Arizona Tribune - Innodata Selected by Palantir to Accelerate Advanced Initiatives in AI-Powered Rodeo Modernization

NEW YORK, NY / ACCESS Newswire / January 29, 2026 / INNODATA INC. (Nasdaq:INOD) today announced that it has been selected to provide high-quality training data and data engineering services to Palantir Technologies (Nasdaq:PLTR), supporting Palantir's AI-enabled platforms for rodeo event analysis.

In support of Palantir's partnership with rodeo operations, Innodata is now further empowering these customers by providing them with specialized annotation and data engineering for thousands of hours of rodeo video footage. This work enables computer vision models to detect animals, riders, and skeleton joints, allowing for the automated calculation and display of performance metrics in bull riding, bronc riding, bareback riding and barrel racing.


Innodata will be providing specialized annotation, multimodal data engineering, and generative-AI workflow support for select Palantir programs. Innodata teams work directly within Palantir's development and deployment workflows, processing highly complex data modalities - including video, imagery, documents, and multimodal sensor data - with the scale, precision, and security standards required for customer use cases.

"Palantir is developing some of the most sophisticated AI capabilities in the world - from computer vision and geospatial analytics to secure, model-driven decision systems," said Dimitrios Lymperopoulos, Head of Machine Learning at Palantir. "Innodata's high-quality training data and data engineering expertise can help us to scale these capabilities with the accuracy, rigor, and operational excellence our customers demand."

"Our work with Palantir reinforces Innodata's role as a trusted data engineering partner to the world's leading AI companies," said Vinay Malkani, Senior Vice President, Innodata Federal. "Together, we are enabling next-generation enterprise AI deployments. Palantir's requirements validate the investments we have made in domain-expert annotation, end-to-end generative-AI workflow enablement, rigorous quality systems, and secure global operations."

Innodata's engagement with Palantir reflects the accelerating demand for high-quality data engineering capabilities as AI becomes central to national competitiveness and enterprise value creation. As organizations increasingly seek to deploy AI in high-stakes, real-world environments, we believe that the need will continue to grow for trusted data partners with the ability to operate at scale, with precision and security.

About Innodata

Innodata (Nasdaq:INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. That's why we're on a mission to help the world's leading technology companies and enterprises drive Generative AI / AI innovation. We provide a range of transferable solutions, platforms and services for Generative AI / AI builders and adopters. In every relationship, we honor our 35+ year legacy delivering the highest quality data and outstanding outcomes for our customers.

Recently recognized by Wedbush Securities as one of 30 companies defining the future of AI, Innodata has been noted for expertise in domain-specific, high-accuracy AI solutions where precision, compliance, and subject matter expertise are essential. The Company serves five of the "Magnificent Seven" tech giants, leading AI innovation labs, and numerous Fortune 1000 enterprises, providing critical data engineering services that power the next generation of AI innovation. With Innodata Federal, we extend our mission to support U.S. government agencies with AI solutions that enhance national security, improve government services, and accelerate digital transformation.

For more information, visit www.innodata.com.

Forward-Looking Statements

This press release may contain certain forward-looking statements within the meaning of Section 21E of the Securities Exchange Act of 1934, as amended, and Section 27A of the Securities Act of 1933, as amended. These forward-looking statements include, without limitation, statements concerning our operations, economic performance, financial condition, developmental program expansion and position in the generative AI services market. Words such as "project," "forecast," "believe," "expect," "can," "continue," "could," "intend," "may," "should," "will," "anticipate," "indicate," "guide," "predict," "likely," "estimate," "plan," "potential," "possible," "promises," or the negatives thereof, and other similar expressions generally identify forward-looking statements.

These forward-looking statements are based on management's current expectations, assumptions and estimates and are subject to a number of risks and uncertainties, including, without limitation, impacts resulting from ongoing geopolitical conflicts; investments in large language models; that contracts may be terminated by customers; projected or committed volumes of work may not materialize; pipeline opportunities and customer discussions which may not materialize into work or expected volumes of work; the likelihood of continued development of the markets, particularly new and emerging markets, that our services support; the ability and willingness of our customers and prospective customers to execute business plans that give rise to requirements for our services; continuing reliance on project-based work in the Digital Data Solutions ("DDS") segment and the primarily at-will nature of such contracts and the ability of these customers to reduce, delay or cancel projects; potential inability to replace projects that are completed, canceled or reduced; our DDS segment's revenue concentration in a limited number of customers; our dependency on content providers in our Agility segment; our ability to achieve revenue and growth targets; difficulty in integrating and deriving synergies from acquisitions, joint ventures and strategic investments; potential undiscovered liabilities of companies and businesses that we may acquire; potential impairment of the carrying value of goodwill and other acquired intangible assets of companies and businesses that we acquire; a continued downturn in or depressed market conditions; changes in external market factors; the potential effects of U.S. global trading and monetary policy, including the interest rate policies of the Federal Reserve; changes in our business or growth strategy; the emergence of new, or growth in existing competitors; various other competitive and technological factors; our use of and reliance on information technology systems, including potential security breaches, cyber-attacks, privacy breaches or data breaches that result in the unauthorized disclosure of consumer, customer, employee or Company information, or service interruptions; and other risks and uncertainties indicated from time to time in our filings with the Securities and Exchange Commission ("SEC").

Our actual results could differ materially from the results referred to in any forward-looking statements. Factors that could cause or contribute to such differences include, but are not limited to, the risks discussed in Part I, Item 1A. "Risk Factors," Part II, Item 7. "Management's Discussion and Analysis of Financial Condition and Results of Operations," and other parts of our Annual Report on Form 10-K, filed with the SEC on February 24, 2025, and in our other filings that we may make with the SEC. In light of these risks and uncertainties, there can be no assurance that the results referred to in any forward-looking statements will occur, and you should not place undue reliance on these forward-looking statements. These forward-looking statements speak only as of the date hereof.

We undertake no obligation to update or review any guidance or other forward-looking statements, whether as a result of new information, future developments or otherwise, except as may be required by the U.S. federal securities laws.

Company Contact:

Aneesh Pendharkar
[email protected]
(201) 371-8000

SOURCE: Innodata Inc.

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