
Pay attention to Palantir
Description
Book Introduction
The only AI company chosen first by the government and military.
A company that predicts and moves the world with data.
In the AI era, the most realistic 'next opportunity' lies with Palantir.
Palantir, a company that creates a platform that supports government and corporate decision-making with AI-based data integration and analysis technology.
Palantir is perhaps the world's most quietly influential and deeply entrenched company. This is evidenced by the fact that the CIA has directly invested in it, and its platform has been adopted by organizations like the US Department of Defense, the FBI, the UK's NHS, pharmaceutical company Merck, and United Airlines.
Palantir's technology is not simply a tool for analyzing data, but a platform that transforms the strategies and operations of governments and businesses.
"Palantir: A Look Inside" is the first comprehensive guide to the company, covering its origins, philosophy, technology, customer stories, revenue structure, and future prospects.
Known as "Gotham," "Foundry," and "AIP," these core platforms have had a real-world impact on everything from government national security systems to healthcare administration, global logistics, fraud detection, and new drug development, with a variety of case studies.
Above all, the core of this book is how Palantir is transitioning from being a "government-only analytics tools company" to a subscription-based business model focused on the private market.
Palantir, which had previously relied on government contract sales, has recently rapidly expanded its share of private sector revenue, launched an AIP platform tailored to the generative AI trend, and has finally succeeded in turning a profit based on this.
During this process, the stock price more than doubled, and the market began to re-evaluate the company as an infrastructure company for the AI era.
This book goes beyond a simple introduction to technology. Through the company Palantir, it provides an in-depth look at "what technologies become real businesses" and "what structures create sustainable profits."
If you're looking for opportunities at the intersection of technology and investment, "Palantir: A Look at It" should be on your radar.
A company that predicts and moves the world with data.
In the AI era, the most realistic 'next opportunity' lies with Palantir.
Palantir, a company that creates a platform that supports government and corporate decision-making with AI-based data integration and analysis technology.
Palantir is perhaps the world's most quietly influential and deeply entrenched company. This is evidenced by the fact that the CIA has directly invested in it, and its platform has been adopted by organizations like the US Department of Defense, the FBI, the UK's NHS, pharmaceutical company Merck, and United Airlines.
Palantir's technology is not simply a tool for analyzing data, but a platform that transforms the strategies and operations of governments and businesses.
"Palantir: A Look Inside" is the first comprehensive guide to the company, covering its origins, philosophy, technology, customer stories, revenue structure, and future prospects.
Known as "Gotham," "Foundry," and "AIP," these core platforms have had a real-world impact on everything from government national security systems to healthcare administration, global logistics, fraud detection, and new drug development, with a variety of case studies.
Above all, the core of this book is how Palantir is transitioning from being a "government-only analytics tools company" to a subscription-based business model focused on the private market.
Palantir, which had previously relied on government contract sales, has recently rapidly expanded its share of private sector revenue, launched an AIP platform tailored to the generative AI trend, and has finally succeeded in turning a profit based on this.
During this process, the stock price more than doubled, and the market began to re-evaluate the company as an infrastructure company for the AI era.
This book goes beyond a simple introduction to technology. Through the company Palantir, it provides an in-depth look at "what technologies become real businesses" and "what structures create sustainable profits."
If you're looking for opportunities at the intersection of technology and investment, "Palantir: A Look at It" should be on your radar.
- You can preview some of the book's contents.
Preview
index
introduction
· Palantir Technologies, a game changer in the AI era
Chapter 1. Palantir Technologies: Writing a New History in the AI Era
· The Era of Data and AI, and the Importance of Palantir
· Palantir's technology and role in the AI era
· Palantir's performance as seen in an interesting case study
· The Importance of the 21st Century Data Economy and Palantir
· Palantir's potential from an investor's perspective
Chapter 2.
The Birth of the Next Game Changer
· Background of Palantir's birth: The need for intelligence analysis after the 9/11 terrorist attacks and the CIA's investment
· Background and impact of the 9/11 terrorist attacks
Limitations of existing information analysis systems
· Palantir's founding process
· The role of the CIA and In-Q-Tel
· Early development and challenges
Chapter 3.
A meeting of a cool-headed strategist and a philosopher-idealist.
· Philosophy of Founders and Management: The Philosophy and Management Style of Peter Thiel and Alex Karp
Peter Thiel's Silicon Valley Philosophy: Monopoly, Not Competition
· Alex Karp's philosophical background and unique management style
· Coordinating cooperation and conflict between two polar opposite leaders
· Differences between Palantir's corporate culture and Silicon Valley's
· The impact of philosophy and management strategy on company growth and key decisions
Chapter 4.
