Executive Summary

Modern military tactics in disputed border zones, dense jungles, and high-altitude terrains require precise navigation without reliance on external networks. Traditional GPS systems are vulnerable to signal jamming, spoofing, and satellite downtime.
 

To address these vulnerabilities, Sallybase engineered Sallybase Atlas—a tactical, off-grid spatial computing and navigation framework built specifically for the Indian Armed Forces. Operating completely independent of cellular networks, commercial GPS, or cloud compute, Sallybase Atlas gives infantry and armored units high-precision, low-latency spatial awareness in denied environments.

1. Problem Statement & Challenges

Operating across diverse, extreme operational theaters—from the high-altitude, mountainous terrain of Ladakh to dense forest networks in the Northeast—presents severe navigational obstacles:

GPS Jamming & Electronic Warfare (EW): Opposing forces frequently employ signal degraders, GPS spoofing, and RF jamming to disable standard guidance hardware.

Zero Connectivity (Denied Environments): High-mountain passes and subterranean or jungle areas lack cellular data, satcom relay capabilities, or real-time atmospheric correction networks.

Power & Thermal Constraints: Tactical handheld units and tactical radios must run on minimal power reserves without overheating under continuous operational load.

Heavy Payload vs. Precision: High-resolution 3D GIS terrain datasets historically required server-grade hardware, making real-time multi-layered rendering impossible on ruggedized field devices.

2. Solution Architecture: Sallybase Atlas

Sallybase Atlas was designed ground-up as an edge-first spatial engine that combines vector mapping, dead-reckoning fusion, local AI-driven terrain analysis, and mesh network telemetry into a secure, military-grade handheld unit.

Key Technological Pillars

Zero-Trust Offline GIS Engine

Pre-compresses multi-gigabyte vector terrain maps, elevation models (DEM), and satellite imagery into custom lightweight vector tiles (.sallymesh format).

Fully functional with complete air-gap isolation—zero phone-home requests or cloud handshakes.
 

Sensor Fusion & Inertial Navigation System (INS)

Merges multi-constellation satellite signals (when available, including India's NAVIC) with internal MEMS accelerometers, gyroscopes, magnetometers, and barometric altimeters.
 

Leverages Extended Kalman Filtering (EKF) to maintain precise sub-meter dead-reckoning trajectory even during complete satellite blackout.

Peer-to-Peer Tactical Mesh Networking

Uses low-power, encrypted radio mesh protocols (LoRa/UHF/VHF) to share real-time unit positions, waypoint markers, and thermal hazards across squad members off-grid.

Dynamic node discovery: If one unit regains positioning data, the corrected spatial drift is automatically propagated across the local squad mesh.
 

Edge AI Terrain Pathfinding

Calculates slope-adjusted travel times using Tobler’s Hiking Function merged with real-time terrain resistance models (mud, snow depth, canopy cover).
 

Generates optimal tactical routes considering line-of-sight concealment, elevation effort, and potential threat zones.
 

3. Technical Implementation & Specs

4. Key Results & Operational Impact

Following initial field trials and deployment across tactical combat teams:

100% Operational Uptime in EW Environments: Successfully completed stealth patrol missions in heavy signal-jamming scenarios where standard GPS handhelds failed entirely.
 

45% Faster Route Planning: Field commanders executed tactical waypoint routing and squad rendezvous calculations in seconds rather than relying on manual paper-map overlays.
 

Zero Spatial Telemetry Leakage: Complete air-gapped security ensured zero radio-frequency signature or unintended emissions that could compromise team positions.
 

Squad Synchronization: Enabled real-time friendly force tracking across a 15-kilometer mesh network without satellite or cell tower dependency.
 

5. Strategic Value

Sallybase Atlas delivers a vital defense capability aligned with India's Aatmanirbhar Bharat (Self-Reliant India) initiative by removing reliance on foreign navigation hardware and cloud services. By merging edge computing, robust spatial algorithms, and mesh hardware integration, Sallybase transformed off-grid tactical navigation into an operative operational advantage.