements in IT resilience—expect expansions into predictive maintenance, anomaly detection, and zero-trust security amid growing edge computing and GenAI workloads.[2] Trends like multi-cloud proliferation and regulatory pressures on data uptime will propel its impact, potentially influencing Rubrik's roadmap toward fully autonomous operations. As AIOps matures, Opas AI's legacy could redefine fault tolerance, turning reactive IT into proactive intelligence and solidifying its foundational role in enterprise AI.
Key people at Opas AI Inc.
