Omnira™
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How it works

Any machine runs the job.
Nothing stays behind.

One change to where data goes. Your code and data stream in from storage you own, the job runs in memory, and results and logs go straight back. The machine is left with nothing.

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Your storage streams code and data to the machine, encrypted. The job runs, results go back, and nothing stays on the machine.

The short version.

One change to where data goes

Today the server keeps everything. With Omnira, nothing.

How a server works today

Computers were built with CPU, GPU and storage in one box.

  1. 1Software is installed on the server’s own disk.
  2. 2It loads into RAM to run, fast.
  3. 3The running service writes its data, logs and traces back to that disk.

Services leave traces on the machine they run on. Attackers go where the data lives.

22,000+confirmed data breaches in a single year of reportingSource: Verizon 2026 Data Breach Investigations Report

There is a better way. Welcome to Omnira.

With Omnira: traceless compute

The server computes. You keep the data.

  1. 1The job runs in memory, inside the Omnira Vault™. It never opens without your key.
  2. 2Code and data stream in, encrypted, from your own storage.
  3. 3Results and logs go straight back. No job data is left on the server.

Omnira is an operator-blind platform: the Omnira Hub coordinates jobs but never sees job data.

Simple idea. Big impact.

What traceless compute unlocks

Data sovereignty

Your code, data and logs stay in storage you own and choose.

Any machine

A service can run on any machine with a CPU and RAM, plus a GPU when it needs one.

Security

With no job data stored on the server, there is far less for an attacker to find.

Frictionless compute

Owners hold no one else’s data, so idle compute can be shared and sold per job.

Security

Attackers go where the data lives. Take the data away.

The same server, today and with Omnira, side by side. Open any row to see what it is, why it is a risk today, and how Omnira handles it.

Attack surface: today and with Omnira

Today

8 of 10 at risk · 2 may be at risk*

With Omnira

90% smaller attack surface: 9 of 10 elements removed or handled

  • Inbound listeners Today: At risk With Omnira: Removed

    What it is. Open network ports where software waits for incoming connections: web servers, databases, management agents.

    Today: Every open port is a door. Attackers scan the internet for them and break in through the software behind them.

    With Omnira: Omnira opens no network port on the server, so there is nothing on it for a scanner to find.

  • Remote administration Today: At risk With Omnira: Removed

    What it is. Ways for people to log in to the server: SSH, remote desktop, management consoles.

    Today: Logins are a favourite target: a stolen password or key gives an attacker the same control as an administrator.

    With Omnira: Running a job needs no login to the server. You publish to your hub and the hub sends the work, so no one needs an account on the machine to run your services.

  • Local artifacts Today: At risk With Omnira: Removed

    What it is. Software installed on the server’s disk: programs, packages, libraries and configuration files.

    Today: Installed software stays on the disk after the job, where anyone who reaches the machine can copy it, study it or change it.

    With Omnira: A service’s code streams into RAM, encrypted, and runs from there. Nothing is installed on the disk, so nothing is left behind when the job ends.

  • Persistent host identity Today: At risk With Omnira: Removed

    What it is. Long-lived secrets kept on the server: SSH keys, cloud credentials, service passwords and tokens.

    Today: Copied once, they keep working: an attacker can use them from anywhere, long after leaving the machine.

    With Omnira: No credential for your storage or your code is stored on the server’s disk. What a job needs is held in memory, for that job only.

  • Host logs Today: At risk With Omnira: Removed

    What it is. Records the server keeps of what ran, when, and what it touched.

    Today: Logs often hold names, addresses, queries and even data, and they stay on the disk long after the job.

    With Omnira: Your services’ logs go straight to your own storage. The server’s own system logs record no job data.

  • Disk snapshots Today: At risk With Omnira: Removed

    What it is. Copies of a server’s disks, taken for backup, recovery or migration.

    Today: A snapshot carries everything on the disk to wherever it is kept, often to more people and places than the server itself.

    With Omnira: The disk never holds job data, so its snapshots hold none.

  • Network in transit Today: May be at risk* With Omnira: Encrypted

    What it is. Data moving between the server, your storage and your users.

    Today: Traffic that is not encrypted can be read or changed on the way. Counted as half: it depends on how a network is set up.

    With Omnira: Everything between your storage, your hub and the server is encrypted, in both directions.

  • Control plane Today: At risk With Omnira: No job data

    What it is. The system that decides which machine runs which job and manages the machines. In Omnira, that is your hub.

    Today: A control plane that stores job data is one place to steal all of it from.

    With Omnira: Your hub places jobs and passes their traffic, but keeps no job data. In a sovereign Omnira, you run the hub yourself, on infrastructure you choose.

  • OS and firmware Today: At risk With Omnira: No data at rest

    What it is. The operating system and the low-level software that start and run the machine.

    Today: A compromised operating system sees everything stored on the disk.

    With Omnira: There is no job data on the disk for it to find: a job’s data exists only in memory, while the job runs.

  • Data in use Today: May be at risk* With Omnira: Operator-blind*

    What it is. Data in memory while a job runs. On any computer, data has to be in memory to be worked on.

