Densify

Densify, founded in 1999 as Cirba Inc. by Andrew Hillier, Riyaz Somani, and Jayanti Parmar, operates as a specialized software company providing advanced analytics for cloud infrastructure optimization. The company rebranded to Densify in June 2017 to better reflect its focus on public cloud optimization. Gerry Smith, who has a background in mechanical engineering and an MBA, joined as CEO in 2005 after a successful tenure at Compuware and as CEO of Changepoint Corporation, which he grew significantly before its acquisition. Andrew Hillier, currently the CTO, remains one of the active co-founders.

The company's core business revolves around a software-as-a-service (SaaS) platform that utilizes AI-driven, predictive analytics to optimize cloud and Kubernetes resources for enterprise clients. It caters to FinOps teams, Site Reliability Engineers (SREs), and platform owners in large enterprises, helping them manage and reduce cloud expenditures without compromising application performance. Densify’s revenue is generated through this service, which offers a continuous optimization model by combining machine-learning analytics with expert advisory services to deliver tangible cost savings. The platform analyzes workload patterns and resource utilization across major public clouds like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform, as well as hybrid environments.

Densify's product provides actionable recommendations for resource allocation, aiming to eliminate waste and mitigate performance risks such as memory issues and node saturation. Its analytics engine identifies the most suitable cloud instance and resource settings for every workload, considering technical and policy constraints. A key feature is its ability to integrate with Infrastructure as Code (IaC) tools and CI/CD pipelines, automating the implementation of optimization recommendations. This allows for continuous, automated adjustments to resource configurations for containers, pods, nodes, and entire clusters. The platform also provides detailed justification for its recommendations, fostering trust between engineering and finance teams. By making applications self-aware of their precise resource needs, Densify helps organizations achieve significant and immediate cost reductions, with some clients reporting savings of up to 80%.

Keywords: cloud optimization, Kubernetes resource management, FinOps, cloud cost management, container optimization, predictive analytics, resource allocation, infrastructure as code, cloud spend, hybrid cloud, AWS optimization, Azure optimization, GCP optimization, AI-driven analytics, SRE tools, platform engineering, workload management, cost reduction, performance stability, automated resource management