CloudZero
CloudZero is a cloud and AI cost-intelligence/FinOps company whose platform connects cloud and AI spend to business outcomes such as customers, products, features, teams, transactions, and P&L. Its stated goal is to help cloud-driven organizations innovate efficiently and improve unit economics.
At a Glance
- Cloud-first software companies
- Technology and SaaS businesses
- Enterprise engineering organizations
- FinOps, finance, FP&A, and controller teams
- +2 more
AI Tools by CloudZero
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CloudZero
Cloud and AI Cost Intelligence
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Latest News
CloudZero launched AI Signals, including Overview and Monitors, to attribute AI spend by provider, model, person, team, and work activity in real time.
CloudZero released a survey report finding that 78% of finance executives cannot fully tie AI spending to business outcomes.
CloudZero launched its financial control plane for AI, connecting real-time AI spend to customers, products, features, and other outcomes.
CloudZero launched a Claude Code Plugin to put AI-native cost intelligence inside engineering workflows.
Products & Services
Subscription cloud and AI cost-intelligence platform that ingests spend and usage, allocates it across business dimensions, and supports unit economics, forecasting, anomaly detection, and optimization.
Allocation engine that combines billing and telemetry data to allocate taggable and untaggable spend, including shared resources, multi-tenant architectures, and Kubernetes.
Ingestion framework and common data model for bringing cloud, SaaS, AI-provider, and other cost sources into CloudZero, including sources without a native adapter.
Free tool for predicting and optimizing cloud-infrastructure costs.
Market Position
CloudZero positions itself as an engineering-led cloud and AI cost-intelligence platform rather than a bill-reporting tool: it emphasizes allocation of 100% of operational spend, including shared and untagged resources, and ties costs to customers, products, features, and unit economics. Comparable alternatives include IBM Apptio Cloudability, Broadcom CloudHealth, Harness Cloud Cost Management, IBM Kubecost, Finout, and Vantage; CloudZero differentiates around granular business-context allocation and AI outcome attribution.
Leadership
Founders
Erik Peterson
CloudZero co-founder and CTO/CISO; a software-startup veteran and AWS/cloud practitioner. Before CloudZero he held technology-strategy/office-of-the-CTO roles at Veracode and had been building cloud software for more than a decade.
Matt Manger
CloudZero co-founder and operations leader. He and Peterson met while working at Veracode; his prior background includes Veracode, Endeca, and Toast.
Executive Team
Phil Pergola
Chief Executive Officer
B2B software executive who has led growth and customer-lifecycle outcomes across acquisition, onboarding, adoption, expansion, and retention; became CEO in 2021.
Erik Peterson
Co-founder and Chief Technology Officer / Chief Information Security Officer
Software-startup veteran, AWS Ambassador, frequent speaker on FinOps, cloud economics, DevOps, and security, and a long-time cloud-software builder.
Board of Directors
Founding Story
Peterson and Manger identified a large, growing, underserved problem in cloud operations and reliability while at Veracode. They initially described the category as Serverless Reliability Management, built an open-source AWS Reactor and an invite-only SaaS beta, and then focused the company on helping teams understand and act on the cost and reliability consequences of engineering decisions.
Business Model
Revenue Model
B2B SaaS subscription for the CloudZero platform, sold through custom quotes and a tiered pricing model. CloudZero says pricing is predictable and does not vary month to month with spend spikes; customers also receive FinOps-account-manager support.
Pricing Tiers
Tiered pricing; includes notifications and workflow integrations and MCP integration.
Target Markets
- Cloud-first software companies
- Technology and SaaS businesses
- Enterprise engineering organizations
- FinOps, finance, FP&A, and controller teams
- CTOs, VPs of Engineering, DevOps, and platform teams
- Organizations operating AI, Kubernetes, multi-cloud, or multi-tenant workloads
- FinOps and engineering-led cloud-cost optimization
- AI spend governance and AI ROI measurement
- Cost per customer, product, feature, transaction, model, or token
- Cloud budget forecasting and anomaly response
- Kubernetes and multi-tenant cost allocation
- Chargeback/showback across teams and business units
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