Amnic

Amnic is a cloud intelligence platform designed to help organizations optimize their cloud costs, eliminate waste, and improve tagging and governance. The company's mission is to assimilate cloud infrastructure data and guide organizations through their journey from information to intelligence. Their platform provides 360-degree observability into cloud costs, allowing users to gain visibility at a network, billing, and resource level.

Amnic's platform offers a comprehensive suite of tools, including cost analysis, anomaly detection, reporting, and recommendations. These tools help teams identify and address cost inefficiencies, proactively manage cloud spending, and make data-driven decisions to optimize their cloud infrastructure. Amnic's focus on Kubernetes optimization is particularly notable, offering features like a GenAI-powered Kubernetes co-pilot and cost breakdown by Kubernetes resource. The company has a strong track record of success with various clients, including Nanonets, Lambdatest, Metamap, and JIFFY.ai.

Amnic does not offer information regarding job flexibility on their website or in their job postings.

Amnic is a cloud intelligence platform that helps organizations optimize their cloud costs, eliminate waste, improve tagging and governance, and operate within cloud policies. Their mission is to assimilate cloud infrastructure data and guide organizations through their journey from information to intelligence, ultimately helping them stay ahead of their cloud by eliminating surprises.

Amnic promotes a culture of collaboration and transparency, bringing together engineering, operations, and finance teams to identify and solve cloud cost challenges. The company emphasizes a data-driven approach, utilizing its platform to provide actionable insights and recommendations for cost optimization, while fostering a culture of cost accountability and continuous improvement. Amnic actively participates in industry events and showcases its expertise through its Amnic Cast podcast and blog, further contributing to the collective knowledge and advancement of the cloud cost observability space.