Mavvrik is the cost governance platform for the AI era. It unifies and governs spend across cloud, on-prem, AI, SaaS, and hybrid environments, ensuring cost data is accurate, actionable, and accountable as infrastructure becomes more complex.

As organizations adopt GenAI, agentic systems, and GPU-intensive workloads, costs are increasingly created across models, agents, data platforms, and shared infrastructure that traditional cloud cost tools were not built to govern. Mavvrik addresses this gap with precise allocation, cost-to-serve analysis, consumption-based chargeback, and margin visibility across cloud, on-prem, and private AI environments.

Purpose-built for enterprises, AI builders, and managed service providers, Mavvrik supports teams that need granular cost attribution, automated billing, and visibility across customers, products, and business units. The platform is easy to deploy, simple to embed, and channel-friendly — with a multi-tenant, multi-tier architecture, white-label capabilities, and a deployment model designed for rapid time to value.

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Product or Service Overview

Key Use Cases include:

AI Cost Governance Full-stack visibility and governance across GenAI services, agentic workloads, LLM APIs, and GPU infrastructure — purpose-built for the AI era.

Cost-to-Serve Attribute infrastructure and AI costs to specific products, customers, or business units with the granularity needed for margin analysis and pricing decisions.

Cost-to-Outcomes Connect spend to business outcomes — linking AI and infrastructure costs to revenue, efficiency, or performance metrics that matter to the business.

Hybrid Cloud Cost Management Unified cost visibility across cloud, on-prem, and private AI environments, without forcing everything into a public-cloud-only model.

Data Center Cost Management Allocate and govern costs across on-prem and co-located data center infrastructure, including compute, storage, and network resources shared across teams or tenants.

GPU Chargeback Automated chargeback and showback for GPU clusters, shared infrastructure, and data center resources used across teams or customers.

Kubernetes Cost Management Granular allocation of Kubernetes costs to namespaces, workloads, teams, and tenants — including in hybrid and on-prem clusters.

Tier 2 Azure Extend Azure cost visibility and governance to Tier 2 resellers and managed service providers, closing gaps in native Azure tooling.