What does Palantir sell and how?
Palantir's products and technologies: Gotham, Foundry, Apollo, and AIP
· History and development process of each product
· Technical features and differences
· Key use cases
· Future prospects for each product
Chapter 5.
From government agencies to giant corporations, they dominate the market.
· Palantir's major projects and cases: US military, FBI, CIA, Department of Homeland Security, UK NHS, Ukraine War
· Background of cooperation with each organization
· Specific project details
· Actual results and achievements
· Controversy and ethical issues
Future outlook
Chapter 6.
The reason why we were able to dominate the market
Palantir's business model: Government contracts and expansion into the private market, subscription models, and monetization.
· Common revenue-generating methods for data analytics companies
Palantir's government contracting model
· Private market expansion strategy
Palantir's subscription model and monetization methods
Palantir's overall revenue structure and outlook
Chapter 7.
Will Palantir become the uncontested leader?
Investment strategy and financial analysis: evaluating stock price volatility, long-term growth potential, and profit models.
· Stock price volatility analysis
· Long-term growth potential assessment
· Revenue model evaluation and financial analysis
Investment strategy
Chapter 8.
How to overcome threats and crises?
· Controversy and ethical issues surrounding Palantir: Surveillance society controversy, government relations, and data privacy
· Surveillance society controversy
· Relations with the government
· Data privacy controversy
Chapter 9.
Identify competitive advantage strategies by comparing with competitors.
· Competitor Comparison and Market Position: Snowflake, Databricks, AWS, Google Cloud
· Palantir vs.
Snowflake
· Palantir vs.
Databricks
· Palantir vs. AWS and Google Cloud
Palantir's position in the market
Chapter 10. The Future of Palantir: A Paradigm-Shifting AI Era
· Outlook and Scenarios: Palantir's Future in the AI Era, Scalability, and Risk Factors
· Palantir's Position in the AI Era
· Scalability
· Risk factors and challenges
· Future scenario analysis
Conclusion
· Can Palantir become an "infrastructure company for the AI era"?
supplement
· Palantir Technologies, a game changer in the AI era
Chapter 1. Palantir Technologies: Writing a New History in the AI Era
· The Era of Data and AI, and the Importance of Palantir
· Palantir's technology and role in the AI era
· Palantir's performance as seen in an interesting case study
· The Importance of the 21st Century Data Economy and Palantir
· Palantir's potential from an investor's perspective
Chapter 2.
The Birth of the Next Game Changer
· Background of Palantir's birth: The need for intelligence analysis after the 9/11 terrorist attacks and the CIA's investment
· Background and impact of the 9/11 terrorist attacks
Limitations of existing information analysis systems
· Palantir's founding process
· The role of the CIA and In-Q-Tel
· Early development and challenges
Chapter 3.
A meeting of a cool-headed strategist and a philosopher-idealist.
· Philosophy of Founders and Management: The Philosophy and Management Style of Peter Thiel and Alex Karp
Peter Thiel's Silicon Valley Philosophy: Monopoly, Not Competition
· Alex Karp's philosophical background and unique management style
· Coordinating cooperation and conflict between two polar opposite leaders
· Differences between Palantir's corporate culture and Silicon Valley's
· The impact of philosophy and management strategy on company growth and key decisions
Chapter 4.
What does Palantir sell and how?
Palantir's products and technologies: Gotham, Foundry, Apollo, and AIP
· History and development process of each product
· Technical features and differences
· Key use cases
· Future prospects for each product
Chapter 5.
From government agencies to giant corporations, they dominate the market.
· Palantir's major projects and cases: US military, FBI, CIA, Department of Homeland Security, UK NHS, Ukraine War
· Background of cooperation with each organization
· Specific project details
· Actual results and achievements
· Controversy and ethical issues
Future outlook
Chapter 6.
The reason why we were able to dominate the market
Palantir's business model: Government contracts and expansion into the private market, subscription models, and monetization.
· Common revenue-generating methods for data analytics companies
Palantir's government contracting model
· Private market expansion strategy
Palantir's subscription model and monetization methods
Palantir's overall revenue structure and outlook
Chapter 7.
Will Palantir become the uncontested leader?
Investment strategy and financial analysis: evaluating stock price volatility, long-term growth potential, and profit models.
· Stock price volatility analysis
· Long-term growth potential assessment
· Revenue model evaluation and financial analysis
Investment strategy
Chapter 8.
How to overcome threats and crises?
