- Micro Models
- Sensor Fusion
- Continuous Delivery
- Autonomous Decision Making
- Anywhere Deployment
- At the Edge.
01 — Meet Palantir Edge AI
Data → Micro Models → Device → 01 / 02 / 03 / 04 / 05 / 06
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.
Capabilities in Focus
Unparalleled technology ↳ pushed to the edge.
02 — 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. Extremely lightweight and power efficient, Palantir Edge AI brings AI to drones, vehicles, buildings, oil rigs, aircraft, ships, wind turbines, robots, satellites — and more.
03 — Model Chaining Across Equipment & Environments
A new technology — Micro ModelsTM — 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 can be 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.
04 — Continuous Integration + Continuous Delivery
Palantir Edge AI 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 (CI/CD) of models across endpoints.
05 — Open Model Platform for Sensor Manufacturers
For sensor manufacturers, Palantir Edge AI provides a platform to embed AI/ML alongside your sensors, enabling your customers to train, manage, and deploy proprietary or third-party algorithms anywhere on the edge. From the factory floor to the exosphere.
Palantir Edge AI Use Cases
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 collect images over areas of interest, and models deployed with Palantir Edge AI detect entities or areas — such as vehicles, ships, or forests — and measure the 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 removes the need to downlink data before the next action.
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 Edge AI 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 Edge AI 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.
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.
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.
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.