Decentralized Telecom Mapping: An Analytical Evaluation of 375ai

Architecture: passive RF sensing

RF site surveys traditionally use costly diagnostic fleets and manual field sweeps, which are slow and quickly go stale. 375ai runs background telemetry on smartphone modems: it samples ambient RF locally, stripping MAC addresses, packet contents, and identifiers, and only anonymized vector metadata leaves the device, a few kilobytes per mapping interval.

+-------------------------------------------------------------+
|               Physical Ambient RF Infrastructure            |
|          (Wi-Fi access points, cell towers, BLE)            |
+-------------------------------------------------------------+
                               |
                               v
+-------------------------------------------------------------+
|                   375ai Mobile App Edge Node                |
|  - RF scans in sandboxed memory                             |
|  - On-device engine processes RSSI and cell IDs             |
|  - Strips MACs, packets, and identifiers                    |
+-------------------------------------------------------------+
                               |  (anonymized telemetry vectors)
                               v
+-------------------------------------------------------------+
|          Decentralized Aggregation Layer (Solana)           |
+-------------------------------------------------------------+
                               |
                               v
+-------------------------------------------------------------+
|                  Commercial Data Consumer                   |
|      (Logistics planners, municipalities, telcos)           |
+-------------------------------------------------------------+

It extracts received signal strength (RSSI) for Wi-Fi and cellular, cell-tower telemetry (MCC, MNC, LAC, CID), latency and signal-to-noise, and wireless congestion topology. It runs in the background, complementing mapping or acoustic apps on the same trip, and a pre-token points framework qualifies operators for a future airdrop. Anti-spoofing cross-checks GPS against accelerometer and gyroscope plus neighboring tower IDs, rejects pre-recorded or emulated telemetry by signal and handover analysis, and signs payloads on-device.

375ai's edge is agility: users already on these routes catch carrier degradation, new Wi-Fi buildouts, and dead zones within hours, where dedicated fleets scan a route every few quarters. Legacy providers keep the edge on consistency and SLAs, and 375ai can thin out in rural areas, so it is a real-time complement to traditional mapping.