Your laptops, desktops, and phones already have spare compute. Murmur turns that idle capacity into elastic infrastructure for the heavy work — risk runs, model training, overnight batch — and only reaches for the cloud when it has to. Same elasticity. A fraction of the spend. Your code, your models, and the meaning of your data stay on your premises.
Every device on your network is also a small computer that's usually idle. Murmur turns that idle time into elastic infrastructure — on your premises, under your control, with a bill you can predict on day one.
Your laptops and desktops are already on your balance sheet. Murmur turns the hours they sit idle into production compute. Cloud is the automatic backstop — not the default.
Each device gets a math step and the raw numbers it operates on — stripped of labels, schemas, and model context. The numbers travel; what they mean doesn't. Compliant with GDPR, SEC 17a-4, and DORA by design, not by configuration.
Windows laptops, desktops, Android phones, iOS devices — mix and match. Murmur routes each task to the right chip on each machine and pulls back automatically when a device is busy or running hot.
A single license fee. No reserved-capacity contracts, no data-transfer charges, no metered surprises. Add workloads, train more models — the price doesn't change. Your CFO knows the number before the quarter starts.
Pushes out through the device-management tools your IT team already runs (Intune, Jamf, Omnissa). No new hardware, no network changes, no agent fighting for resources — just a background service that uses spare capacity during quiet hours.
Devices come and go — users close laptops, phones lose signal. Murmur reroutes work in real time, and if your fleet can't finish in time, the cloud fills the gap automatically. The deadline holds.
Submit your workload to Murmur. The platform breaks it into thousands of tiny math steps — the kind of operations any chip can run. Your algorithm stays on your server. The numbers go out stripped of labels, schemas, and anything else that says what they mean.
The scheduler hands those small steps to your devices based on what each one can do, how busy it is, and how warm it's running. Heavy linear algebra goes to GPUs; lighter math goes to the neural chips in modern phones and laptops.
Results come back to your server, where Murmur stitches them into the final answer. Same answer every time, on every platform — Windows, Android, iOS — matching to within rounding error.
Traditional cloud sends your algorithms and the meaning of your data offsite. Murmur sends each device a math operation and the raw numbers it operates on — stripped of labels, schemas, model context, and anything else that would say what those numbers mean. The numbers travel; the meaning doesn't.
Cloud takes your data offsite and bills you in ways you can't predict. Building your own datacenter gives you control but costs millions. Murmur gives you elasticity, full data sovereignty, and a flat price — on hardware already sitting on desks.
| Cloud | On-Prem | Murmur | |
|---|---|---|---|
| New hardware to buy | None | Racks, networking, cooling | None — uses devices you already own |
| Where your data lives | Provider's datacenter | Your datacenter | Your premises, by architecture |
| How you're billed | Usage, data transfer, and reserved-capacity contracts | Large upfront purchase plus ongoing maintenance | One flat, predictable license |
| Bill predictability | Unknown until month-end | Spread over years | Known before the quarter starts |
| Time to first workload | Days | Months | Hours, via your existing IT tools |
| Workloads it fits | Any | Any | Anything that splits into independent chunks |
The work that keeps the business running — risk runs, model training, overnight batch, reconciliations — is mostly the same handful of math operations repeated billions of times. Murmur runs all of it across the devices you already own, for one flat price. Every workload you add makes the platform more valuable.
Option pricing, portfolio stress tests, exposure and counterparty calculations. A full night's risk run, finished in seconds — on the laptops your team already uses.
End-of-day reconciliations, report generation, scheduled data transformations. The jobs that have to be done by 6am every weekday.
Video transcoding, image processing, audio conversion. Embarrassingly parallel work that splits naturally across many machines.
Train models across your fleet, then serve them on the same hardware. One pipeline from training to production — and your data, weights, and prompts never leave the building.
Quality checks, transformation jobs, regulatory reporting prep. High-volume work where the bottleneck is throughput, not logic.
Actuarial modeling, clinical-trial analysis, physics and engineering simulations. Compute-heavy work that splits cleanly across many machines.
Not lab simulations. Murmur has been put through production-scale risk workloads running on the same kinds of laptops and desktops your teams use every day.
We'll run a live workload on your devices — and show you elastic compute on your premises, under your control, at a price you already know.