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  • Writer's pictureAmit Kukreja

How All of Palantir's Tech Is Useful For The Edge

What is "The Edge"

Edge computing is a distributed computing paradigm that brings computation and data storage closer to the edge of the network, where things such as sensors, devices, and other endpoints are located. The goal of edge computing is to reduce the amount of data that needs to be transmitted over the network to a central location for processing, and to enable real-time decision-making and action based on locally collected data.

One example of edge computing is a network of sensors that are deployed to monitor the condition of a bridge. These sensors can collect data on the bridge's structural integrity, weather conditions, and other factors, and use edge computing to analyze the data and make real-time decisions about whether the bridge is safe for use. This can be done without sending the data back to a central location for processing, which would be slow and expensive.

I Imagine at this point you can see how Palantir might be able to play a role in edge computing for institutions. The motivation behind the company recently has been to provide real-time analysis of in house data all located in one place. If companies are able to upload Palantir software into a computing system at the bridge then structural inefficiencies will be caught much sooner and with higher accuracy.

Edge computing is becoming increasingly important as the number of connected devices continues to grow, and as the need for real-time decision-making and action based on locally collected data increases. It is being used in a wide range of applications, including industrial automation, smart cities, and the Internet of Things (IoT).

Palantir on the Edge

Palantir Technologies may be able to help companies with edge computing in a number of ways.

First, let's start with Foundry. Foundry is a data management platform that helps companies to integrate, manage, and analyze data from a wide range of sources. One way that Foundry can help with edge computing is by providing a centralized platform for collecting and managing data from sensors and other devices at the edge of the network.

This can help to reduce latency by reducing the amount of time it takes for data to be transmitted and processed. Foundry can also help to increase reliability by providing a robust, scalable platform for managing and storing data at the edge.

Foundry can help to improve privacy as well, by allowing data to be processed and analyzed locally, rather than being transmitted to a central location.

Next, let's look at Apollo. Apollo is a real-time analytics platform that is designed to help companies make better, faster decisions again based on real-time data.

It can be used in conjunction with Foundry to enable companies to analyze data from devices at the edge of the network in real-time, helping them to take timely actions based on the insights it provides.

Finally, there's Gotham. Gotham is a security platform that helps companies to identify and respond to threats in real-time. It can be used in conjunction with Foundry and Apollo to help companies secure their edge computing systems, protecting against threats such as cyber attacks and data breaches. By helping to secure edge computing systems, Gotham can help to increase reliability and improve privacy by protecting against unauthorized access to data.


Palantir is fully aware of the use cases for their products in edge computing. This is likely a large reason as to why they developed their SKYKIT.

Skykit is the most recent product revealed from Palantir, it is the first hardware product they developed likely because it is meant to be used on the edge.

Skykit is a giant data analytics tower in a sense. One that will be sold to governments for edge computing on the battlefield.

By providing a platform for managing and analyzing data, enabling real-time decision-making, and securing edge computing systems, Palantir’s products can help to reduce latency, increase reliability, improve privacy, reduce costs, and improve scalability.

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