Root.{X}.line

CPS R.X.L — 15×15 cm node that builds a digital copy of space. Creates event chronologies, tracks trails, detects intersections and reconstructs past movements from sensor logs — even without cameras.

The architecture builds a full spatial event model without using cameras, video, or photos. It reconstructs object movements and interactions from sensor data only, forms cause-and-effect chains, and detects potential incident patterns in advance. The system is already running in prototype mode with live spatial visualization and chronology. The multiport for external sensor databases is currently in development. No commercial sales yet — advanced prototype stage.

Primary segments:

Police and law enforcement agencies
Special services and security forces
Government and municipal safety programs
Critical infrastructure operators

Secondary segments:

Private security companies working with state contracts
Industrial and transport facilities with high security requirements

The system is positioned for organizations that need to reconstruct events and prevent incidents without relying on continuous video surveillance. Key demand comes from government and special services that require discreet, camera-free spatial intelligence and the ability to restore past events from existing sensor data.

Most existing monitoring systems rely on cameras and video analytics. This creates blind spots where cameras are absent, raises privacy concerns, and provides only fragmented logs instead of a clear understanding of how events unfold and connect. As a result, organizations struggle to reconstruct past incidents accurately and to detect emerging risks before they escalate.

We built a compact autonomous node that reconstructs spatial events and object movements without cameras or video. The system creates event chronologies, establishes cause-and-effect chains between actions, and identifies patterns that help prevent incidents. It works with existing sensor data and can restore what happened even in areas that were never under video surveillance.

Main alternatives: traditional video surveillance systems (CCTV + VMS), AI video analytics platforms (Verkada, BriefCam, etc.), and digital twin / sensor monitoring solutions.

These systems either depend heavily on cameras or provide only raw logs and statistics without reconstructing full event chronologies and cause-effect chains in space.

- Works without cameras, video or photos
- Reconstructs object movements and events from ordinary sensor data
- Builds cause-and-effect chains and spatial chronologies
- Can restore what happened in areas that never had video surveillance
- Compact autonomous form factor (15×15 cm) suitable for discreet deployment
- Focus on incident prevention and post-event reconstruction for security forces

Revenue streams:

Direct sales of single prototype units to special services and pilot government programs
Government and institutional contracts
Custom deployment and integration for security agencies
Software licenses and closed analytical modules
Later — scaled hardware supply under state and corporate contracts

Cost structure:

Low-volume / piece-by-piece production of prototypes
Software development and security hardening
Certification and compliance for government use
Direct sales and technical support for institutional clients

Business model:

Direct B2G and B2B sales of hardware nodes + software licenses. Initial focus on single-unit prototype deliveries to special services and pilot government programs, followed by larger institutional contracts.
Channels:

Direct outreach to security agencies, participation in closed/government tenders, partnerships with system integrators working with law enforcement.
Key metrics:

Number of deployed prototype units, number of pilot projects with agencies, conversion from pilot to full contract, retention of institutional clients.

Further development of the existing prototype (multiport module and system refinement), low-volume production of units for pilot projects , security certification and compliance procedures, software hardening, and support of initial pilot deployments.

We are seeking strategic investment to accelerate the commercialization of Root{X}line as a foundational infrastructure layer for autonomous robotic systems.

Investment will support:

• Infrastructure scaling and pilot integrations
• Expansion of the core development team
• IP protection and architectural reinforcement
• Market entry and strategic industry partnerships

In return, we offer equity participation in a deep-tech infrastructure company positioned to become a structural identity layer for the emerging autonomous robotics ecosystem.

Root{X}line is not an application — it is a foundational layer with long-term infrastructure potential.

- Typical time required for institutional decision-making
- Standard certification procedures for security-related equipment
- Need to adapt to different types of existing sensors (the system is designed for easy integration)
- Gradual scaling of production from prototype to serial units

Overall risk level is moderate and manageable. The compact form factor and simple deployment significantly reduce implementation complexity.

In the process.