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// SOLUTIONS

Built For The Next Generation
Of Embedded Systems

Solaros EOS is an event-driven state machine framework for embedded systems that have to react in real time, remain predictable under load, and keep running for years. Robotics, industrial automation, medical devices, automotive, energy and infrastructure, and Edge AI. Solaros EOS is the next evolution of the RTOS for hard real-time embedded systems.

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// CONTROL

Modern systems mean more events to handle, states to manage, real-time decisions to make, and tighter limits on power, memory and cost. Solaros EOS dispatches each event straight to the state that handles it, by priority, run to completion. Code runs only when an event occurs, so behaviour stays predictable as the system grows.

// BY SECTOR

Ready For The Systems Of The Future

Systems now are more autonomous, more connected and more intelligent. And the hard problems underneath - coordinating events, states and timed events in real time - are more complex than ever. Solaros EOS is built to solve them.

Robotics

Autonomous mobile robots, robotic arms, inspection and service robots, drones.

// CHALLENGE

A robot juggles navigation, sensor fusion, motion control, fault handling, charging and safety behaviours at once - hundreds of interacting states and decision pathways.

// WHERE SOLAROS FITS

Each behaviour is modelled as its own virtual state machine and scheduled by event. Complex autonomy stays readable, deterministic and efficient, instead of buried in task threads and custom logic.

  • Path planning and obstacle response as discrete states
  • Sensor fusion feeding event-driven decisions
  • Fault, charging and safe-state handling
  • Local inference triggering reliable control

Industrial Automation

Machine controllers, PLC-class control, actuators, production-line coordination, safety systems.

// CHALLENGE

Industrial systems coordinate sensors, actuators, safety events, machine states and production logic - and they have to stay deterministic across long deployment lifecycles.

// WHERE SOLAROS FITS

Event-driven processing keeps response times predictable while cutting architectural overhead. Behaviour is captured as state machines that are straightforward to maintain years after delivery.

  • Deterministic machine and actuator control
  • Safety-critical priority event handling.
  • Production-state and sequence coordination
  • Incremental feature delivery across long lifecycles

Medical Devices

Infusion and delivery devices, diagnostic and monitoring equipment, handheld and wearable instruments.

// CHALLENGE

Regulated, safety-critical devices need behaviour that is traceable, validated and unambiguous - from first specification through to the evidence a certification needs.

// WHERE SOLAROS FITS

Behaviour is bounded and explicit, and every requirement carries a unique identifier into generated code and tests. The traceability and evidence build up as you go, not reconstructed before an audit.

  • Traceable firmware for regulated devices
  • Validated state behaviour for safety-critical functions
  • Evidence aligned to ISO, IEC and medical frameworks
  • Controlled, predictable execution on small MCUs

Automotive

ECUs, body and comfort control, sensor and actuator modules, sub-system controllers.

// CHALLENGE

Vehicle software is safety-critical, runs across long platform lifecycles, and has to stay predictable as features are added over time.

// WHERE SOLAROS FITS

Deterministic, event-driven control with a small, controlled footprint. State machines keep behaviour clear across evolving platforms, and traceability supports the assurance these systems demand.

  • Real-time control for safety-critical functions
  • Sub-10us interrupt latency for time-sensitive events
  • Predictable behaviour across platform variants
  • Built to last and evolve over the vehicle lifecycle

Energy & Infrastructure

Battery energy storage, EV charging, solar and grid-interface controllers, protection and monitoring.

// CHALLENGE

Energy installations need predictable control across battery states, charging, discharging, grid interaction, protection events and maintenance modes - in mission-critical, long-lived environments.

// WHERE SOLAROS FITS

Deterministic event handling makes state transitions reliable and responsive, while the small footprint suits controllers that run for years in the field.

  • Battery charge, discharge and balancing states
  • Grid-interaction and protection-event handling
  • EV charging control and safety states
  • Resilient operation over long deployment lifecycles

Edge AI

Smart sensors, vision and audio devices, autonomous and connected products running local inference.

// CHALLENGE

Edge-AI devices combine local inference, sensor events and deterministic control - and they have to do it on constrained, low-power hardware without leaning on the cloud.

// WHERE SOLAROS FITS

Solaros EOS coordinates inference, sensor events and control on one device. AI outputs become event-driven state transitions that run reliably and efficiently, with deterministic behaviour around the model.

  • Inference outputs driving deterministic state changes
  • Local sensor-event processing without cloud dependency
  • Efficient execution on constrained, low-power MCUs
  • Autonomous decision pathways on the device
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