Palantir has a total of 3438 patents globally, out of which 2608 have been granted. Of these 3438 patents, more than 80% patents are active. United States of America is where Palantir has filed the maximum number of patents, followed by Europe (EPO) and United Kingdom. Parallelly, United States of America seems to be the main focused R&D centre and also is the origin country of Palantir.
Palantir was founded in the year 2003. The Company provides software solutions. The Company offers platforms for integrating, managing, and securing data that helps in interactive human-driven, machine-assisted analysis.
Do read about some of the most popular patents of Palantir which have been covered by us in this article and also you can find Palantir patents information, the worldwide patent filing activity and its patent filing trend over the years, and many other stats over Palantir patent portfolio.
How many patents does Palantir have?
Palantir has a total of 3438 patents globally. These patents belong to 742 unique patent families. Out of 3438 patents, 2760 patents are active.
How Many Patents did Palantir File Every Year?
Are you wondering why there is a drop in patent filing for the last two years? It is because a patent application can take up to 18 months to get published. Certainly, it doesn’t suggest a decrease in the patent filing.
| Year of Patents Filing or Grant | Palantir Applications Filed | Palantir Patents Granted |
| 2024 | 104 | 233 |
| 2023 | 182 | 270 |
| 2022 | 217 | 279 |
| 2021 | 179 | 302 |
| 2020 | 260 | 377 |
| 2019 | 449 | 580 |
| 2018 | 391 | 171 |
| 2017 | 506 | 138 |
| 2016 | 405 | 91 |
| 2015 | 176 | 63 |
| 2014 | 307 | 72 |
| 2013 | 95 | 20 |
How many Palantir patents are Alive/Dead?
How Many Patents did Palantir File in Different Countries?
Countries in which Palantir Filed Patents
| Country | Patents |
| United States of America | 1799 |
| Europe (EPO) | 741 |
| United Kingdom | 319 |
| Germany | 191 |
| Austria | 117 |
| Australia | 60 |
| Canada | 42 |
| Norway | 29 |
| Denmark | 20 |
| Spain | 18 |
| Netherlands | 16 |
| New Zealand | 10 |
| Poland | 10 |
| Hong Kong (S.A.R.) | 9 |
| Portugal | 7 |
| Lithuania | 7 |
| Hungary | 6 |
| Switzerland | 3 |
| Slovenia | 2 |
| Estonia | 2 |
| Turkey | 2 |
| Cyprus | 1 |
| Croatia | 1 |
| Japan | 1 |
| Israel | 1 |
Where are Research Centres of Palantir Patents Located?
10 Best Palantir Patents
USD757028S1 is the most popular patent in the Palantir portfolio. It has received 873 citations so far from companies like Gamblit Gaming, Ethicon and Cilag.
Below is the list of 10 most cited patents of Palantir:
| Publication Number | Citation Count |
| USD757028S1 | 873 |
| US8812960B1 | 463 |
| US8938686B1 | 451 |
| US8799799B1 | 440 |
| US7962495B2 | 419 |
| US9009827B1 | 372 |
| US9043894B1 | 347 |
| US9648036B2 | 323 |
| US9129219B1 | 294 |
| US8689108B1 | 280 |
What Percentage of Palantir US Patent Applications were Granted?
Palantir (Excluding its subsidiaries) has filed 1701 patent applications at USPTO so far (Excluding Design and PCT applications). Out of these 1373 have been granted leading to a grant rate of 95.08%.
Below are the key stats of Palantir patent prosecution at the USPTO.
Which Law Firms Filed Most US Patents for Palantir?
| Law Firm | Total Applications | Success Rate |
| Knobbe Martens Olson & Bear Llp | 672 | 96.23% |
| Sheppard Mullin | 395 | 95.93% |
| Faegre Drinker Biddle & Reath Llp | 293 | 99.50% |
| Palantir (Inhouse IP Department) | 213 | 96.86% |
| Duane Morris Llp | 72 | 100.00% |
| Hickman Becker Bingham Ledesma Llp | 29 | 75.00% |
| Mcandrews Held & Malloy Ltd | 3 | 100.00% |
| Wentsler Llc | 1 | 0% |
Technological Profile of Palantir Patents
Palantir describes itself as an analytical infrastructure (and not a visualization tool or database) that helps analyst leverage existing data within an organization to find answers quickly. This analytical infrastructure has four major layers of functionalities that build on each other. These are as follows:
Data integration: This is the foundation of Palantir on which it does everything. It fetches all form of data – video, GPS imagery, spreadsheets, etc. – that exists across an enterprise in different databases brings it to access at one place.
Search and Discovery: This layer facilitates a single search point of access that allows a user to search in any of the databases across an enterprise. A non-technical analyst can perform advanced conceptual and persistent searches of petabytes of data without using SQL queries or by writing strings. It lets an analyst discover the unknowns by allowing them to search on the basis of how different information is linked together.
