Integration Pathways

A positioning layer built to connect.

NsideSignal is defining partner-led integration pathways that connect Last-Meter Positioning with existing devices, sensor stacks, maps and operational platforms.

Up to 0.5 m Accuracy*Edge & CloudRoboticsEnterprise APIs

Why It Matters

Integration should extend an existing product—not force partners to rebuild it.

The target architecture is a flexible spatial layer that can combine available observations and return useful X, Y and Z context with confidence information. Final interfaces, device support and deployment architecture are defined through technical evaluation with each partner.

Inputs

Signal & sensor fusion

Potential inputs include permitted Wi-Fi and Bluetooth observations, inertial sensors, barometric data, device motion and partner-provided spatial context.

Outputs

Location with context

Integration outputs may include horizontal position, floor or vertical context, movement state, confidence values and transition events.

Deployment

Device, edge or cloud

Evaluate on-device, edge, cloud and hybrid processing according to latency, privacy, power and operational requirements.

Platforms

Mobile and embedded

Technical discovery can cover iOS, Android, Linux, embedded systems and robotics environments such as ROS 2.

Continuity

GPS-to-indoor handoff

Connect outdoor navigation to indoor, underground, obstructed and multi-level environments without breaking the user or machine journey.

Governance

Partner-defined controls

Define permissions, retention, telemetry, model updates and system boundaries before pilot deployment.

Technical Conversation

Evaluate NsideSignal against a real operating environment.

Share the environment, endpoints, performance target and integration context. Detailed technical information can be discussed with qualified partners under an appropriate NDA.