Developers
LATENT RUGGEDIZED TOOLKIT
Rugged edge AI for unmanned systems
Run and update AI for single or multiple drones anywhere, even off-grid.
OVerview
Adapt and deploy AI anywhere
Wear it or mount it—then use an Android device to customize, retrain, and deploy artificial intelligence, keeping systems mission-ready anywhere.
Built for off-grid operations, the Latent Ruggedized Toolkit (RTK) pairs military-grade hardware with edge AI powered by LEIP. Keep your unmanned systems operational to find and track targets, gather intelligence, and conduct search and reconnaissance operations, all while updating them in the field.
Available in preview today
Try Latent Ruggedized Toolkit (RTK), now available in a preview. Learn more and get a custom demo today!
WITH LATENT RTK YOU CAN
Click once to reliably track any object with autonomous drones
Follow any object—known or unknown—with a single click. Unlike traditional trackers that demand massive training data, lock onto an object type or class, or break easily when conditions shift, our system delivers robust, autonomous tracking that adapts in real time.
FEATURES
Patrol, hunt, detect, track, and act with adaptive, integrated edge autonomy
CAPABILITY
RTK-enabled adaptive autonomy
Unlock independent, mission-adaptive AI for drones and coordinated fleets in denied environments with tactical edge computing.
- Tailor AI to any setup by customizing machine learning models for diverse vehicles and objectives, including small Group 1 and Group 2 drones.
- Scale to multi-domain ops across land, sea, air, and space.
- Deliver fast intelligence by providing real-time intel from reconnaissance to engagement and damage assessment on low-power edge devices.
- Equip multi-sensor autonomy by enabling patrol, hunt, track, detect, and act with radar, infrared, and electro-optical modes.
- Free operators in the field by capturing mission data and updating AI in minutes for forward or dispersed units.
CAPABILITY
Edge-native, all-in-one solution
Deploy and activate AI directly on edge hardware—no cloud required—for seamless, integrated autonomy from the edge to the operator.
- Get all-in-one: ML tools, AI, and secure communications in a single ecosystem.
- No introduction of new devices is required; the solution utilizes NVIDIA Jetson in the drone vehicle or a wearable device, along with Android smartphone or ATAK, with the option to use a laptop.
- Share data/models across units; monitor performance in real time.
- Fine-tune/activate models on drone-embedded platforms (e.g., NVIDIA Jetson).
CAPABILITY
Effortless field updates to AI drones in minutes
Slash AI update times from weeks to minutes, keeping vehicles and drones mission-ready in real time.
- Cut AI fine-tuning time by 97%—deploy on single vehicles or distributed fleets in minutes instead of weeks.
- Streamline field data annotation and AI updates to minimize human effort.
- Rapidly label new objects (e.g., one-frame to full dataset) for on-the-go AI tuning.
- Update multiple deployed units using a reusable, flexible process that works locally or over a secure local network—for labeling data, training models, and rolling out updates.
- Auto-synchronize model and data repositories across RTK kits for version tracking and performance monitoring.
CAPABILITY
One-click mission tools
Free operators to focus on missions with one-click tools to find and track objects, gather intelligence, and conduct search and reconnaissance operations.
- Confidently free up operator attention for high-level objectives.
- Click once to reliably track any object autonomously.
- Fast fine-tuning with zero-shot auto-labeling.
- No-code AI update, training, and deployment.
- View real-time model performance and device status in one centralized platform.
- Compatible with any video source, allowing you to seamlessly switch between RTSP, HTTP, and others in seconds.
CAPABILITY
RTK-enabled adaptive autonomy
Unlock independent, mission-adaptive AI for drones and coordinated fleets in denied environments with tactical edge computing.
- Tailor AI to any setup by customizing machine learning models for diverse vehicles and objectives, including small Group 1 and Group 2 drones.
- Scale to multi-domain ops across land, sea, air, and space.
- Deliver fast intelligence by providing real-time intel from reconnaissance to engagement and damage assessment on low-power edge devices.
