In safety and security-critical work, the foundation decides what can go wrong. Solaros EOS rules out whole classes of failure by design - not patched out later, designed out from the start.
Solaros EOS runs every process as a virtual state machine responding to events - one at a time, to completion. There's no dynamic memory and no pre-emptive processes, so heap corruption, leaks and data races can't occur, and behaviour stays deterministic and easy to audit.
Solaros is proprietary technology developed for professional and commercial deployments. Controlled development, managed releases and an accountable provider give regulated teams a foundation they can stand behind.
Owned and controlled in-house, not a community fork you have to account for.
A versioned codebase with controlled, managed updates and a clear roadmap.
A named, accountable provider behind the executables your product ships on.
Generated code is audited against MISRA C:2012 across the files it produces.
Output is reviewed and validated against the specification before delivery.
A controlled architecture keeps dependencies, releases and exposure tightly managed.
Across robotics, medical, automotive, energy and Edge AI, the same conditions raise the stakes - regulated work, multi-vendor delivery, high-security environments, and systems that have to last for years.
Medical, automotive and automation systems where behaviour has to be predictable and accountable. Deterministic execution and no dynamic memory remove whole classes of failure, and the evidence a certification needs builds up as you go.
A controlled, proprietary runtime every supplier builds on, behaving the same no matter who wrote the code around it - so accountability stays clear across vendors.
Controlled, auditable software for high-assurance and restricted environments - a small, proprietary codebase with an accountable provider, not an open supply chain you can't account for.
A small, deterministic core that behaves the same year after year, on a managed, versioned codebase - so teams can understand and safely change a system long after delivery.
Traceability in the Solaros Cloud Platform isn't a report written after the fact. Identifiers are built in as you go, so the link between intent and implementation holds through every change.
Every feature, use case and requirement is given a unique identifier the moment it is specified, before any code exists.
Generated code architecture is marked with those same identifiers, so each requirement ties to the code that implements it.
Test scenarios are drawn from the specification and stay linked to the requirements they came from, not inferred from the code.
When a requirement changes you can see exactly what it touches. The traceability matrix is produced as you build, not reconstructed before an audit.