Reduced attack surface
01
Carry fewer components into operation. Give your team less software to maintain and defend.
Neurulus PlatformBuild around
Build around
the work.
Protect essential operations, run useful computation where it is needed, and retain control over business data.
Core propertiesSecurity at the foundation.
Security at the foundation.
Capability for the work.
Least privilege
02
Limit each workload to the data, services and resources its job requires. Keep authority explicit as the operation grows.
Capable compute
03
Run essential services, task-specific models and demanding applications on resources selected for the work.
01 / The problem
An operation should not become an integration project.
New applications should help the business move forward. Each added service, model and device also brings exposure, resource demands and ongoing maintenance. Neurulus brings compute and the operating system together so those demands can be managed as one product.
- Reduced attack surface: less software to maintain and defend.
- Least privilege: access limited to the workload’s job.
- Compute selected for task, power and response constraints.
02 / The product
Compute + Silicon OS.
Neurulus Platform combines compute with Silicon OS in one integrated Linux system. Run useful workloads, limit their authority and keep system changes accountable, so new capability stays manageable for your team.
Inside Silicon OS03 / Adoption
Two starting points.
Begin with the workload and the environment in which it must run.
A new deployment.
Compute supplied with Silicon OS integrated. Choose the system around the task, its interfaces and its operating constraints.
Discuss new computeUseful hardware, retained.
Assess Silicon OS for suitable existing hardware. Adoption depends on workload fit, hardware support and required interfaces.
Assess an existing systemChoosing the starting point
What changes for your team.
| New deployment | Existing hardware | |
|---|---|---|
| The problem | Hardware and software arrive as separate decisions. | Useful hardware carries a system that needs to change. |
| The product | Compute with Silicon OS integrated. | Silicon OS where the hardware and workload fit. |
| Your outcome | One system selected around the work. | Retain useful resources with a smaller operating foundation. |
| Starting point | Workload, interfaces and operating constraints. | Workload and compatibility assessment. |
04 / Compute capability
Run the workload that moves the operation forward.
Run business services, process sensor or camera signals, and make private knowledge useful. Choose the applications and intelligence that deliver the required result, with compute sized for response time, power and deployment constraints.
| Work | Possible resource | Required result |
|---|---|---|
| Routine business process | Conventional software | A completed operation |
| Inspection or event detection | Task-specific vision | An event to act on |
| Private knowledge | A selected language model | An answer for the team |
05 / Sovereignty
Keep the dependencies in view.
Control reaches beyond where data is stored. It includes the platform, models, compute and energy that an operation depends on.
- Platform: what runs and who may act.
- Data: where information lives and is processed.
- Models: which intelligence the task needs.
- Compute: which resources the work receives.
- Energy: the physical cost of useful computation.
Silicon OS is shipping to select customers. The wider programme includes prior energy work. Custom chip design and tapeout remain future work.
From a problem to a useful resultWhat gets better
What gets better
for your operation.
Different workloads.
A practical result for the team.
01 Site events
Attention where it is needed.
The problem
Cameras and equipment produce more signals than a team can review. Operators need the relevant event and its context.
The outcome
Process relevant signals near the operation and bring useful events to the people who need to act.
02 Private knowledge
An answer your team can use.
The problem
Information is spread across internal sources. Finding an answer takes time, and the data needs to remain under the business’s control.
The outcome
Make internal knowledge useful with computation selected for the question and a deliberate boundary around the information.
03 Business services
The required process completes.
The problem
Services, dependencies and permissions accumulate as a business grows. Keeping routine work running becomes a job of its own.
The outcome
Run essential business services on one operating foundation, with access, resources and lifecycle considered together.
Illustrative operating scenarios.
Why nowThe demands
The demands
keep changing.
“We can now find flaws faster
than anyone can fix them.”
More software. More exposure.
Legacy systems, growing volumes of AI-generated code, automated attacks, data governance obligations and rising hardware costs.
Clearer control.
Useful answers, within the time available.
More work moves from batch processing to real-time agents, incident response and research with a limited response budget.
to the response.
Computation becomes infrastructure.
Cities, water, mobility and essential services place growing demands on distributed systems and the people who maintain them.
manageable at scale.
Start with a real workload.
Tell us what must run, the result it must deliver and the constraints around it.