Hyperglance is a self-hosted FinOps and cloud management platform that connects cloud cost with ownership, architecture, and risk.

Bring AWS, Azure, Google Cloud, and Kubernetes into one view, investigate where spend is coming from, find optimization opportunities, and get the context needed to decide what can safely change.

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Product or Service Overview

Cloud cost data can tell you where money is going. It doesn’t always tell you what a resource supports, who owns it, or whether changing it is safe.

Hyperglance brings that context together.

Built for FinOps, cloud, platform, and security teams, Hyperglance connects cost and usage data with live cloud inventory, ownership, architecture, security, and compliance information across AWS, Azure, Google Cloud, and Kubernetes.

Use Hyperglance to:

• Explore multi-cloud spend by account, subscription, service, region, tag, Cost Center, and other business or cloud dimensions
• Organize spend into Cost Centers that reflect how finance, engineering, and the wider business need to understand cloud costs
• Investigate the resources behind a cost, cost change, or unexpected spike
• Spot cost trends and anomalies, and create alerts when spend needs attention
• Track fixed and rolling budgets across cloud environments
• Find unused, underused, and oversized resources
• Identify commitment opportunities with Savings Plan recommendations
• Review ownership, dependencies, utilization, and architecture context before acting on optimization recommendations
• Analyze tagged and untagged spend, and investigate gaps in allocation
• Work with standardized cloud billing data through FOCUS and AWS CUR 2.0 support
• Create scheduled billing reports for showback, chargeback, and stakeholder reporting
• Search and export a live inventory across AWS, Azure, Google Cloud, and Kubernetes
• Automatically generate interactive architecture diagrams and explore resource dependencies
• Check cloud resources against configurable cost, security, and compliance policies
• Route issues and actions through integrations including ServiceNow, Jira, Slack, Teams, and OpenOps
• Automate selected remediation and governance workflows using configurable rules

Use AI To Work With Your Cloud Data

Hyperglance supports Model Context Protocol (MCP), allowing compatible AI tools to connect directly to the platform.

That means teams can use natural-language requests to work with Hyperglance data and capabilities, including:

• Investigating cloud costs, resources, and relationships
• Querying cloud environments
• Building dashboards and views
• Exploring optimization opportunities
• Pulling together cost, ownership, architecture, and risk context
• Using Hyperglance capabilities through an AI assistant

AI sits on top of the same underlying cloud data and context available in Hyperglance. It helps teams get from a question to the relevant information faster, while keeping engineering judgment in the loop.

Self-Hosted By Design

Hyperglance is deployed inside your own cloud or infrastructure rather than operated as a SaaS service.

That gives teams more control over deployment, networking, data handling, access, and outbound connectivity, which can be particularly important in government, defense, financial services, healthcare, and other regulated or security-sensitive environments.

Hyperglance connects agentlessly and supports AWS, AWS GovCloud, Azure, Azure Government, Google Cloud, Kubernetes, EKS, AKS, GKE, and OpenShift.

REST API access, SAML SSO, FOCUS and CUR 2.0 support, and MCP connectivity help teams fit Hyperglance into wider cloud, FinOps, reporting, and automation workflows.