· Controversy and ethical issues surrounding Palantir: Surveillance society controversy, government relations, and data privacy
· Surveillance society controversy
· Relations with the government
· Data privacy controversy
Chapter 9.
Identify competitive advantage strategies by comparing with competitors.
· Competitor Comparison and Market Position: Snowflake, Databricks, AWS, Google Cloud
· Palantir vs.
Snowflake
· Palantir vs.
Databricks
· Palantir vs. AWS and Google Cloud
Palantir's position in the market
Chapter 10. The Future of Palantir: A Paradigm-Shifting AI Era
· Outlook and Scenarios: Palantir's Future in the AI Era, Scalability, and Risk Factors
· Palantir's Position in the AI Era
· Scalability
· Risk factors and challenges
· Future scenario analysis
Conclusion
· Can Palantir become an "infrastructure company for the AI era"?
supplement
Detailed image

Into the book
The birth of Palantir Technologies was a combination of the shock of the 9/11 terrorist attacks, the limitations of outdated intelligence analysis systems, the founders' desire to protect national security with Silicon Valley technology, and the support and relentless field verification efforts of the CIA's In-Q-Tel.
Although initially a small startup, Palantir has established a unique position in the era of paradigm shifts in information analysis.
Palantir's ability to connect and visualize vast amounts of data to uncover hidden patterns, and its goal of using this to proactively prevent terrorism, aligned perfectly with the changing needs of intelligence agencies following 9/11.
This philosophy of simultaneously respecting civil liberties and privacy while also ensuring security has garnered balanced support from both government and the public, laying the foundation for Palantir's growth into the leader in information analytics technology it is today.
--- p.32
Palantir AIP (Artificial Intelligence Platform): Short for Artificial Intelligence Platform, this is Palantir's latest product, released in April 2023.
A 2023 demonstration video made headlines by showing a user commanding a conversational AI assistant chatbot to deploy a reconnaissance drone and receive a summary of the information in a military operation scenario. Palantir also emphasized the principle of requiring human control to prevent the AI from making critical decisions autonomously. AIP is built on the concept of enterprise data ontology, a concept Palantir engineers have been researching for years, enabling AI to understand a company's real-world data and business context and assist in decision-making.
--- p.55~56
One of Gotham's most famous anecdotes is the aforementioned hunt for Osama bin Laden. While details are limited, Palantir software reportedly played a role, analyzing patterns in vast amounts of information to connect nicknames used by bin Laden's henchmen.
Thanks to its ability to uncover hidden insights from vast amounts of data, Gotham has been called a "powerful X-ray against terrorism and crime," and is still widely used by intelligence agencies, military, and law enforcement agencies in the United States and its allies.
--- p.61~62
Palantir's total revenue is expected to reach approximately $2.2 billion by 2023, more than tripling from approximately $700 million in 2019 in just four years.
This revenue is largely divided into government and private (commercial) sectors, with the government sector accounting for approximately 55% (USD 1.2 billion) and the private sector accounting for 45% (USD 1 billion) as of 2023.
Government revenue grew steadily, growing 14% in 2023 compared to 2022, while private revenue grew 20% over the same period, showing a faster growth rate than the government sector.
The private sector is entering a period of full-blown growth, with U.S. commercial sales growing by more than 50% per quarter through 2024, driven in particular by the expansion of commercial customers in the U.S.
--- p.120
Palantir stock is attracting significant interest from both individual and institutional investors.
Since its initial public offering, Palantir has been a hot topic of discussion on Reddit's WallStreetBets forum and other forums, becoming a meme stock and at one point even surpassing GameStop as the most mentioned stock in that community.
Individual investors, attracted by Palantir's long-term growth story and innovative nature, actively bought the stock, even engaging in short-term trading during stock price fluctuations.
On the other hand, ARK Invest (ARK), a representative institutional investor, steadily purchased stocks from 2021 to 2022, but began taking profits from 2024, which had a short-term impact on the stock price.
--- p.130
Palantir has long been losing money, but it set a goal of turning a profit for the first time in 2023, and it has achieved that goal.
This is a result of attracting large customers, increasing revenue per existing customer, and expanding its subscription-based SaaS model, making Palantir one of the few AI-based analytics companies to be profitable.
This serves as a very important indicator for investors and is considered a decisive factor in increasing confidence in a company's fundamentals.
--- p.140
Los Angeles Police Department (LAPD): In 2011, the LAPD used software developed by Palantir to analyze data on the types and frequency of crimes occurring in specific areas of the city to build a "predictive policing" model.
This helped reduce crime rates by identifying crime-prone times and areas in advance and conducting intensive patrols.
