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RCS - Innodata Inc. - Innodata Unveils GenAI Platform with NVIDIA NIM™

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RNS Number : 1951B  Innodata Inc.  19 March 2025

Innodata Unveils Generative AI Test and Evaluation Platform, Built with NVIDIA
Technology

Live Demonstrations at NVIDIA GTC 2025 to Showcase Advanced Adversarial
Testing & Vulnerability Evaluation

NEW YORK, NY / ACCESS Newswire (https://www.accessnewswire.com/)  / March
19, 2025 / INNODATA INC. (Nasdaq:INOD), a leading data engineering company,
today announced the beta launch of its Generative AI Test & Evaluation
Platform, designed to enhance the safety, reliability, and performance of
enterprise AI models. The platform, powered by NVIDIA advanced inferencing
technology, will be showcased at GTC 2025, the premier AI developer
conference, taking place March 17-21 in San Jose, California.

Built for enterprises seeking robust AI risk mitigation and performance
optimization, Innodata's new platform delivers automated adversarial testing,
vulnerability detection, and model benchmarking to strengthen generative AI
deployments at scale. With its full release planned for Q2 2025, the platform
is set to empower companies to secure AI models, mitigate risks, and optimize
performance across the entire model lifecycle.

Powering Safer and More Reliable Generative AI

The platform integrates high-performance NVIDIA NIM™ microservices
(https://pr.report/8fib)  with Innodata's expertise in LLM red-teaming and
risk mitigation, enabling businesses to accelerate model development and
enhance AI trustworthiness. By identifying weaknesses and providing real-time
safety insights, the platform helps enterprises deploy generative AI solutions
safely and reliably.

Deploying Generative AI with Confidence

MasterClass (https://pr.report/8fic) , the online learning platform, has been
an early adopter charter customer, with plans to leverage the platform to gain
confidence that their generative AI investments are delivering reliable and
secure customer experiences. Jack Abuhoff, CEO of Innodata, said, "We believe
the key to generative AI shifting from development to production will be
arming enterprises with the tools they need to monitor model integrity and
performance, and our platform can be an important contributor to meeting these
goals."

Key platform features include:

·      Adversarial Testing: Identifies vulnerabilities by exposing
models to comprehensive risk vectors and edge-case scenarios.

·      Model Benchmarking: Utilizes pre-built, domain-specific prompt
libraries to help teams select the ideal model for their specific use case and
safety requirements.

·      Advanced Reporting & Metrics: Provides deep insights into
model accuracy, hallucination detection, bias mitigation, and version
performance tracking via a powerful dashboard.

See It in Action at GTC 2025

Experience live demonstrations of the Generative AI Test & Evaluation
Platform at Innodata's booth (#3248) in the Generative AI Pavilion at GTC
2025.

Not attending GTC? Schedule a demo here (https://pr.report/8fid)  or
visit www.innodata.com (https://pr.report/8fie)  to learn more.

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.

Visit www.innodata.com (https://pr.report/8fif)  to learn more.

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, including between Russia and Ukraine, Hamas'
attack against Israel and the ensuing conflict and increased hostilities
between Hezbollah and Israel and Iran and Israel; 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; the Company's 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. 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.

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 Securities and Exchange
Commission on February 24, 2025, as updated or amended by our other filings
that we may make with the Securities and Exchange Commission. In light of
these risks and uncertainties, there can be no assurance that the results
referred to in the 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

Jelena Sutovic

Innodata Inc.

investor@innodata.com

(201) 371-8024

SOURCE: Innodata Inc.

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