CloudKeeper Recognized as AI & Cloud Optimization Leader in SaaS at the Inaugural SaaSTech Summit & Awards 2026
New Delhi – CloudKeeper, a leading cloud cost optimization and FinOps solutions provider, has been honored with the AI & Cloud Optimization Leader in SaaS award at the SaaSTech Summit & Awards 2026, organized by UBS Forums and held at The Ritz-Carlton, Bengaluru.
The recognition highlights CloudKeeper’s leadership in AI-powered cloud optimization and its ability to help SaaS organizations achieve cost efficiency, improve cloud performance, and build scalable cloud operations. The award acknowledges the company’s continued innovation in cloud intelligence and optimization, as well as the measurable impact it delivers for customers navigating increasingly complex cloud and AI environments.
The SaaSTech Summit & Awards 2026 brought together more than 200 SaaS leaders, CTOs, founders, engineering heads, and technology experts to discuss the future of AI-powered SaaS platforms, cloud-native architectures, Platform Engineering, and FinOps. The event served as a platform for industry leaders to exchange insights on building scalable products, managing cloud costs, and leveraging emerging technologies such as autonomous and agentic AI.
Commenting on the recognition, Gaurav Barman, CRO (India), CloudKeeper, said:
“We are honored to be named the AI & Cloud Optimization Leader in SaaS. It reflects the impact we’re creating for customers through AI-powered cloud optimization and our continued focus on helping organizations improve efficiency, reduce cloud waste, and achieve measurable outcomes from their cloud investments. We’re grateful to our customers, partners, and team members.”
The recognition reflects CloudKeeper’s continued innovation in AI-powered cloud optimization. Recent milestones include the launch of CloudKeeper LensGPT, an agentic AI-powered FinOps intelligence platform, alongside expanded AI capabilities through its Anthropic authorization, and AWS AI Services Competency. CloudKeeper also helps organizations optimize AI infrastructure and model costs through its FinOps for AI offerings.
