Innodata Awarded New Programs from "Magnificent Seven" Big Tech Customer Valued at Approximately $20 Million in Annualized Run Rate Revenue

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Innodata Inc. has been awarded three new large language model (LLM) development programs by one of its existing 'Magnificent Seven' Big Tech customers, leading to approximately $20 million in annualized run rate revenue. The company expects further expansion opportunities in 2024, with positive feedback from the customer on the quality of services provided. This news reflects a strong growth trajectory for Innodata in the data engineering sector.

Positive

• Innodata Inc. has secured three new large language model (LLM) development programs from a 'Magnificent Seven' Big Tech customer, leading to an estimated $20 million in annualized run rate revenue.
• The company anticipates further growth potential in 2024, with positive feedback from the customer regarding the quality of services provided.
• Innodata's focus on scaled data services for fine-tuning LLMs and LLM evaluation services has attracted significant revenue contributions from key customers in 2023, with expectations of continued growth in 2024.

Negative

• None.

Financial Analyst

Innodata's announcement of a $20 million increase in annualized run rate revenue from a major Big Tech client represents a significant uptick, especially considering the base of $23 million from this client. This boost reflects a nearly 87% increase from this single source. Investors should note that such a substantial increase in projected revenue from a top-tier client could suggest that Innodata is deepening its market penetration and strengthening its business relationships. The company's specialization in scaling data services for LLMs appears to be gaining traction—an important metric as AI and LLMs are pivotal in tech innovation. Forward-looking statements about potential further expansions indicate optimism, but it's wise to track actual progress against these forecasts. Meanwhile, the anticipated contract amendment will formalize these revenue expectations, which could be a catalyst for future stock performance. As revenue increases, so could the demand for Innodata services, possibly improving profit margins over time. However, investors should balance this positive outlook with consideration of the risks inherent in customer concentration, particularly when significant revenue is tied to a small group of influential clients.

AI Industry Analyst

The significance of Innodata's expanded partnership with a Big Tech customer lies not just in immediate revenue growth potential but also in the strategic positioning within the AI sector. Large language models are at the core of transformative AI applications and providing fine-tuning and evaluation services for LLMs places Innodata in a rapidly growing niche. The fact that the 'Magnificent Seven'—presumably the largest tech companies—are adopting Innodata's solutions speaks to the efficacy and scalability of their services. Investors should recognize the importance of such industry validation and the potential for Innodata's methods to set a standard in LLM development. While this news bodes well, it is imperative to monitor the execution of these new programs and their impact on the company's overall portfolio. A diverse client base would mitigate risks associated with reliance on a few major clients. Investors should also stay attuned to any shifts in the tech giants' strategies, which could drastically affect Innodata's business prospects.

Market Research Analyst

From a market perspective, securing additional contracts with a member of the 'Magnificent Seven' could indicate an increased market share for Innodata within the LLM service segment. It is essential to contextualize this development within the broader AI industry growth trends. The AI market is expected to expand significantly in the coming years, which means that Innodata's services may see increased demand beyond the immediate scope of these contracts. The key factor for investors to monitor is the company's ability to capitalize on this growth while managing scale and maintaining service quality. The potential for further expansion with other Big Tech clients, as mentioned by Innodata's CEO, could also pave the way for diversification within its high-revenue client base. However, the potential risk of market saturation and increasing competition in the LLM space cannot be overlooked.

NEW YORK, NY / ACCESSWIRE / April 24, 2024 / Innodata Inc. (NASDAQ:INOD), a leading data engineering company, today announced that it has been awarded three new large language model (LLM) development programs by one of its existing "Magnificent Seven" Big Tech customers. Innodata anticipates that the new programs, once ramped up, will together result in approximately $20 million of additional annualized run rate revenue. Prior to the new awards, annualized run rate revenue from the customer was approximately $23 million. Innodata expects that an amendment to its agreement with this customer reflecting these awards will be signed in the next few weeks. Innodata has already begun work on the newly awarded programs.

"We are very excited to announce this significant expansion," stated Jack Abuhoff, Innodata CEO. "Moreover, we anticipate potential opportunities for further expansion in 2024. The customer continues to express how our high-quality, large-scale, custom data results in superior fine-tuning of their LLMs and that their AI engineering teams greatly value the Innodata partnership."

For large technology companies, Innodata provides scaled data services for fine-tuning LLMs, as well as LLM evaluation services. By the end of 2023, Innodata has signed five of the Magnificent Seven as customers for LLM services. Two of the Magnificent Seven, including the customer referred in this release, contributed significantly to revenue in 2023. In Q4-2023, a third Magnificent Seven customer also contributed to growth and Innodata continued ramping up this customer in Q1-2024. In its February 22, 2024 Q4/FY2023 earnings release, Innodata stated that it was optimistic it would grow revenues with these three customers in 2024 and optimistic about making significant inroads with the remaining two of the signed Magnificent Seven customers in 2024.

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 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, and financial condition. Words such as "project," "believe," "expect," "can," "continue," "could," "intend," "may," "should," "will," "anticipate," "indicate," "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 the continuing conflict between Russia and the Ukraine and Hamas' attack against Israel and the ensuing conflict; 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; continuing DDS segment 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; 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, 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 March 4, 2024, 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

Marcia Novero
Innodata Inc.
Mnovero@innodata.com
(201) 371-8015

SOURCE: Innodata Inc.

View the original press release on accesswire.com

FAQ

What new programs has Innodata been awarded by one of its 'Magnificent Seven' Big Tech customers?

Innodata has been awarded three new large language model (LLM) development programs.

How much additional annualized run rate revenue is expected from the new programs?

The new programs are expected to result in approximately $20 million of additional annualized run rate revenue.

What was the annualized run rate revenue from the customer prior to the new awards?

Annualized run rate revenue from the customer was approximately $23 million before the new awards.

Who is the CEO of Innodata Inc.?

Jack Abuhoff is the CEO of Innodata Inc.

What services does Innodata provide for large technology companies?

Innodata provides scaled data services for fine-tuning large language models (LLMs) and LLM evaluation services.

How many of the 'Magnificent Seven' Big Tech customers has Innodata signed as customers for LLM services by the end of 2023?

By the end of 2023, Innodata has signed five of the 'Magnificent Seven' Big Tech customers as customers for LLM services.