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Innodata - INOD STOCK NEWS

Welcome to our dedicated page for Innodata news (Ticker: INOD), a resource for investors and traders seeking the latest updates and insights on Innodata stock.

Overview

Innodata (NASDAQ: INOD) is a global data engineering company that has been harnessing the power of digital data for over three decades. With a technology-first approach, Innodata delivers AI-enabled software platforms and managed services that drive digital transformation and operational excellence for a wide range of industries worldwide. The company is noted for its innovative application of advanced technologies to solve complex business challenges and help clients re-imagine their operations using high-quality, customized data solutions.

Core Business Areas

At the heart of Innodata’s operations is a commitment to enabling organizations to unlock the potential of their digital data. The company’s business segments are carefully structured to address every facet of the data lifecycle:

  • Digital Data Solutions (DDS): This segment focuses on AI data preparation, including the collection, creation, annotation, and training of AI algorithms. It serves as a critical enabler for enterprises looking to deploy advanced machine learning models, ensuring that data is clean, well-curated, and optimized for use in digital processes.
  • Synodex: A suite of data engineering support services designed to handle data transformation processes such as data consolidation, extraction, and compliance. Synodex is engineered to streamline data management tasks providing businesses with reliable, integrated insights into their information streams.
  • Agility: An industry-specific platform championing digital transformation through AI-driven solutions for public relations, media intelligence, and targeted communications. By leveraging generative AI technology, Agility refines media monitoring and analysis to deliver customized news briefs, enhancing decision-making for communication professionals.

Market Position and Competitive Differentiation

Innodata distinguishes itself through a potent combination of legacy expertise and innovative technological practices. The company’s low-code AI platform serves as a backbone for its services, enabling rapid deployment and ease-of-integration. This is especially significant in today’s fast-paced AI and digital transformation markets, where high-quality, scalable data services are in constant demand. Innodata’s deep industry knowledge is reflected in its ability to deliver complex, custom solutions tailored to the unique needs of sectors such as publishing, financial services, digital retail, and government operations. Rather than simply being a technology provider, the firm acts as a strategic partner that helps its clients unlock the value of their data assets while boosting operational efficiency and decision-making capabilities.

Service Model and Revenue Generation

The company operates on a business model that leverages both direct sales and long-term managed service contracts. Revenue is generated primarily through the delivery of AI data collection and annotation services, software licensing of its proprietary low-code platform, and tailored consulting engagements that support AI integrations. By focusing on long-term, strategic partnerships, Innodata minimizes the risk of transactional volatility and ensures repeatable and scalable service delivery for its global clientele.

Industry Expertise and Technological Innovation

Innodata’s commitment to technological innovation is evident in its continuous investments in state-of-the-art AI, machine learning, and data management technologies. By integrating large language model (LLM) development programs and advanced generative AI capabilities into its service offerings, the company stays at the forefront of industry evolution. This approach not only improves the quality of its data solutions but also enhances its ability to support the digital transformation initiatives of major technology companies and enterprises alike.

Client and Market Reach

Serving diverse industries—ranging from media and information to banking, insurance, public sector, and digital retail—Innodata has built a robust portfolio of prestigious clients. The company’s solutions empower organizations to harness digital data effectively, driving enhanced performance, streamlined operations, and improved decision-making processes. Its cross-sector expertise underpins the trust placed in Innodata as a reliable partner capable of delivering consistent value regardless of market dynamics.

Commitment to Quality and Service Excellence

Quality and reliability are at the core of Innodata’s operational ethos. The company’s legacy of over 30 years is testament to its unwavering commitment to delivering high-caliber data solutions. With an emphasis on customized service delivery and responsive client support, Innodata cultivates long-term relationships that underscore its reputation for excellence in the highly competitive landscape of digital transformation and AI services.

Conclusion

In summary, Innodata stands as a robust example of a data engineering enterprise that seamlessly integrates advanced AI technologies with tailored digital data solutions. Its diversified business segments, deep industry insights, and commitment to quality make it a pivotal player in helping organizations around the globe unlock the transformative potential of digital data. For investors and industry analysts seeking a thorough understanding of a company that is integral to the evolution of digital intelligence and AI-driven innovation, Innodata offers a well-rounded narrative of technological excellence and enduring market relevance.

Rhea-AI Summary
Innodata Inc. (NASDAQ:INOD) will participate in three upcoming investor conferences: the 15th Annual BWS Financial Growth and Value Summer Investor Series on August 17, the H.C. Wainwright 25th Annual Global Investment Conference on September 11-13, and the Mizuho Software Conference: AI in Focus on September 27. CEO Jack Abuhoff will host one-on-one meetings and make a presentation at these events. Investors can request a meeting through their sales representative or contact Marcia Novero at mnovero@innodata.com.
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Innodata Inc. reports Q2 results, revenue of $19.7 million, net loss of $0.8 million. Company lands four transformative deals with top tech companies. CEO expects potential quarterly revenue of $12 million from new deal. Analyst projects generative AI market to reach $85.9 billion by 2032. Innodata aims to exploit enterprise opportunity with competitive advantages. Q2 revenue growth would have been 13% without revenue from large social media company.
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Innodata Inc. announced the development of generative AI training datasets for a current customer, with the potential to generate over $8 million in revenue in 2023. The company also mentioned positive progress in two other generative AI deals with new customers.
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Innodata Inc. will report First Quarter 2023 results on May 11, 2023. An investor conference call is scheduled for the same day at 5:00 PM eastern time. Call-in numbers and webcast details are provided.
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Innodata Inc. (NASDAQ: INOD) has announced its 2023 annual meeting of shareholders will take place on June 8, 2023, at 5:00 PM ET, in a virtual format. Shareholders recorded as of the close of business on April 12, 2023, will have the opportunity to vote. Innodata is a data engineering firm providing AI-enabled software and managed services, focusing on AI data collection and digital transformation, backed by over 30 years of experience.

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FAQ

What is the current stock price of Innodata (INOD)?

The current stock price of Innodata (INOD) is $37.11 as of April 9, 2025.

What is the market cap of Innodata (INOD)?

The market cap of Innodata (INOD) is approximately 1.1B.

What is the core business of Innodata?

Innodata is a global data engineering company that delivers AI-enabled software platforms and managed services to drive digital transformation and operational excellence.

Which business segments does Innodata operate in?

Innodata operates across three main segments: Digital Data Solutions, Synodex for data engineering support, and Agility, a platform for AI-driven media and communications solutions.

How does Innodata generate revenue?

Revenue is generated through managed services, licensing of its low-code AI platform, and long-term contracts involving AI data collection, annotation, and digital transformation consulting.

What sets Innodata apart from its competitors?

Innodata distinguishes itself with a strong legacy of technological expertise, a technology-first approach, advanced AI and generative AI implementations, and a focus on delivering high-quality, customized data solutions.

Who are the typical clients of Innodata?

Its clientele includes prestigious enterprises across diverse sectors such as publishing, media, digital retail, banking, insurance, and government agencies, all seeking robust digital data solutions.

How does Innodata support the integration of AI into business operations?

Innodata offers an end-to-end platform that covers AI data collection, annotation, digital transformation, and the deployment of AI models, enabling companies to enhance operational efficiency with advanced technology.
Innodata

Nasdaq:INOD

INOD Rankings

INOD Stock Data

1.06B
29.86M
4.4%
49.75%
12.37%
Information Technology Services
Services-computer Processing & Data Preparation
Link
United States
RIDGEFIELD PARK