    Today: Someone with full control of a machine can, with effort, read its memory. Counted as half: it depends on who controls the machine.

    With Omnira: In memory only for the length of the job, never on disk, and Omnira gives the machine’s owner no login, file or log that shows it. Memory-encrypting chips, which protect it even from someone with full control of the machine, are on our roadmap.

Ways data and IP can leak: today and with Omnira

Today

10 of 11 at risk · 1 may be at risk*

With Omnira

95.5% fewer ways to leak: 10 of 11 paths removed, and network traffic encrypted

  • Data at rest Today: At risk With Omnira: Removed

    What it is. Job data saved on the server’s disks.

    Today: Whatever is saved stays until someone deletes it, and anyone who reaches the disk can read it.

    With Omnira: No job data is written to the server’s disk. A job reads from and writes to your own storage.

  • Code and model weights on disk Today: At risk With Omnira: Removed

    What it is. Your proprietary code and trained model weights, copied onto the server so it can run them.

    Today: Once on a disk, your intellectual property can be copied in seconds and studied at leisure.

    With Omnira: Streamed into RAM, encrypted, from your own storage, and never written to the disk.

  • Crash dumps and swap Today: At risk With Omnira: Removed

    What it is. Memory the system writes to disk when a program crashes or memory runs short.

    Today: A crash dump or a swap file can hold a running job’s data and secrets, written to disk without anyone asking.

    With Omnira: Set up as Omnira asks, with no swap and crash dumps off for its runner, memory never spills to disk. The Traceless Compute Proof checks both on the machine it runs on.

  • Temp and cache files Today: At risk With Omnira: Removed

    What it is. Short-lived files that programs write while they work.

    Today: Temporary files are forgotten more often than deleted, and they can hold pieces of the data a job worked on.

    With Omnira: A service’s working folder and temporary files live in RAM and end with the job.

  • Host logs and telemetry Today: At risk With Omnira: Removed

    What it is. Records and metrics on the server about what ran and what it touched.

    Today: They stay on the disk, and are often shipped to more places than the job’s own data.

    With Omnira: Your services’ logs go straight to your own storage. The server’s own system logs record no job data.

  • Snapshots and backups Today: At risk With Omnira: Removed

    What it is. Copies of a server’s disks made for backup, recovery or migration.

    Today: Backups outlive the server, and are kept in more places than the server itself.

    With Omnira: The disk holds no job data, so its copies hold none.

  • Keys stored on the host Today: At risk With Omnira: Removed

    What it is. Encryption keys and credentials saved on the machine.

    Today: A key on a disk unlocks your data wherever the disk is taken.

    With Omnira: No key to your storage or your code is stored on the machine, so your data stays locked without your key.

  • Retired hardware Today: At risk With Omnira: Removed

    What it is. Old disks that are resold, recycled, returned or lost.

    Today: Deleted data can often be recovered from a disk that leaves the building.

    With Omnira: Retired disks never held job data, so they leak none.

  • Operator access to stored data Today: At risk With Omnira: Removed

    What it is. Staff of the server’s owner, or of its cloud, reading data on its disks.

    Today: Whoever runs a machine can read what is stored on it.

    With Omnira: The disks hold no job data to read, and Omnira gives the machine’s owner no login, file or log that shows a job.

  • Legal demands on stored data Today: At risk With Omnira: Removed

    What it is. Orders to hand over data held on a server, sent to whoever owns or runs it.

    Today: Data stored on someone else’s machine can be handed over without you knowing.

    With Omnira: The server holds no job data to hand over: your data is in your own storage, with you.

  • Network interception Today: May be at risk* With Omnira: Encrypted

    What it is. Data read while it moves between the server and your storage.

    Today: Traffic that is not encrypted can be read on the way. Counted as half: it depends on how a network is set up.

    With Omnira: Encrypted in both directions, between your storage, your hub and the server.

* May be at risk, depending on setup. Counted as half. Data in use is the one element that stays: a job needs its data in memory while it runs, so it can never be removed. With Omnira it is in memory only for the job and never on disk; memory-encrypting chips, which protect it even from someone with full control of the machine, are on our roadmap. 22,000+ confirmed data breaches in one year (Verizon 2026 Data Breach Investigations Report). Each row, with the evidence behind it

Trade-off: debugging

Debug in development. Run traceless in production.

What changes

Production machines are sealed.

Traceless compute is operator-blind by design. Engineers work with logs and results, rather than logging in to a live machine to inspect a running job.

That is the same discipline strong security teams already ask for: production is for running tested code.

How it works best

  1. Build and debug in developmentFull access, test data and familiar tools, on non-production machines.
  2. Ship tested codeThe same build runs in production, sealed in the Omnira Vault™.
  3. Observe through logsLogs and results stream, encrypted, to your own storage for audit and debugging.
  4. Reproduce in developmentReplay an issue with the logged inputs, fix it, and ship again.

Tested code in, sealed execution, full logs out: this is how production should run.

Performance

Compute can run anywhere. Distance sets the round trip.

Pick how far your compute sits from your data to see what works as is — and the simple fix when it matters.

