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Safety technologies for homes, facilities, and infrastructure.

Roze AI supplies fire-detection and disaster-prevention solutions and is pursuing additional products and services through research and development. Development initiatives should not be interpreted as current revenue streams.

Residential · Consumer

So.S Home™ — sound-field safety sensing.

So.S Home is described as using sound-field analysis and AI for configured space-safety applications. Supported events, coverage and response depend on installation, environment and validation.

  • Coverage and response subject to configuration and testing
  • Not a substitute for required code-compliant detection systems unless separately certified and approved
  • AI platform analysis distinguishes real hazards from noise
  • Supported event detection depends on the device configuration, installation and environmental conditions
So.S Home™ in depth →
Enterprise · Infrastructure

RozetaTwin™ — digital twin integrated disaster prevention.

RozeAI describes digital-twin and predictive-maintenance capabilities in its public materials. Current deployments and commercial scope require project-specific confirmation.

A digital model for facility safety planning.

The platform supports evacuation guidance using available sensor data, digital-twin simulations and configured response scenarios.

  • The system is designed to help reduce false alarms by cross-checking sensor and video data, subject to configuration and operating conditions.
  • The platform supports evacuation guidance using available sensor data, digital-twin simulations and configured response scenarios.
  • Roze AI offers a range of wired and wireless fire-monitoring solutions. Supported sensing functions and certifications vary by product model and system configuration.
Digital twin systems in depth →
Case study · Defense

Republic of Korea Air Force

The Air Force project was selected in 2020, with implementation milestones described in public materials. Current installation scope and expansion status should be confirmed before publication.

Outcome
Project objectives include response support, fire-spread analysis and integrated facility workflows. Outcomes and damage reduction require project-specific evidence.
Case study · Energy

Thermal Power Plant Fire Protection

A four-year program (2020–2024) is described in public materials as involving IIoT and digital-twin technology. Scope, outcomes and current deployment status require confirmation.

Outcome
Machine-learning risk-prediction models by space, facility, and fuel; a composite fire index for major plant sections; and early detection of fire-risk anomalies from equipment-load telemetry.

Legacy fire response vs. the digital twin system

Conventional system RozetaTwin™ integrated system
Wired analog detectors sense heat or smoke, sound an alarm, and trigger sprinklers. Roze AI offers a range of wired and wireless fire-monitoring solutions. Supported sensing functions and certifications vary by product model and system configuration.
Electrical and gas systems managed separately; device data can be checked but not acted on. Configured monitoring and response coordination; automatic control claims require project-specific evidence and approvals.
No customized response scenario — the same alarm for every situation. The deployment supports integrated monitoring, response coordination and evacuation guidance. Any measured operational outcomes should be reported only with documented methodology and customer approval.
Commercial · Industrial

Intelligent wired & wireless fire detection.

Roze AI offers a range of wired and wireless fire-monitoring solutions. Supported sensing functions and certifications vary by product model and system configuration.

  • Supported sensing functions and certifications vary by product model and system configuration.
  • Wireless configurations are designed to reduce rewiring requirements in retrofit environments. Installation timing depends on the building, system design and applicable approvals.
  • Certification and procurement scope require supporting records.
  • Detector, repeater and receiver configurations vary by system design and installation.
Fire detection in depth →
Point solutions

Stopping fires at their most common source.

So.S Electric and Adviser are described as product concepts and development initiatives. Commercial availability and supported functions require verification.

So.S Electric™ · TOAD

AI electrical safety sensor

Designed to identify short circuits and arc faults by detecting current differentials. Installation scope, performance, and deployment status require confirmation.

Safety devices in depth →
Under development · Adviser concept

Proposed AI safety-device concept

Adviser is a proposed safety-device concept under development. Its intended functions and commercial availability have not been confirmed.

Safety devices in depth →
Where we deploy

Fitted to the environments that need it most.

Explore configurations by sector on our Industries page.

Defense

Military facilities

Air Force-related project activity is described in public materials; current installations and outcomes require confirmation.

Energy

Energy-sector development

Public materials describe military-base and thermal-power project activity; scope and dates should follow approved customer case studies.

Commercial

Buildings & campuses

High-rises, complexes and apartment blocks may use composite risk analytics; product name and deployment scope require confirmation.

Residential

Homes

So.S Home uses sound-field analysis to monitor changes in the acoustic environment. Coverage, response time and supported event detection depend on the device configuration, installation and environmental conditions.

Plan a deployment.

Tell us about your facility and our solutions team will design the right configuration.

Contact our team →