FinOps for engineering teams
Finance sees a total. Engineers see nothing. Pyrenis connects to AWS, GCP, Azure, and Kubernetes, allocates 100% of spend to the teams that create it, and catches anomalies in hours instead of at month end.
Read-only billing access. First data in under 24 hours.
This month, all clouds
Anomaly · started 6h ago
NAT gateway spend up 340% in us-east-1
est. +$1,900/day · owner: platform-networking
| Service | MTD | MoM |
|---|---|---|
| Compute | $228,410 | +2.1% |
| Storage | $61,240 | -1.4% |
| Data transfer | $47,900 | +18.6% |
~32%
of cloud spend goes to idle, oversized, or orphaned resources, according to industry surveys.
3 weeks
typical gap between a cost spike starting and someone spotting it on the monthly invoice.
#2
where cloud sits on the expense list at most software companies. Right after payroll.
Product
Cloud bills are written for accountants, in the provider's vocabulary. Pyrenis rewrites them in yours: teams, services, features, customers.
Allocation rules map accounts, tags, namespaces, and labels to teams. Shared costs, Kubernetes clusters, NAT, support fees, get split by actual usage. No "unallocated" bucket quietly holding 40% of the bill.
Detection runs as billing and usage data lands, per service and per region. A misconfigured NAT gateway costs $1,900 a day. The difference between hearing about it Tuesday and hearing about it on the invoice is real money.
Rightsizing and commitment recommendations come with projected dollars, not vibes. Plus unit economics that hold up in a board deck: cost per customer, per 1k requests, gross margin per feature.
How it works
No agents on your production workloads. No write access, ever. Three steps.
A read-only IAM role for the AWS CUR, the GCP billing export in BigQuery, Azure cost exports. Optional lightweight agent for Kubernetes usage. About 15 minutes per cloud.
Start from your tags and account structure, then layer rules for everything tags miss: shared clusters split by namespace, data transfer by source service. Coverage climbs to 100% and stays there.
Anomalies page the owning team within hours. Every week, rightsizing and commitment coverage recommendations land in Slack or email, each with projected savings and a clear next step.
Pricing
Everyone at the company should be able to see what their systems cost. Seats are unlimited on every plan.
$0
up to $25k/mo cloud spend
$999/mo
up to $500k/mo cloud spend
Custom
for spend above $500k/mo
FAQ
The ones we get most from VPs of Engineering and CFOs. Anything else, email us.
No, and we'd deserve the skepticism if it were. Dashboards show you totals you already had. Pyrenis is an allocation engine plus an alerting system: it assigns every dollar to an owner, pages that owner when spend breaks pattern, and sends recommendations with projected savings attached. Success is measured in dollars removed from the bill, not charts viewed.
We ingest billing and usage metadata only: line items, resource identifiers, tags, utilization metrics. Never your application data, never your code. Access is read only with no write scopes anywhere. Data is encrypted in transit and at rest, single tenant available on Enterprise, and we delete everything within 30 days if you leave.
Yes. Messy tags are the normal case, not the exception. Most companies start around 60% tag coverage. Allocation rules handle the rest: account-level defaults, namespace mapping for Kubernetes, usage-weighted splits for shared services. You get to 100% allocated without a six-month tagging crusade first.
Creating a read-only role and pointing us at your billing exports. About 15 minutes per cloud, and your first allocated data shows up within 24 hours. The Kubernetes agent is optional and takes one Helm install.
That is the scale we built for. The allocation engine is designed around multi-payer AWS organizations, hundreds of accounts and projects, and billing files with tens of millions of line items a day. If your bill is big enough that nobody reads it, you are exactly who we want to talk to.
Early access
If your cloud bill is between $50k and $5M a month and nobody can say what last Tuesday cost, we should talk. Early partners get direct access to the founders and a real say in the roadmap.