The Search and Discovery layer also offers geo spatial and temporal searches which allow a user to know what was happening at what time at what place. For example, a user can ask questions like show me all the traffic violations in this route over the last three weeks.
Knowledge management: This layer keeps a track of every bit of data that enters into it data integration layer. This data is tracked wrt to how and when it entered into Palantir, who is allowed to see it, and how the information changed/evolved over the time.
Collaboration: The collaboration layer of Palantir tools allows a user to share his analysis across an enterprise.Individuals and groups of individuals benefit from each other’s work while making sure that each user can access only the data s/he is authorized to access.
Palantir’s collaboration layer is modeled around the way version control worksin software development. Like in a software project where hundreds of engineers make changes in a single codebase at the same time, Palantir offers its users to work on a dataset individually and reconcile their shared understanding at a single place. The exhibit below represents the breakage and distribution of 486 patent families of Palantir into various technology clusters. Being a data science unicorn is reflected in the patent portfolio of Palantir as 72.2% of its patent portfolio is focused on data analysis.
Palantir Patent Portfolio: Digital Data Processing Patents (302 patent Families)
The Data Processing cluster is the backbone of Palantir’s technology. 62% or 302 patent families of Palantir are focused on the processing of digital data. Major sub-clusters of Data Processing are Information retrieval, Interface, Handling Natural Language Data, and Security Arrangement. Inventions on UI, making sense of data coming from vast and hugely fragmented datasets, finding the relationship between data in fragmented datasets, and how Palantir’s Gotham, Metropolis, and Foundry platforms offer analysis and prediction, are in this cluster.
Information Retrieval (File System and Database structure – 181 patent families)
Patent families classified in this cluster are focused on the Data Integration layer. In general, inventions in this cluster are focused on retrieving digital information stored in databases, data repositories or file systems, on query formulation, on tuning, replication, archiving, synchronization, and concurrency control, de-duplication of stored data, application-specific caching and pre-fetching in file systems. Also, techniques for retrieving semi-structured data, text, audio, image, video or multimedia data, and retrieving information from web get classified under the cluster.
135/181 patent families of Palantir in this cluster are focused on Structured data. These patent families are focused on visual data mining, a database having geographical information, DBMS interfaces, database models, querying (max 46 patent families), and the like. The exhibit below gives a complete breakdown of the distribution of 135 patent families. Also, the list below has the detail of some of the inventions covered under Structured Data.
Structured Data:
- To efficiently replicate large numbers of data object changes over an unreliable data network.
- Interactive UI that enables efficient and rapid access to multiple different data sources simultaneously for an unskilled user.
- More efficient multi-row ACID-compliant transactions with snapshot isolation semantics,
- On ontology
- Provide a highly dynamic and interactive UI for quick and efficient exploration of large volume data sources.
- For automatically clustering and canonically identifying related data in various data structures.
- For improved time-series databases and time-series operations.
- Use of AI algorithms to categorize data items obtained from different sources into different sub-sets based on ranking, and presenting that on an ergonomic UI for efficient analysis.
- UI elements that enable users to create visual queries.
- Techniques for reducing the amount of decoding and decompressing to speed up locating, accessing, and retrieving data.
- An improved spreadsheet application that allows a user to generate, manipulate, and replicate data visualizations (e.g., sparklines, graphs, charts, etc.) using functions without importing data into cells of the application
- Approaches for indexing and comparing charts
Interface Arrangement (35 patent families)
This cluster has patent families covering inventions for the Search and Discovery layer. The list below is an overview of the kind of inventions Palantir has filed under the Interface Arrangement cluster:
- A gesture management system for UI wherein when a user waves hands to the right, for example, the system may trigger rotation of a globe to the right or panning of a surface to the right.
- Graphic representation of time based results. Let me explain its application in context of gas extraction where output versus time is displayed on a graph for an analyst. If the analyst observes a drop in production, s/he may highlight a portion of the graph where output was “ideal” and set that portion of the graph as the baseline. This offers the analyst to find what has changed with the inputs and why between the baseline/ideal time and the time being studied.
- A convenient, digestible overview of tactical and/or strategic data in a single UI for Emergency Call Data of a Law Enforcement Agency.
- UI that allows distorting nodes in a graph. It can present multiple nodes in a particular area of interest in a manner that makes it easier for an analyst to interact with one or more nodes, and can visualize a graph better than a simple zoomed-in view.
Security (17 patent families)
Patent families in this cluster are on features of the Collaboration Layer. The list below is a peek at the kind of inventions covered in this sub-cluster:
- Data analysis system that may automatically analyze a suspected malware file, or group of files.
- For Protecting Against Malicious Code
- On a system that allows multiple users to collaborate on a document while ensuring that each user can only see the portion of a document commensurate with their access level control. .
- A central computer site on a computer network for detecting authorized or unauthorized duplication of software on computers connected to such a network.
