Real assets, measured
GPUs, CPUs, storage, networks, power, cooling and water. Cyclops reads the resource managers and meters a datacenter already runs.
Physical AI fintech · Engineered in Switzerland
Fintech for physical AI infrastructure.
AI runs on physical assets: GPUs, servers, power and cooling. Cyclops Labs turns their use into revenue and their energy into reportable data. Datacenters use one platform to meter, rate and bill HPC, GPU, cloud and LLM usage, and to measure energy, PUE and emissions for ESG reporting.
Billed usageCHF 418k
- GPU-hours
- 96,400
- LLM tokens
- 2.1 bn
- PUE
- 1.32
- Renewables
- 68 %
Physical AI fintech
Financial infrastructure for the machines that run AI
AI is built on hardware that is expensive to buy, power and cool. Cyclops connects that hardware to billing and reporting systems. Each GPU-hour, token and kilowatt-hour is measured once and used for both the invoice and the ESG report.
AI workloads, accounted for
Training jobs, inference and LLM tokens on GPU clusters, supercomputers and sovereign clouds, with quantum platforms added as they come online.
Usage turned into money
Usage is rated, charged and invoiced with a full audit trail, so operators recover costs, earn revenue and report with figures that match their books.
Our solutions
Two solutions on one platform
Datacenter operators need to earn a return on their compute and to report the energy it uses. Cyclops does both from the same data.
Datacenter monetization
Bill every resource you sell
Meter, rate and bill HPC, GPU and cloud resources by the job, the hour or the token. Usage from each tenant and project becomes a clear invoice.
- GPU, CPU, storage, network, IP and firewall usage
- LLM token and quantum (QPU) metering
- Flexible rating plans, credits and budgets
- Slurm, HEAppE, OpenStack, OpenNebula and Kubernetes
- Proven at exascale: 100M+ resources tracked
Energy & ESG reporting
Report the energy behind it
Measure facility and IT energy, calculate PUE and other efficiency indicators, and produce the data needed for regulation, disclosure and certification.
- Continuous PUE, with partial PUE by hall or zone
- PUE, WUE, ERF and REF for EED Article 12
- Scope 1 and 2 emissions for CSRD
- Energy and emissions per tenant, job and token
- Evidence packs for LEED, BREEAM and the EU Code of Conduct
The challenge
Datacenters face pressure on revenue and on reporting
AI hardware has to earn back its cost, and operators must now report how much energy it uses. Most still handle both with spreadsheets, flat fees and manual meter readings.
Unbilled usage
Shared GPU and HPC capacity is often charged by flat fee or estimate. Heavy users pay too little and costs are not recovered.
New units of sale
Customers now buy GPU-hours, tokens and model access. Billing systems built for VMs and storage do not handle these units.
EED Article 12
Operators with 500 kW or more of IT power report energy and water KPIs to an EU database every year, by 15 May.
CSRD and certification
Emissions, energy mix and measured evidence are needed for CSRD, the EU Taxonomy, LEED, BREEAM and green finance.
One pipeline, two outputs
From meter reading to invoice and ESG report
Usage and energy data share the same collection and accounting stages, then split into billing and ESG reporting. Both outputs use the same numbers.
Why Cyclops
Built for the scale of modern compute
Arbitrarily scalable
A horizontally scalable billing stack that grows with your infrastructure — no ceiling, no rewrite.
Exascale-ready
Track hundreds of millions of real and virtual resources across a true exascale system without losing fidelity.
Flexible integration
Plugs into Slurm, HEAppE, OpenStack, OpenNebula, Kubernetes and bespoke frameworks alike.
Every asset, metered
GPU clusters, CPU cores, networking, storage, IP addresses, firewalls — if it can be used, it can be billed.
Future-optimal
Already extending to quantum computing platforms and token-based LLM accounting in sovereign datacenters.
Built on European research
Born of European collaborative research projects in supercomputing and cloud, and built for operators across Europe and beyond.
100M+
resources tracked
4
EED KPIs: PUE, WUE, ERF, REF
Exascale
proven scale target
engineered in Switzerland
Beyond classical HPC
Ready for the next era of compute
The same pipeline that meters a GPU cluster today is being integrated to monetize quantum computing platforms and to track LLM usage by the token in sovereign datacenters.
"See your compute clearly."
From classical cores to qubits, Cyclops turns the complexity of modern compute into something measurable, accountable, and genuinely approachable.
See supported technologies
Customers & partners
Bill your compute. Report its energy.
Talk to us about billing for your GPU, HPC or cloud resources, or start with a PUE assessment of your datacenter.