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For B2B SaaS and technology companies, the cloud is the product. As they scale, multi-tenant architectures—where multiple customers share the same databases and compute resources— make it incredibly difficult to attribute costs, measure true margins, and control runaway spend.
Shared infrastructure across customers makes it incredibly difficult to decipher the true Cost of Goods Sold (COGS) at the customer or product level.
Leadership desperately needs to know the exact cloud cost to support "Customer A" versus "Customer B" to inform pricing and gross margins, but extracting this data requires complex engineering queries.
Tech companies suffer from the "FinOps Gap": they have dashboards that show them they are wasting money on unattached IPs, idle databases, and over-provisioned clusters, but they lack the engineering resources to actually fix it.
Developers are focused on building features, not writing clean-up scripts, so the waste accumulates month after month.
Wiv.ai is built specifically to bridge the FinOps gap for modern technology companies and to deliver crystal-clear unit economics.
Wiv.ai ingests telemetry and cloud billing data to allocate shared resource costs, allowing product managers and CFOs to ask Wivy, "What is our AWS cost per active user for the enterprise tier this month?" and get an instant, accurate answer.
FinOps teams can use the no-code builder to create rules like, "If an Elastic IP is unattached for 48 hours, release it," or "If a staging database has 0 connections for 3 days, snapshot and terminate it."
This completely removes the burden from the DevOps and engineering teams, allowing cost optimization to happen autonomously in the background.
Accurately distribute shared database and Kubernetes cluster costs down to the individual customer or product feature level.
Automatically delete unattached volumes, release idle IPs, and downsize underutilized EC2 instances without opening Jira tickets for developers.
Link real-time cloud spend to SaaS revenue metrics to constantly monitor and protect profit margins.
Enforce strict "Time-to-Live" (TTL) policies on developer sandboxes, automatically terminating them at the end of the workweek.
Wiv.ai automatically allocates shared multi-tenant infrastructure costs—databases, compute clusters, and more—down to the individual customer level, giving leadership the exact COGS data they need to inform pricing and gross margin decisions.
Wiv.ai’s no-code builder enables FinOps teams to create automated remediation rules that delete unattached volumes, release idle IPs, and terminate unused resources without requiring developer involvement.
Wiv.ai links real-time cloud spend to SaaS revenue metrics, enabling companies to constantly monitor the cost per active user and protect profit margins as they scale.
See how Wiv.ai helps technology companies automate FinOps and protect margins.
