FinOpsX without tagging
See it live at FinOpsX 2026, no setup, no demo theater, just real data.
Shared Resources
Attributed To
Compute
GPU · TPU · CPU
$48k
/mo
/mo
AI / LLM
OpenAI · Anthropic · Bedrock
$83k
/mo
/mo
Network
Egress · NAT · Internet
$71k
/mo
/mo
Database
RDS · Cosmos · BigQuery
$53k
/mo
/mo
eBPF Engine
runtime cost attribution
Customer
per-tenant COGS
$58k
/mo
/mo
Team
research · platform · data
$55k
/team
/team
Feature
per-product cost
$38k
/feature
/feature
AI Workload
agents · tasks · experiments
$71k
/mo
/mo
- No tagging required, ever. Attribution comes from runtime behavior, not resource labels, not engineering hygiene sprints.
- Chargeback and showback that actually holds up. Shared resources allocated by real usage, not estimates. Explainable to engineers and CFOs.
- Customer COGS out of the box. See which tenants are profitable, which aren’t, and why, without building a data pipeline.
- AI spend attributed by workload, team, and customer. Not “AI costs $200k/month” — the breakdown that lets you act on it.
Trusted By
FinOps and engineering teams at companies running complex multi-tenant infrastructures
FinOps programs stall two ways: tagging debt and shared resource allocation.
Most tools need clean tags to produce clean data. Attribute reads runtime infrastructure behavior directly; using eBPF so attribution is automatic, shared resources are split by actual usage, and you’re not waiting on engineering to fix their labeling.
Come see it live at FinOpsX. Bring your messiest cost allocation problem. We’ll show you what it looks like with real data.