Palantir Named a Leader in AI/ML Platforms

Palantir Technologies Inc. (NYSE: PLTR), a leading provider of AI software platforms, today announced it had been recognized as a Leader in artificial intelligence and machine learning (AI/ML) software platforms by renowned research and advisory firm Forrester.

Palantir was among the select companies that Forrester invited to participate in “The Forrester Wave™: AI/ML Platforms, Q3 2024” report. Palantir was cited as a Leader in this research, with the highest ranking for Current Offering.

As stated in the report: “Palantir has one of the strongest offerings in the AI/ML space with a vision and roadmap to create a platform that brings together humans and machines in a joint decision-making model. Its approach is to use its data pipelining capabilities and differentiated ontology to support the basis of its AI platform (AIP) offering… Palantir is quietly becoming one of the largest players in this market, seeing a consistent sustained growth rate in the past half decade by making its platform more accessible to users, investing in customer success, and embracing the support of multirole AI teams.”

“Palantir AIP powers the most demanding use-cases across the public and private sector, and is uniquely designed to connect AI directly into frontline operations,” said Akshay Krishnaswamy, Palantir’s Chief Architect. “We believe that being named a Leader in this Forrester Wave evaluation validates our investments across model-agnostic Generative AI infrastructure, multimodal guardrails for human-AI teaming, the decision-centric Ontology — and the full range of other capabilities needed to take enterprises from AI prototype to production.”

Palantir AIP provides the end-to-end architecture for enabling real-time, AI-driven decision-making. Together with Palantir Foundry and Palantir Apollo, AIP enables the “AI Mesh” architecture that is setting the standard for enterprises seeking to deliver composable, interoperable, and scalable value through AI. From public health to battery production, organizations depend on Palantir to safely, securely, and effectively leverage AI in their enterprises — and drive operational results.

To view the full report and see how Palantir compared to the other top AI/ML platforms, visit https://www.palantir.com/forrester-wave-2024/.

About Palantir Technologies Inc.

Foundational software of tomorrow. Delivered today. Additional information is available at https://www.palantir.com.

Forward-Looking Statements

This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. These statements may relate to, but are not limited to, Palantir’s expectations regarding the amount and the terms of the contract and the expected benefits of our software platforms. Forward-looking statements are inherently subject to risks and uncertainties, some of which cannot be predicted or quantified. Forward-looking statements are based on information available at the time those statements are made and were based on current expectations as well as the beliefs and assumptions of management as of that time with respect to future events. These statements are subject to risks and uncertainties, many of which involve factors or circumstances that are beyond our control. These risks and uncertainties include our ability to meet the unique needs of our customer; the failure of our platforms to satisfy our customer or perform as desired; the frequency or severity of any software and implementation errors; our platforms’ reliability; and our customer’s ability to modify or terminate the contract. Additional information regarding these and other risks and uncertainties is included in the filings we make with the Securities and Exchange Commission from time to time. Except as required by law, we do not undertake any obligation to publicly update or revise any forward-looking statement, whether as a result of new information, future developments, or otherwise.

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