CloudVerse

CloudVerse presents itself as a control plane for enterprise technology spend, covering AI, cloud, data, engineering (Torv, shift-left cost checks in CI/CD and Kubernetes cost attribution), and SaaS usage. Its products include Agentry for AI spend and execution-path governance, DataX for warehouse spend intelligence, a FinOps platform for multi-cloud cost intelligence, and Torv for shift-left engineering cost checks. The page states that read-only is the default, automation is opt-in, scoped, and logged, and that Agentry is in private pilot. It describes a 3-week private pilot, a 14-day AI spend audit request, and deployment into a customer's cloud tenancy or on-premises. A customer case study cites a telecommunications group with 129 applications mapped and $548K of managed cloud spend, with compliance alignment to SOC 2, ISO 27001, and GDPR. Figures on the page are described as illustrative or anonymized.

Key features

• Unified ledger for AI, cloud, data, engineering, and SaaS spend with team, workload, and decision attribution
• Agentry: discovery of AI agents and models across clouds, SaaS, frameworks, and Kubernetes, including shadow AI
• Agentry: budget reservation and settlement per call, policy and human-approval gates, model routing and failover, and a kill switch
• Agentry: execution ledger recording calls, routing decisions, tokens, and costs, with per-workload prompt capture policy (full, redacted, or metadata only)
• DataX: warehouse and pipeline spend explained by query and workload behavior
• Multi-cloud cost intelligence covering allocation, anomalies, chargeback, and commitments across AWS, Azure, Google Cloud, and other providers
• Torv: cost signals inside pull requests before merge
• Kubernetes cost attribution to service, team, and owner
• SaaS usage and ownership visibility across business units (rolling out)
• Integrations with cloud providers, LLM providers, data warehouses such as Snowflake, and CI tooling, with read-only default
• Compliance alignment with SOC 2, ISO 27001, and GDPR as stated on the page

Best suited for

• AI engineering teams governing and optimizing AI spend
• Data teams seeking warehouse cost attribution
• FinOps teams taking cloud cost ownership at scale
• Platform engineering teams moving cost checks into CI/CD
• Enterprises needing controls, support, and deployment inside their own boundary

Pricing

Not stated on the website