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Innodata Stock Price, News & Analysis

INOD NASDAQ

Company Description

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.

Stock Performance

$—
0.00%
0.00
Last updated:
491.79 %
Performance 1 year
$1.1B
Market Cap
31.3M
Shares outstanding

SEC Filings

No SEC filings available for Innodata.

Financial Highlights

$170,461,000
Revenue (TTM)
$28,675,000
Net Income (TTM)
$0.89
Diluted EPS (TTM)
$35,015,000
Operating Cash Flow
16.82%
Net Profit Margin
14.28%
Oper. Profit Margin

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Frequently Asked Questions

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

The current stock price of Innodata (INOD) is $37.46 as of April 24, 2025.

What is the market cap of Innodata (INOD)?

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

What is the revenue (TTM) of Innodata (INOD) stock?

The trailing twelve months (TTM) revenue of Innodata (INOD) is $170,461,000.

What is the net income of Innodata (INOD)?

The trailing twelve months (TTM) net income of Innodata (INOD) is $28,675,000.

What is the earnings per share (EPS) of Innodata (INOD)?

The diluted earnings per share (EPS) of Innodata (INOD) is $0.89 on a trailing twelve months (TTM) basis.

What is the operating cash flow of Innodata (INOD)?

The operating cash flow of Innodata (INOD) is $35,015,000.

What is the profit margin of Innodata (INOD)?

The net profit margin of Innodata (INOD) is 16.82%.

What is the operating margin of Innodata (INOD)?

The operating profit margin of Innodata (INOD) is 14.28%.

What is the gross margin of Innodata (INOD)?

The gross profit margin of Innodata (INOD) is 39.35%.

What is the current ratio of Innodata (INOD)?

The current ratio of Innodata (INOD) is 2.05, indicating the company's ability to pay short-term obligations.

What is the gross profit of Innodata (INOD)?

The gross profit of Innodata (INOD) is $67,074,000 on a trailing twelve months (TTM) basis.

What is the operating income of Innodata (INOD)?

The operating income of Innodata (INOD) is $24,336,000.

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.