Innodata Inc.
24.4.2024 14:44:27 CEST | ACCESS Newswire | Press release
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
To view this piece of content from www.accesswire.com, please give your consent at the top of this page.
About ACCESS Newswire
Subscribe to releases from ACCESS Newswire
Subscribe to all the latest releases from ACCESS Newswire by registering your e-mail address below. You can unsubscribe at any time.
Latest releases from ACCESS Newswire
Clockwork.io Introduces A New Class of Fault Tolerance to End Failure-Driven GPU Waste in AI Training11.3.2026 14:00:00 CET | Press release
New TorchPass solution addresses a multi-million dollar challenge with AI infrastructure; uses Live GPU Migration to keep large-scale AI training running through hardware failures instead of forcing costly restarts PALO ALTO, CA / ACCESS Newswire / March 11, 2026 / Clockwork.io, the leader in Software-Driven AI Fabrics™- a programmable, vendor-neutral software layer that optimizes large-scale GPU clusters for real-time observability, fault tolerance, and deterministic performance-today announced the general availability of TorchPass Workload Fault Tolerance. This new class of software-driven fault-tolerance eliminates one of the most costly failure modes in large-scale AI training: catastrophic job restarts caused by infrastructure faults. Delivered as a core capability of the Clockwork.io FleetIQ™ platform, TorchPass applies the principles of Software-Driven AI Fabrics to distributed training, using Live GPU Migration to allow workloads to continue running through GPU failures, networ
Datavault AI CEO Nathaniel Bradley to Present at Luminary 2026 During Oscars Weekend in Los Angeles11.3.2026 12:00:00 CET | Press release
Datavault AI (Nasdaq:DVLT) Debuts Tokenized Legacy™ Platform and ADIO® Technology at Beverly Center Alongside Scott Page's My Moon Experience, Pink Floyd Live Performance, and Entertainment Industry Luminaries PHILADELPHIA, PA / ACCESS Newswire / March 11, 2026 / Datavault AI Inc. ("Datavault AI" or the "Company") (NASDAQ:DVLT), a provider of data monetization, credentialing, digital engagement, and real‑world asset tokenization technologies, today announced that Chief Executive Officer Nathaniel (Nate) Bradley will deliver a featured presentation at Luminary 2026 - Film, AI, Music and Crypto Innovators, a premier conference taking place Saturday, March 14, 2026, at the Beverly Center (8500 Beverly Blvd, Suite 835, Los Angeles, CA 90048) as part of Oscars Weekend 2026. The Luminary 2026 event is produced by Space Blue/MMF (Dallas Santana) and Hollywood Road Show TV (Chantelle Borelli) and forms the centerpiece of a four-day entertainment and technology activation series running March 1
Context Management Powers Production-Ready AI Analytics at Enterprise Scale11.3.2026 09:00:00 CET | Press release
GoodData delivers governed semantics, grounded knowledge, guided behavior, and full observability for reliable AI analytics. SAN FRANCISCO, CALIFORNIA / ACCESS Newswire / March 11, 2026 / GoodData today introduced Context Management, a governed contextual layer designed to enable production-ready enterprise AI analytics and agents. As organizations deploy AI assistants, copilots, and autonomous agents, they encounter a structural gap: AI lacks enforced business context, governance, and observability. AI pilots demonstrate potential, but moving AI into production exposes the deeper challenge of ensuring answers are consistent, safe, and explainable at scale. Without semantics and traceability, answers shift depending on phrasing. Business rules are applied inconsistently. When outputs change, teams can't explain why. For enterprises, this erodes trust and slows adoption. Many AI analytics platforms rely on prompts, inferred metadata, or loosely integrated document search. Context is sug
Telestream Expands Its Cloud Services with the Introduction of UP11.3.2026 08:05:00 CET | Press release
New cloud-native platform extends Telestream Cloud Services to support Global Ingest, automation, review, and real-time monitoring across hybrid and distributed production environments NEVADA CITY, CA / ACCESS Newswire / March 11, 2026 / Telestream, a global leader in media workflow technologies, today announced the expansion of Telestream Cloud Services with the introduction of UP, a new cloud-native solution designed to support Global Ingest, orchestration, review, and real-time monitoring in modern production environments. With UP, Telestream extends its cloud portfolio beyond high-scale cloud processing and hybrid workflow extension, addressing the growing operational demands of distributed, IP-based media production. As media organizations navigate cost pressures, audience fragmentation, and increasingly distributed production models, cloud adoption has accelerated rapidly but unevenly. Some companies are extending trusted workflows into elastic cloud environments. Others are buil
U.S. Polo Assn. Expands Collegiate Partnership Program to Record 70 Teams for 2026 Season5.3.2026 13:00:00 CET | Press release
WEST PALM BEACH, FLA. / ACCESS Newswire / March 5, 2026 / U.S. Polo Assn., the official sports brand of the United States Polo Association (USPA), proudly announces the continued expansion of its Collegiate Partnership Program (CPP) for the 2026 season and academic year. Now in its eighth consecutive year, the program reaches a historic milestone by supporting 70 collegiate teams across 31 universities nationwide, the largest number of teams ever participating in the program.U.S. Polo Assn.'s Collegiate Partnership Program featuring the California Polytechnic State University Women's and Men's Polo Teams Photo Credit: California Polytechnic State University Polo Teams U.S. Polo Assn. will outfit hundreds of student-athletes from coast to coast, including small private and large public institutions, Ivy League Universities, and Historically Black Colleges and Universities (HBCUs). The CPP supports 35 women's and 35 men's teams, reinforcing U.S. Polo Assn.'s long-standing commitment to g
In our pressroom you can read all our latest releases, find our press contacts, images, documents and other relevant information about us.
Visit our pressroom