- Equip multi-sensor autonomy by enabling patrol, hunt, track, detect, and act with radar, infrared, and electro-optical modes.
- Free operators in the field by capturing mission data and updating AI in minutes for forward or dispersed units.
CAPABILITY
Edge-native, all-in-one solution
Deploy and activate AI directly on edge hardware—no cloud required—for seamless, integrated autonomy from the edge to the operator.
- Get all-in-one: ML tools, AI, and secure communications in a single ecosystem.
- No introduction of new devices is required; the solution utilizes NVIDIA Jetson in the drone vehicle or a wearable device, along with Android smartphone or ATAK, with the option to use a laptop.
- Share data/models across units; monitor performance in real time.
- Fine-tune/activate models on drone-embedded platforms (e.g., NVIDIA Jetson).
CAPABILITY
Effortless field updates to AI drones in minutes
Slash AI update times from weeks to minutes, keeping vehicles and drones mission-ready in real time.
- Cut AI fine-tuning time by 97%—deploy on single vehicles or distributed fleets in minutes instead of weeks.
- Streamline field data annotation and AI updates to minimize human effort.
- Rapidly label new objects (e.g., one-frame to full dataset) for on-the-go AI tuning.
- Update multiple deployed units using a reusable, flexible process that works locally or over a secure local network—for labeling data, training models, and rolling out updates.
- Auto-synchronize model and data repositories across RTK kits for version tracking and performance monitoring.
CAPABILITY
One-click mission tools
Free operators to focus on missions with one-click tools to find and track objects, gather intelligence, and conduct search and reconnaissance operations.
- Confidently free up operator attention for high-level objectives.
- Click once to reliably track any object autonomously.
- Fast fine-tuning with zero-shot auto-labeling.
- No-code AI update, training, and deployment.
- View real-time model performance and device status in one centralized platform.
- Compatible with any video source, allowing you to seamlessly switch between RTSP, HTTP, and others in seconds.
Ready to get started?
Schedule a meeting with an AI expert today.
Resources
Discover how the Latent RTK can help you adapt your AI drones in the field
LEARN MORE
Rugged edge AI FAQs
How can drones and unmanned systems run AI in off-grid environments?
Unmanned vehicles often struggle without cloud access. The Latent Ruggedized Toolkit (RTK) solves this by enabling AI to run directly on edge hardware like NVIDIA Jetson or Android/ATAK devices. This keeps drone flights mission ready even in disconnected or denied environments.
How do I update AI models on drones quickly in the field?
Traditionally, updating AI can take weeks. With the Latent Ruggedized Toolkit, operators can retrain models, label new objects, and deploy updates in minutes, whether to a single drone or multiple units using local or secure networks. This process boosts operational efficiency by reducing downtime and keeping systems continuously updated.
What’s the best way to achieve reliable object tracking with drones?
Most tracking solutions need massive datasets and still fail when conditions change. The Latent Ruggedized Toolkit utilizes adaptive computer vision to deliver one-click, autonomous tracking in real time, enabling operators to direct drones to follow both known and unknown objects with precision.
Can edge AI scale across different unmanned systems?
Yes. The Latent Ruggedized Toolkit adapts AI for diverse platforms, from small Group 1 and Group 2 individual and multiple drones across land, sea, air, and space. It integrates radar, infrared, and electro-optical sensors for missions like disaster response, reconnaissance, and surveillance.
How can operators reduce workload while running AI-enabled missions?
Manual updates and monitoring can slow down field operations. The Latent Ruggedized Toolkit automates labeling, training, and deployment, giving operators one-click mission tools to patrol, detect, track, and act. This provides actionable insights for assessing damage, reduces reliance on manual control, and supports continuous innovation in unmanned missions such as obstacle avoidance and vehicle coordination.
Book a Demo
Experience Latent AI’s RTK-enabled adaptive autonomy, through an edge-native, all-in-one solution. See how operators can update dispersed or single units in minutes using a no-code interface.
Schedule a personalized demo today.