Round trip

under 2 ms

Impact: None

Works as is

Everything, including databases and live APIs

With mitigation

Ready as is

Round trip

about 9 ms

Impact: Low

Works as is

Web apps, APIs, AI inference, analytics

With mitigation

Trading and real-time control: same zone

Round trip

about 67 ms

Impact: Moderate

Works as is

Batch, training, rendering, software builds, reports

With mitigation

Interactive apps: keep hot data in RAM, group requests

Round trip

about 78 ms

Impact: Moderate

Works as is

Batch, overnight analytics, training

With mitigation

Interactive apps: keep hot data in RAM, group requests

Round trip

about 174 ms

Impact: Noticeable

Works as is

Batch jobs that read data once

With mitigation

Interactive apps: run compute in-country

Round trip

about 224 ms

Impact: Noticeable

Works as is

Batch jobs that read data once

With mitigation

Interactive apps: run compute in-country

Sources: Azure network round-trip latency statistics (medians, July 2026); Azure availability zones (under 2 ms between zones). A local SSD read: about 0.1 ms.

From one customer’s storage in VirginiaRound trip to compute in each place. Each customer chooses where its storage lives.
  1. West US67 ms
  2. London78 ms
  3. São Paulo117 ms
  4. Tokyo162 ms
  5. UAE174 ms
  6. India198 ms
  7. Sydney201 ms
  8. Johannesburg219 ms
  9. Singapore224 ms
  • Under 10 ms: almost everything works
  • 60–80 ms: batch works; cache interactive apps
  • 100+ ms: batch works; interactive runs in-country

Source: Azure network round-trip latency statistics (medians for the 30 days to July 30, 2026).

Once data is in RAM, there is no difference.

Distance only touches the edges of a job: loading in and saving out. Once data is in RAM, traceless compute uses the same hardware, just like any server.

A normal server

  1. LoadFrom the local disk.
  2. Compute in RAMCPU and GPU work on data in memory.
  3. SaveBack to the local disk. Data stays behind.

Traceless compute

  1. LoadFrom your storage.
  2. Compute in RAMThe same CPU, GPU and memory as any server.
  3. SaveBack to your storage. Nothing stays behind.

More on latency, when you need it.

Applications, grouped by the latency they need.

68%

Delay-tolerant: seconds to hours

Batch, background jobs, reports and AI training. Share of Azure VM core-hours, 2017 study.

Runs at any distance

Source: Microsoft Research, Resource Central

28%

Interactive: about 100 ms a request

Web apps and APIs. Share of Azure VM core-hours. People notice delay past 0.1 s.

Runs in-country, or with caching

Source: Microsoft Research; Nielsen Norman Group

Niche

Real-time: under 1 ms

Trading engines and machine control, a small part of interactive work.

Runs in the same data center

AI spans the groups: training is delay-tolerant, and inference (about two-thirds of AI compute in 2026) is moving toward batch and agent jobs. The remaining ~4% of core-hours were unclassified. AI compute split: Deloitte TMT Predictions 2026.

Most jobs work as is. The rest have simple fixes.

Works as is

  • AI trainingBatch jobs, so they tolerate latency.
  • AI inferenceThe model sits in RAM; each request runs in memory.
  • Batch, analytics, builds, renderingRead once, compute, write the results.
  • Apps and APIs in the same regionEach trip to storage stays under 10 ms.

When latency matters

  • Run compute near the dataSame or nearby region: under 10 ms.
  • Keep hot data in RAMLoad models, reference data and caches once.
  • Group requestsSend many records in each request.
  • Keep busy databases closeRun Omnira compute in the same data center as a busy database.

20 storage calls in a row across the Atlantic

One at a timeabout 1.6 s
Batched into one callabout 80 ms
Nearbyunder 40 ms

Who it’s for

One compute layer, weighted differently for each buyer.

SovereigntySmaller attack surfaceIdle capacity put to workMarketplace revenueon our roadmapChoice of where to run
Enterprises Core valueCore valueCore valueSupportingCore value
Governments Core valueCore valueCore valueNot a focusSupporting
Data center owners Core valueCore valueCore valueCore valueSupporting
Hyperscalers Core valueSupportingSupportingSupportingCore value
Frontier AI labs Core valueCore valueCore valueSupportingCore value
Marketplace SupportingSupportingCore valueCore valueSupporting
  • Core value
  • Supporting
  • Not a focus

Selling spare capacity per job on a marketplace is on our roadmap.

Questions

What engineers ask.

Is it fast enough?

For most work, yes. Batch jobs, AI training, analytics and builds work at any distance; web apps and APIs work in the same country, or with caching. Once data is in memory, a job runs exactly as it would on any server.

Can our engineers still debug?

Yes, in development, with full access and familiar tools. Production machines are sealed: engineers work with the logs and results that stream to your own storage, reproduce an issue in development, and ship the fix.

Can we run all of Omnira ourselves?

Yes. Sovereign Omnira is your own private hub, on your own machine or in your own cloud account — or air-gapped, arranged with our team.

Is traceless compute patented?

It is patent pending: 13 U.S. and international filings, with priority from September 23, 2024.

See it run on a machine you have.

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