--- p.158
Palantir is also seeking to differentiate itself in terms of its generative AI strategy.
Rather than developing our own language models like ChatGPT, we orchestrate and integrate cutting-edge external LLMs like OpenAI into the Palantir platform to provide customized use of customer data.
This approach has given Palantir a lot of confidence in enterprise customers who are sensitive to security and data ownership issues, and has led to the company being recognized as making AI an infrastructure, not a commodity.
Although initially a small startup, Palantir has established a unique position in the era of paradigm shifts in information analysis.
Palantir's ability to connect and visualize vast amounts of data to uncover hidden patterns, and its goal of using this to proactively prevent terrorism, aligned perfectly with the changing needs of intelligence agencies following 9/11.
This philosophy of simultaneously respecting civil liberties and privacy while also ensuring security has garnered balanced support from both government and the public, laying the foundation for Palantir's growth into the leader in information analytics technology it is today.
--- p.32
Palantir AIP (Artificial Intelligence Platform): Short for Artificial Intelligence Platform, this is Palantir's latest product, released in April 2023.
A 2023 demonstration video made headlines by showing a user commanding a conversational AI assistant chatbot to deploy a reconnaissance drone and receive a summary of the information in a military operation scenario. Palantir also emphasized the principle of requiring human control to prevent the AI from making critical decisions autonomously. AIP is built on the concept of enterprise data ontology, a concept Palantir engineers have been researching for years, enabling AI to understand a company's real-world data and business context and assist in decision-making.
--- p.55~56
One of Gotham's most famous anecdotes is the aforementioned hunt for Osama bin Laden. While details are limited, Palantir software reportedly played a role, analyzing patterns in vast amounts of information to connect nicknames used by bin Laden's henchmen.
Thanks to its ability to uncover hidden insights from vast amounts of data, Gotham has been called a "powerful X-ray against terrorism and crime," and is still widely used by intelligence agencies, military, and law enforcement agencies in the United States and its allies.
--- p.61~62
Palantir's total revenue is expected to reach approximately $2.2 billion by 2023, more than tripling from approximately $700 million in 2019 in just four years.
This revenue is largely divided into government and private (commercial) sectors, with the government sector accounting for approximately 55% (USD 1.2 billion) and the private sector accounting for 45% (USD 1 billion) as of 2023.
Government revenue grew steadily, growing 14% in 2023 compared to 2022, while private revenue grew 20% over the same period, showing a faster growth rate than the government sector.
The private sector is entering a period of full-blown growth, with U.S. commercial sales growing by more than 50% per quarter through 2024, driven in particular by the expansion of commercial customers in the U.S.
--- p.120
Palantir stock is attracting significant interest from both individual and institutional investors.
Since its initial public offering, Palantir has been a hot topic of discussion on Reddit's WallStreetBets forum and other forums, becoming a meme stock and at one point even surpassing GameStop as the most mentioned stock in that community.
Individual investors, attracted by Palantir's long-term growth story and innovative nature, actively bought the stock, even engaging in short-term trading during stock price fluctuations.
On the other hand, ARK Invest (ARK), a representative institutional investor, steadily purchased stocks from 2021 to 2022, but began taking profits from 2024, which had a short-term impact on the stock price.
--- p.130
Palantir has long been losing money, but it set a goal of turning a profit for the first time in 2023, and it has achieved that goal.
This is a result of attracting large customers, increasing revenue per existing customer, and expanding its subscription-based SaaS model, making Palantir one of the few AI-based analytics companies to be profitable.
This serves as a very important indicator for investors and is considered a decisive factor in increasing confidence in a company's fundamentals.
--- p.140
Los Angeles Police Department (LAPD): In 2011, the LAPD used software developed by Palantir to analyze data on the types and frequency of crimes occurring in specific areas of the city to build a "predictive policing" model.
This helped reduce crime rates by identifying crime-prone times and areas in advance and conducting intensive patrols.
--- p.158
Palantir is also seeking to differentiate itself in terms of its generative AI strategy.
Rather than developing our own language models like ChatGPT, we orchestrate and integrate cutting-edge external LLMs like OpenAI into the Palantir platform to provide customized use of customer data.
This approach has given Palantir a lot of confidence in enterprise customers who are sensitive to security and data ownership issues, and has led to the company being recognized as making AI an infrastructure, not a commodity.
--- p.202
GOODS SPECIFICS
- Date of issue: April 10, 2025
- Page count, weight, size: 240 pages | 376g | 152*225*17mm
- ISBN13: 9791170222941
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