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Leading Hyperscale Cloud Platform Selects Innodata to Provide Large Language Model Fine-Tuning and AI Data Annotation for its Cloud Customers

NEW YORK, NY / ACCESSWIRE / June 27, 2023 / Innodata Inc. (NASDAQ:INOD), a leading data engineering company, today announced that one of the world's largest cloud infrastructure and platform services companies has selected Innodata to perform AI large language model (LLM) fine-tuning and AI data annotation as a white-labeled service for its cloud and platform customers. Innodata anticipates kicking off the service with three of the cloud provider's customers next month.

"We believe this is a unique opportunity to drive distribution and scale, and we expect significant expansion beyond the initial three customers announced today," said Jack Abuhoff, Innodata Chief Executive Officer. "We are excited to have been chosen for this role, building on the trust we have earned over the past 18 months working with the cloud provider on its internal AI initiatives."

Abuhoff concluded, "The business opportunity we are announcing today is in addition to the deals we referred to in our June 14 press release."

Innodata helps companies architect AI/LLM-based solutions, fine-tune LLMs using their industry or company data, align the models to preferences regarding accuracy, helpfulness, and harmlessness, and identify vulnerabilities. Innodata supports text-to-text, as well as text-to-code, text-to-image, and text-to-video language models.

Hyperscale cloud companies provide the compute infrastructure and platforms required for foundation models and enterprise LLMs, as well as related "ecosystem" offerings that help their customers accelerate and scale AI/LLM initiatives.

Learn more about Innodata's AI data collection services here and stay up to date on recent Innodata news here.

About Innodata

Innodata (NASDAQ:INOD) is a global data engineering company delivering the promise of AI to many of the world's most prestigious companies. We provide AI-enabled software platforms and managed services for AI data collection/annotation, AI digital transformation, and industry-specific business processes. Our low-code Innodata AI technology platform is at the core of our offerings. In every relationship, we honor our 30+ year legacy delivering the highest quality data and outstanding service to our customers. Visit www.innodata.com to learn more.

Forward-Looking Statements

This press release may contain 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. Words such as "project," "believe," "expect," "can," "continue," "could," "intend," "may," "should," "will," "anticipate," "indicate," "forecast," "predict," "likely," "goals," "estimate," "plan," "potential," "promises," or the negatives thereof and other similar expressions generally identify forward-looking statements, which speak only as of the date hereof.

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, the expected or potential effects of the novel coronavirus ("COVID-19") pandemic and the responses of governments, the general global population, our customers, and the Company thereto; impacts resulting from the rapidly evolving conflict between Russia and the Ukraine; 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; 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; the likelihood of continued development of the markets, particularly new and emerging markets, that our services support; continuing DDS segment revenue concentration in a limited number of customers; potential inability to replace projects that are completed, canceled or reduced; our dependency on content providers in our Agility segment; difficulty in integrating and deriving synergies from acquisitions, joint venture 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 ability and willingness of our customers and prospective customers to execute business plans that give rise to requirements for our services; 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 forward-looking statements. Factors that could cause or contribute to such differences include, but are not limited to, uncertainty around the COVID-19 pandemic and the effects of the global response thereto and 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, 2023, 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 Federal securities laws.

Company Contact:
Marcia Novero
mnovero@innodata.com
201-371-8015

SOURCE: Innodata Inc.



View source version on accesswire.com:
https://www.accesswire.com/763808/Leading-Hyperscale-Cloud-Platform-Selects-Innodata-to-Provide-Large-Language-Model-Fine-Tuning-and-AI-Data-Annotation-for-its-Cloud-Customers

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