AI & Cloud Cost Observabilitywithout tagging
Consumption-based attribution, for every Customer, AI Agent, Team, or any unit
Cloud costs finally makes sense for engineering and finance teams
Trusted By
You can't optimize what you can't see.
Attribute sees everything
Runtime cost allocation across cloud, AI and shared infra
Whether your spend lives in AWS, GCP, Azure, or third-party services like OpenAI, Anthropic, Snowflake, and MongoDB Atlas, your AI bills land as a single line item. You can’t see which customer hit your inference endpoint, which feature triggered a inference, or which model train burned the most GPU hours.
Attribute’s eBPF sensor reads runtime traffic regardless of provider, mapping every token call back to the team, customer, workload, or feature and every GPU-hour back to the job or experiment that consumed it.
Tagging isn't built for modern, shared, & AI infra, and will keep you blindsided
Tagging breaks on shared infrastructure
Shared clusters, databases, and queues have no single owner. Tags can't split what was never separable; only 43% of cloud costs are tracked at the unit level (Gartner, 2025) leaving the majority cloud spend to go unattributed.
AI and LLM costs are invisible
Customers, agents, and inbound traffic blur together, making it impossible to allocate without runtime visibility.
Networking costs cannot be traced
Egress charges, cross-AZ transfer, NAT gateways. The bill arrives but no tool identifies which workload caused it. You need to see traffic at the source.
Other tools tell you costs are up. Attribute explains why.
"Your EC2 cost is up 17% month over month."
A number without context. Now your team spends three days digging through tags, dashboards, and Slack threads to figure out why.
"ACME Corp's consumption is up $44K and token consumption is up 50M driven by the new auto-summary feature launched last month."
Usage tied to the business activity behind it. Finance gets the answer. Engineering gets back to building.
Attribute is built for modern cloud infra in the AI era
AI & LLM Cost Intelligence
AI costs are growing fast, and most teams can’t explain where the budget is going. Attribute gives you the full picture: which teams, products, and customers are driving your AI bill, broken down by model, provider, and workload. See the true TCO of every AI capability you ship, from inference costs to the compute and databases behind it.
Per Customer Cost
You can’t tag a customer. Tags track infrastructure. Customers move through it. Attribute uses deep packet inspection to observe incoming traffic and identify customer IDs, vendors, partners, and bots directly in the data stream
Finance and engineering get the true cost to serve each account. COGS per customer, margin by tier, and a clear view of which accounts are quietly draining your P&L.
| Customer | Tier | Cost |
|---|---|---|
| NetflixAI | Enterprise | $0 |
| UberAI | Pro | $0 |
| JP Morgan | Enterprise | $0 |
| WalmartAI | Pro | $0 |
| Starbucks | Starter | $0 |
Instant Showback / Chargeback
Attribute’s runtime consumption reports act as a single source of truth for engineering, finance, and leadership. By automatically allocating every cloud cost to the workload, service, and team responsible, every cost is mapped based on actual consumption.
- Team-level cost attribution across cloud and AI infrastructure
- Shared resource allocation by real usage
- Automatic showback and chargeback from day one
How It Works
Modern shared infra needs modern cost observability.
Shared GPU & LLM gateways, Databases, k8s cluster, and the black box of network traffic are not compatible with tagging; Attribute leverages eBPF (runtime network traffic analysis) to observe how every dollar mapped back to the customer, team, feature, or agent that triggered it.
A lightweight eBPF sensor deploys to your cluster. Immediate time to value with no code or configuration changes
Automatic cost allocation based on runtime consumption
Every dollar attributed to the customer, team, feature, or AI agent that drove it.
Testimonials
From cloud bill to customer cost
“Attribute turns our runtime data into clear business signals. They show us what each customer costs and what's driving those costs.”
Tag less. Know more.
“Attribute not only automated and simplified the allocation of our cloud costs, it revolutionized it. By eliminating the need to tag thousands of resources has freed up my team and we’ve invested our efforts in enhancing our platform significantly.”
AI pricing built on real margins, not guesswork
“Attribute gave us visibility into margins at the customer level for the first time. That changed how we price and how we sell. For the first time, finance and go-to-market are working from the same numbers, so we can price AI based on real margins, not assumptions.”
Start the conversation finance has been waiting for.
Install in 30 minutes. See per-customer, per-feature, per-team COGS by next week.
Our plans for the near future
