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The next step in global navigation

Software defined.
Device agnostic.
AI first.
: ML-Enhanced
Inertial Navigation
Plot2x combines inertial sensors with Digital Terrain Elevation Data and other location data to deliver a geolocation output that is a result of latitude and longitude prediction.
Device Sensor Data
  • Barometer, Magnetometer, Gyroscope and Accelerometer data is fused together for On Device AI model ingestion.
Ensemble of Models
  • Lightweight models optimized for out-of-the-box devices like Android.
  • Reduced compute and power requirements for extended offline operation.
Geospatial Inputs
  • Digital Terrain Elevation Data (DTED) from across the globe.
  • Location data from other non-GPS navigation sources.
Geolocation Output
  • Location prediction for military, public safety and other uses.
  • Resilient against jamming, spoofing and environmental interference.
Operational Advantages
  • On-device processing with no external connectivity or power required.
  • No reliance on LiDAR or computer vision that require supplemental technology.
Discover

Engineered with $10M of R&D Battle-Tested with U.S. Allies

R&D
SBIR Phase II (Geolocation)
Leveraged AI and satellite imagery expertise to provide GPS-denied location services to TAK, a tactical system used by military units for mission planning and operations. TAK is heavily used by Air Force special operations teams who rely on GPS for critical functions like calling precision strikes and navigation. This addresses a key vulnerability since GPS can be jammed or denied by advanced adversaries.
SBIR Phase II (GPS-Denied Geolocation for Special Operators Networks)
Expanded the technology under Phase II to create on-device Alternative Position, Navigation, and Timing capability that works without GPS. Proprietary AI operates offline using phone sensors and satellite imagery, adapting from health system readiness to GPS-denied geolocation through beta technology with AFSOC and AFRL.
SBIR Phase II (sUAS)
Developed the capability to expand technology and sensor learning to small unmanned aerial systems (sUAS). This R&D fortified the resilience of Assured-PNT (A-PNT) in the increasingly GPS-contested environment.
SBIR Phase II - Wearables
Developed the capability to integrate sensor data from wearable devices, such as smartwatches, into its prototype (TRL6) ATAK mobile-based Assured-PNT (A-PNT) solution.
SBIR TACFI
Partnered with the Air Force Research Laboratory (AFRL), National Security Innovation Network (NSIN), and Air Force Special Operations Command to operationalize dismounted Alt PNT Solution. TRL 8 Reached.

Tested by U.S. Allies

2021
2023 - 2024
PNTAX 2023, 2024: 
White Sands Missile Range
  • 2023: Tested under intense jamming & spoofing.
  • 2024: Partnered on useability, design and accuracy with 82nd Airborne Division.
2024 - 2025
NAVFEST 2024: 
White Sands Missile Range
  • Further experimentation under active jamming.
  • Continued testing against GPS.
2024 - 2025
SOCOM TE 2024-2: Avon Park
2024 - 2025
SOCOM TE 2025-1/Arctic Warfare Experimentation (AWE)
  • Engagements with NORSOF
2024 - 2025
SOCOM TE 2025-1/Arctic Warfare Experimentation (AWE)
  • Engagements with SOFROF

pressing problems

Geopolitical conflict, inflation, and climate change are creating a new global volatility. The ability to get more from less is no longer a choice.