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

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Innodata (Nasdaq:INOD) said it was selected by Palantir Technologies to provide specialized annotation, multimodal data engineering, and generative-AI workflow support for rodeo event analytics. Innodata will process thousands of hours of rodeo video and multimodal sensor data to enable computer vision models that detect animals, riders, and skeleton joints.

The engagement embeds Innodata teams within Palantir development and deployment workflows, emphasizing scale, precision, and security for customer use cases and reinforcing Innodata's role as a trusted data engineering partner.

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Positive

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News Market Reaction

+14.36% 3.1x vol
103 alerts
+14.36% News Effect
+11.6% Peak Tracked
-6.6% Trough Tracked
+$260M Valuation Impact
$2.07B Market Cap
3.1x Rel. Volume

On the day this news was published, INOD gained 14.36%, reflecting a significant positive market reaction. Argus tracked a peak move of +11.6% during that session. Argus tracked a trough of -6.6% from its starting point during tracking. Our momentum scanner triggered 103 alerts that day, indicating very high trading interest and price volatility. This price movement added approximately $260M to the company's valuation, bringing the market cap to $2.07B at that time. Trading volume was very high at 3.1x the daily average, suggesting strong buying interest.

Data tracked by StockTitan Argus on the day of publication.

Market Reality Check

Price: $47.59 Vol: Volume 1,115,757 vs 20-da...
normal vol
$47.59 Last Close
Volume Volume 1,115,757 vs 20-day average 1,201,613, indicating trading near typical levels. normal
Technical Shares at $55.84 are trading above the 200-day MA $53.36 despite a recent pullback.

Peers on Argus

Several peers in Information Technology Services are also down today (e.g., BBAI...

Several peers in Information Technology Services are also down today (e.g., BBAI -4.45%, NABL -3.61%), but momentum scanners did not flag a coordinated sector move, suggesting the reaction to this AI partnership is more stock-specific.

Common Catalyst AI-related positioning appears in at least one peer headline, but only one peer shows same-day AI news.

Previous AI Reports

3 past events · Latest: Nov 06 (Positive)
Same Type Pattern 3 events
Date Event Sentiment Move Catalyst
Nov 06 Federal AI launch Positive -5.9% Launch of Innodata Federal unit to scale AI across U.S. government agencies.
Mar 18 AI platform launch Positive +6.2% Beta release of NVIDIA-powered Generative AI Test & Evaluation Platform.
Mar 26 AI feature release Positive -0.7% Introduction of AI-powered media intelligence feature Intelligent Insights(TM).
Pattern Detected

AI-related announcements have produced mixed reactions: one notable positive move and two mild to moderate declines, indicating inconsistent price follow-through on AI news.

Recent Company History

Over the past two years, Innodata has repeatedly highlighted AI-focused initiatives. Prior AI-tagged news included the launch of Innodata Federal on November 6, 2025 with U.S. government AI programs, a beta Generative AI Test & Evaluation Platform announced March 18, 2025, and an AI-powered media intelligence feature on March 26, 2024. Market reactions to these AI updates ranged from a +6.16% gain to modest declines, suggesting that investors have responded variably to similar AI developments.

Historical Comparison

AI
+4.2 %
Average Historical Move
Historical Analysis

Recent AI-tagged releases for INOD have averaged a 4.23% absolute move, with both positive and negative reactions, indicating that AI announcements often trigger but do not guarantee sizable swings.

Typical Pattern

AI news has evolved from product launches and media intelligence tools to federal-focused solutions, and now to supporting large-scale AI deployments with partners like Palantir.

Market Pulse Summary

The stock surged +14.4% in the session following this news. A strong positive reaction aligns with I...
Analysis

The stock surged +14.4% in the session following this news. A strong positive reaction aligns with Innodata’s pattern of occasional sharp moves on AI news, where prior AI-tagged events saw absolute changes around 4.23%. The Palantir collaboration underscores its role in high-end AI data engineering. However, investors have historically shown inconsistent follow-through on AI announcements, so attention often shifts quickly to execution, contract depth, and subsequent customer wins when assessing durability of gains.

Key Terms

computer vision, geospatial analytics, multimodal, generative-ai
4 terms
computer vision technical
"This work enables computer vision models to detect animals, riders, and skeleton joints"
Computer vision is technology that gives machines the ability to 'see' and make sense of images or video, turning pixels into usable information like object counts, measurements, or activity patterns. For investors, it matters because it enables automation, cost reduction and new product features across industries—from quality checks on factory lines to retail analytics—so companies that adopt effective computer vision can boost efficiency, reduce labor needs and create competitive advantages.
geospatial analytics technical
"from computer vision and geospatial analytics to secure, model-driven decision systems"
Geospatial analytics uses location-based data and maps from sources like satellites, GPS and mobile devices to reveal patterns and relationships across physical space, such as customer clusters, transportation flows or resource locations. Investors use it to assess market potential, site selection, competitive positioning and supply-chain or environmental risks — like reading a heat map that turns scattered dots into clear signals about where revenue and costs will likely concentrate.
multimodal technical
"specialized annotation, multimodal data engineering, and generative-AI workflow support"
Multimodal describes an approach, product, or system that uses two or more different types of inputs, methods, or channels — for example combining text, images and audio in a technology product, or blending drugs, devices and therapy in medical care. For investors, multimodal solutions can broaden market reach and competitive differentiation but also add development cost, operational complexity and regulatory hurdles; think of it like a hybrid car that offers more capabilities but requires more parts and oversight.
generative-ai technical
"specialized annotation, multimodal data engineering, and generative-AI workflow support for select"
Generative AI is software that creates new content — such as written text, images, audio or code — by learning patterns from large amounts of existing data. For investors, it matters because it can drive faster product development, lower costs and open new revenue streams, while also changing competitive dynamics and introducing risks like quality issues, higher computing costs, and regulatory or ethical scrutiny.

AI-generated analysis. Not financial advice.

Innodata's data engineering and annotation capabilities support Palantir's expanding AI platform deployments for event analytics

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
investor@innodata.com
(201) 371-8000

SOURCE: Innodata Inc.



View the original press release on ACCESS Newswire

FAQ

What did Innodata (INOD) announce with Palantir on January 29, 2026?

Innodata announced a selection by Palantir to provide annotation and data engineering for rodeo analytics. According to Innodata, the work covers thousands of hours of video and multimodal data to train computer vision models for events like bull riding and barrel racing.

How will Innodata's services support Palantir's rodeo AI platforms for INOD shareholders?

Innodata will supply training data and generative-AI workflow support integrated into Palantir systems. According to Innodata, teams will process video, imagery, documents, and sensor data to enable automated performance metrics for rodeo event analysis.

What specific capabilities will Innodata provide to Palantir under the INOD agreement?

Innodata will deliver specialized annotation, multimodal data engineering, and generative-AI workflow enablement. According to Innodata, these capabilities include detecting animals, riders, and skeleton joints from thousands of hours of rodeo footage.

Does Innodata say how the work will be integrated into Palantir's workflows for INOD investors?

Yes. Innodata states its teams will work directly within Palantir development and deployment workflows. According to Innodata, this integration is designed to meet the scale, precision, and security standards required by customers.

What is the strategic significance of the Palantir engagement for Innodata (INOD)?

The engagement positions Innodata as a data engineering partner to leading AI firms and validates prior investments in annotation and workflows. According to Innodata, the work underscores demand for high-quality, secure data services in enterprise AI deployments.
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