Description
CloudVerse is a technology-spend control plane for enterprises, built to put every dollar of AI, cloud, data, engineering, and SaaS spend on one shared ledger, with each entry tied to the team, the workload, and the decision that caused it.
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Agentry, currently in private pilot, is CloudVerse's AI-specific module: it discovers AI agents and model calls running across an estate, including ones nobody registered, and enforces budget, identity, and routing policy in the execution path itself, before a request completes rather than after the invoice arrives. It can reroute a call to a cheaper model under policy, block an unregistered or spoofed caller, and fail over automatically if a model is deprecated or a provider goes down, with routing overhead CloudVerse states is under 15ms per request.
DataX covers warehouse and pipeline spend, explaining it by query and workload behavior rather than resource tags alone. The FinOps platform handles multi-cloud cost intelligence across AWS, Azure, Google Cloud, and other providers: allocation, anomaly detection, chargeback, and commitment management. Torv brings shift-left cost checks into engineering workflows, surfacing a cost signal on a pull request before it merges and attributing Kubernetes costs to a service, team, and owner.
CloudVerse can deploy inside a customer's own cloud tenancy or on-premises, with prompt capture configurable per workload (full, redacted, or metadata-only). It's read-only by default, with automation opt-in and logged, and connects to over a dozen named platforms including AWS, Azure, Google Cloud, Snowflake, Kubernetes, and model providers like OpenAI, Anthropic, and Google Gemini. A published case study describes a telecommunications customer mapping cost across a 100+ application estate, with $548K in cloud spend under management and $60.3K in identified savings.
CloudVerse is built for platform engineering, data, and FinOps teams at enterprises managing spend across multiple technology domains at once, rather than a single-cloud cost dashboard; new customers typically start with a scoped, multi-week private pilot or a 14-day AI spend audit before wider rollout.
- CategoryAI DevOps & Cloud Tools
- Pricing ModelContact sales
- DeploymentCloud, Private, Air-gapped
CloudVerse's Core Features
One ledger unifying AI, cloud, data, engineering, and SaaS spend by team and workload
Agentry: in-execution-path budget, identity, and routing enforcement for AI agent and model calls
Automatic model fallback and rerouting under measured sub-15ms overhead when a provider is unavailable
DataX: warehouse and pipeline spend explained by query and workload behavior
FinOps platform: multi-cloud allocation, anomaly detection, chargeback, and commitment management
Torv: shift-left cost checks inside pull requests before merge, plus Kubernetes cost attribution
Deployable inside a customer's own cloud tenancy or on-premises
Configurable prompt capture per workload: full, redacted, or metadata-only
100+ connectors including AWS, Azure, Google Cloud, Snowflake, and major model providers
How to use CloudVerse?
Start with an audit: request a 14-day AI spend audit or a 30-minute walkthrough on your own data.
Connect your stack: link cloud, model, GPU, warehouse, and CI providers without code changes.
Review the ledger: see spend attributed to team, workload, and the decision behind it.
Enable governance: turn on Agentry policy enforcement for AI agents and model calls in your execution path.
Act on savings: approve flagged rightsizing, commitment, or routing changes from the ledger.
CloudVerse's Use Cases
- AI spend governance
- Multi-cloud cost management
- Shift-left engineering cost checks
- Warehouse spend attribution