Handling Natural language Data (20 patent families)
Patents that cover text and natural language processing, language translation, spreadsheets, and processing of markup language are classified under this sub-cluster. This sub-cluster in Palantir patent portfolio has inventions focusing on analysis of large bodies of textual data, for providing access to a data object from within a spreadsheet, for generating a new workflow for an application, for enhanced verification wherein a classification computer trains a classifier based on a set of training documents, for annotating and linking electronic documents, etc.
Program Control Unit (20 patent families)
Patents in this cluster cover inventions on runtime execution of programs. Below is detail of some of the inventions covered in this sub-cluster:
- For creating and managing dashboards.
- Pipeline Task Verification
- System Architecture For Efficient Inter-Application Communications
- Module Assignment Management
- For secure interfacing with a cloud computing service
- Remote configuration of a computing machine
Palantir Patent Portfolio: Data Processing Systems (31 Patent Families)
This tech cluster of Palantir’s patent portfolio covers data processing systems for managing, promoting, or practicing commercial or financial activities. These patent families cover different features and applications of Palantir’s Foundry platform.
A total of 31 patent families of Palantir are classified in this cluster. 12 patent families in this cluster focus on governing or management of an organization, enterprise or employees, 2 on Payment Architectures, 7 on Commerce, 8 in Finance, and one each in Manufacturing and Service Sectors.
Under Administration & Management sub-cluster, inventions like data processing systems for surveillance/monitoring, tracking systems, for analyzing healthcare data, data audit system to generate and display a tracking interface, fraud detection in the context of health insurance, etc. are covered.
In Finance, data processing techniques for analyzing market dynamics, card breach detection, using multiple predictive data models to predict profitability of a customer/household, etc. are covered.
In Commerce, techniques like determining an inclination of a customer to take a specified action – leaving, using ML to automatically process already stored data to find fraudulent/abusive users, payment card fraud detection by identification of compromised card readers, a UI with a map based on location-based interaction data, Collecting and classifying billion of data points according to different behavioral patterns, etc., are disclosed.
The inventions in Payments clusters are on data analysis to detect and score potential money laundering activities, and for detecting fraudulent transactions such as unauthorized trading activity.
Palantir Patent Portfolio: Digital Information Transmission (50 Patent Families)
50 patent families on Data Transmission by Palantir Technologies cover techniques and methods related to Network Security, Cryptography, Access control, Policy Control, Distributed computing, Client-server architecture, and the like. 17/50 patent families in this tech cluster are focused on Malicious Traffic. These patent families cover techniques that detect malicious software, email phishing attacks, account compromise, a vulnerability in a computer network, and security systems that detect and prevent cyber-attacks on an organization. In 2009 and 2010, Palantir was used in uncovering the China-based cyberespionage network GhostNet and the Shadow Network respectively.
Palantir Patent Portfolio: Image Data Processing and Generation Patents (18 Patent Families)
The focus of Palantir’s patent families in this cluster is on increasing cognitive and ergonomic efficiencies in interactions and presentation of data. The patent families in this cluster cover:
- Techniques to display an interactive geospatial map,
- Time series data for analysis,
- A visualization system for event participation flows,
- A UI for a defect management system, a passing system with an interactive UI that provides information about vehicle/individual crossing a marker(s),
Multiple viewshed analysis which has applications in military/civilian world, a system for generating alerts for user review after collecting data from large number of entities – machines in manufacturing unit, oil rigs, computers on a network, etc., are protected in this technology cluster.
HealthCare (2 patent Families)
One patent family in Bioinformatics is on a UI for visualization of genomic data. This patent belongs to Palantir’s Foundry Platform for the Healthcare industry. The NIH uses the Foundry platform to understand scientific data from dozens of internal and external sources. For example, in their studies to enable precision medicine, NIH used the Foundry Platform to understand how genetic and other factors impact drug efficacy.
Another patent family categorized under Healthcare Informatics is on care management software. The patent shares a technique to identify members to target for therapeutic intervention.
Artificial Intelligence (7 Patent Families)
Palantir has 7 patent families covering computer systems based on specific computational models in its patent portfolio. You can see a further distribution of these patent families in the exhibit below.
Three patent families in Knowledge-based models are on Crime Risk Forecasting or predictive policing which is a key feature of Palantir’s Metropolis, for reducing failure rates of manufactured products, and for identifying and categorizing electronic documents through machine learning.
Two patent families in Machine Learning are on selecting machine learning training data, and on a vector modeling system For Distributed Data Sets. One patent family in Biological Models is on using AI to identify prior art patent references for a subject patent application, and the one in Mathematical Models is on processing sensor logs.
One more thing, We have converted this entire analysis in PDF form that you can download and save for later reading (or sharing with your friends). You can download it using the form below:
Comments
Cool stuff! Where did you get the info tho?
Keep doing good stuff!