TheFiend
Elite
Palantir's Edge AI software is designed to offer a lightweight & low-power system to run autonomous decision-making on satellites & other assets.
Featuring micro models, sensor fusion, continuous delivery, autonomous decision-making, anywhere deployment.
For operators, Palantir Edge AI modernizes your fleet of sensors.
For sensor manufacturers, it enables your customers to train, manage, and deploy AI models anywhere your sensors run.
From efficiently detecting on-land risks from space to predictive maintenance at the edge, this is AI in action.
Achieve operating superiority with autonomous decision-making across edge devices and environments
Extremely lightweight and power-efficient to deploy, Palantir Sensor Inference Platform (SIP) embeds models on drones, aircraft, ships, robots, buildings, satellites — and more.
AI-driven Decision-making
•Palantir Edge AI is Palantir’s AI orchestration and sensor fusion engine that runs on disconnected, remote endpoints.
•It enables autonomous decision-making for on-hardware models consuming real-time sensor, radio, acoustic, geo-registration, and time series data.
•The platform operates in low-bandwidth, low-power conditions, bringing AI to all of your IoT devices — from drones to wind turbines to manufacturing robots.
Model Chaining Across Environments & Devices
•A new technology — Micro Models™ — lets you chain algorithms together across devices and environments, meaning your models in space can connect to your models on land or underwater.
•Micro Models are modular, operation-specific models designed around a measurable objective.
•They can include homegrown, open-source, or third-party algorithms.
•Palantir provides end-to-end infrastructure for the AI/ML lifecycle, with versioning, branching, reproducibility, and lineage for each and every model.
Continuous Integration & Continuous Delivery
•Palantir Edge AI provides continuous integration / continuous delivery (CI/CD) of your models.
•The AI Inference Platform mediates interactions between Palantir AI/ML infrastructure and heterogeneous edge environments.
•Decisions and metadata from edge-deployed models flow back into the core Palantir platform, accelerating retraining and continuous integration/continuous delivery of models across endpoints.
Open Model Platform for Sensor Manufacturers
•For sensor manufacturers, Palantir Edge AI provides a platform to embed AI/ML alongside your sensors.
•The system enables your customers to train, manage, and deploy proprietary or third-party algorithms anywhere on the edge.
•From the factory floor to the exosphere.
Edge AI is designed for situations where speed and efficiency matter.
Manufacturing Quality Control
•Businesses can embed Palantir Edge AI on sensors and cameras in manufacturing plants — as well as on machines in processing factories — to increase efficiency and improve quality control.
•When these sensors examine components as part of a production line, models deployed with Palantir Edge AI identify defective products and separate them for inspection or repair.
Robotic Motion Planning
•Automated production systems can utilize Palantir Edge AI with robot sensors and cameras to increase autonomy and accuracy.
•Robot sensors monitor the environment and actuator positions, while algorithms deployed with Palantir Edge AI detect objects and command actuator actions to manipulate and place objects in the appropriate locations.
Remote Sensing & Cueing
•With Palantir Edge AI deployed onboard spacecraft, sophisticated AI models can be rapidly integrated and swapped out as objectives evolve, feedback is received, and models are retrained.
•Satellites are able to collect images over areas of interest, and models deployed with Palantir Edge AI can detect entities or areas — such as vehicles, ships, or forests — and measure their changes over time.
•These changes can trigger more focused or frequent imaging.
•By enabling low-latency decision-making only possible at the edge, Palantir Edge AI can remove the need to downlink data before the next action.
Predictive Maintenance
•Organizations with equipment in low bandwidth environments — such as mines, farms, factories, and airspace — can adopt a preemptive approach to part replacement and repair, reducing equipment downtime and minimizing maintenance costs.
•Sensors collect data on the state of subsystems of a given machine, vehicle, aircraft, or ship.
•Models deployed with Palantir AI Inference Platform monitor them for predictors of failure and queue them for maintenance.
Find, Fix & Track
•Palantir Edge AI deploys at the tactical edge in low-bandwidth or disconnected environments to support cameras and other sensors scanning across wide areas.
•Computer vision models deployed with Palantir AI Inference Platform search for key objects — such as vehicles, people, or ships.
•When an entity of interest is found, the camera and platform move along with it.
•Palantir Edge AI generates metadata-only streams to reduce bandwidth while still providing actionable insights.
•For example, it can run on cameras on ships — without a network connection — to accurately detect and classify boats on the horizon as friendly or threatening, feeding back into an on-board alerting system.
Autonomous Navigation
•For autonomous vehicles, algorithms deployed on vehicle sensors with Palantir Edge AI detect potential obstacles in the path of the moving vehicle, and command the control system to avoid or mitigate collision.
Drug Compound Screening
•Healthcare institutions can accelerate research by leveraging Palantir Edge AI within their labs.
•AI models quantify images and can determine promising compounds, expediting subsequent experiment generation and analysis.
Energy Management
•Organizations seeking to manage their energy consumption and reduce production costs can deploy Palantir Edge AI on sensors, allowing AI models to analyze power utilization across systems. Models can then initiate actions to reduce system activity and improve efficiency.
(....work in progress... )
