Offline Intelligence

Offline Intelligence on Rugged Hardware

On-device inference and processing on the hardware for tactical and mission-critical operations

What We Are Building and Why

AI That Works When the Network Does Not

We are building sovereign AI infrastructure for tactical edge operations.

Same binary runs on a law firm laptop, a hospital server, and an NVIDIA Jetson on a drone in contested airspace.

Legal proves the architecture works. Defense scales the revenue.

We are actively pursuing SBIR Phase I, DIU solicitations, and defense integrator partnerships.

Three Defense Pathways

United States

SBIR Phase I/II submissions (Q4 2026)

DIU commercial solicitations

Subcontractor to defense primes

India

iDEX challenge applications

DRDO lab partnerships (CAIR Bangalore)

Atmanirbhar procurement pathways

Allied Nations

NATO ETAI framework compliance

Gulf sovereign infrastructure projects

Export-friendly (no ITAR complications)

We are pursuing all three in parallel. Legal pilots fund the path.

Where It Operates

Four environments where connectivity ends and decisions cannot wait.

Contested Electromagnetic Spectrum

Broadband EW systems deny GPS, collapse satellite datalinks, and black out radio simultaneously. DRFM-based jammers make real signals indistinguishable from spoofed ones. Any AI routing inference through a network or cloud stops functioning. On-device inference running locally on NVIDIA Jetson Orin class hardware, or air-gapped platforms like JARVIS Defense, continues processing sensor data and generating course-of-action output regardless of spectrum conditions outside the vehicle.

Mountainous and High-Altitude Terrain

Terrain geometry blocks line-of-sight radio propagation before any adversary acts. Atmospheric effects degrade satellite links further. Forward units crossing ridge lines lose voice, data, and GNSS simultaneously. GPS-denied navigation systems like Shield AI Hivemind address positioning via visual-inertial odometry. That solves movement. It does not solve pattern-of-life analysis, threat recognition, or course-of-action evaluation. Those require on-device AI running on NVIDIA Jetson Orin class hardware, accumulating sensor data across full mission cycles without any network contact.

Maritime Beyond Line-of-Sight and Subsurface

Surface platforms beyond radio horizon lose datalinks to any shore-based processing. Below the surface, physics constrain communications to VLF and ELF transmission, which cannot carry sensor data or inference results at operational bandwidth. Extra-large unmanned undersea vehicles on multi-day autonomous missions use acoustic positioning systems like DARPA POSYDON for localization and run classification and target delineation inference entirely on-vehicle. AUKUS Transparent Sea and DIU CAMP programs both drive toward fully mission-autonomous operation across the complete depth and range envelope.

EMCON Operations and Subterranean Networks

Emissions control suppresses all radio frequency transmissions because adversaries geolocate positions from brief emissions and deliver fires within minutes. The same denial occurs passively underground: reinforced concrete and earth block GPS and radio entirely. In both environments, AI must function with zero uplink. Pre-loaded inference models evaluate incoming sensor data and generate recommendations without emitting a single packet. Air-gapped platforms like EdgeRunner Battle Buddy and DARPA SubT-derived autonomous systems equipped with LiDAR and millimeter-wave radar operate in exactly this mode. Autonomy is not a backup condition. It is the primary operational state from mission start.

Sovereign AI for Tactical Edge Operations

We are actively engaging with iDEX, DRDO, Defense Innovation Unit, NATO allied procurement teams, and Gulf defense authorities.