1. It's like a specialized **Accenture** for AI, helping companies prepare, clean, and transform vast amounts of data to train AI and machine learning models.

2. For its Agility segment, it's like **Cision** or **Meltwater**, providing a platform for public relations and marketing professionals to manage media relations, distribute content, and monitor news.

• AI Data Engineering and Transformation Services: Innodata provides AI-enabled software platforms and managed services for data annotation, transformation, curation, and master data management, essential for training AI/ML algorithms and digital transformation.
• Synodex Platform: This industry platform specializes in transforming complex medical records into usable digital data using proprietary or client-defined data models.
• Agility Platform: An industry platform designed for marketing communications and public relations professionals to target influencers, distribute content, and monitor global news and social media.

Major Customers of Innodata Inc. (INOD)

Innodata Inc. (INOD) primarily sells its AI-enabled software platforms, managed services, and industry-specific platforms to other companies (B2B) rather than individuals. The company serves clients across a range of major industries and sectors:

• Banking sector
• Insurance sector
• Financial services sector
• Technology sector
• Digital retailing sector
• Information/media sector

The provided background information describes the types of industries and sectors Innodata serves but does not disclose the specific names of its customer companies.

Jack Abuhoff, Chief Executive Officer and Chairman of the Board

Jack Abuhoff is the co-founder of Innodata and has served as its President and Chief Executive Officer since September 1997, as well as a director since the company's founding in 1988. From 1995 to 1997, he was the Chief Operating Officer of Charles River Corporation, an international systems integration and outsourcing firm. He was also employed by Chadbourne & Parke and involved in Sino-American technology joint ventures with Goldman Sachs from 1992 to 1994. Earlier in his career, he practiced international corporate law with White & Case from 1986 to 1992. He holds an A.B. from Columbia College and a J.D. from Harvard Law School.

Marissa (Mariz) Espineli, Interim Chief Financial Officer and Principal Accounting Officer

Marissa Espineli was appointed Interim Chief Financial Officer on March 16, 2022. She has served as Innodata's Vice President of Finance since 2012, and previously as Corporate Controller. Before joining Innodata, she held significant finance roles at large U.S.-based companies in the consumer goods, food & beverages, and industrial products sectors. She began her career in public accounting as a Senior Auditor, specializing in taxation and financial audits. Ms. Espineli holds a Bachelor of Science in Business Administration with a focus on Finance and Accounting and is a Certified Public Accountant.

Rahul Singhal, President and Chief Revenue Officer

Rahul Singhal was promoted to President and Chief Revenue Officer in November 2025. Prior to this, he held the positions of Chief Product Officer (since January 2019) and Chief Revenue Officer (since January 2022) at Innodata, where he was responsible for defining the company's product strategy, roadmap, and go-to-market execution across its AI, data engineering, and digital transformation businesses. Before joining Innodata in 2019, Mr. Singhal spent over a decade at IBM in various leadership roles, culminating in his position as Program Director for IBM Watson Platform APIs. He also served as Chief Product Officer at Equals3.AI, an AI-powered knowledge management platform, and as an Adjunct Professor in New York City. He holds a Bachelor of Engineering in mechanical engineering and an MBA.

Amy Agress, General Counsel

As General Counsel, Amy Agress is responsible for overseeing Innodata's global legal functions, providing advice to the board and management, ensuring regulatory compliance, and contributing to the development of business strategy from a legal perspective. She possesses over thirty years of experience in general corporate legal matters. Before her tenure at Innodata, she worked as an associate at a general practice law firm in New York City. Ms. Agress earned a Bachelor of Arts in History from New York University and a Juris Doctor from Fordham University School of Law.

AK Mishra, Chief Operating Officer

AK Mishra is responsible for leading Innodata's high-performing scaled data operations across more than 20 global delivery locations. He has implemented innovative approaches, emphasizing hybrid human/machine workflows to achieve continuous improvement. Prior to joining Innodata, Mr. Mishra held senior-level positions at a prominent telecom manufacturer and various management roles in production, planning, processes, and quality. He holds a Bachelor of Technology in Mechanical Engineering and completed a condensed Master of Business Administration program.

The key risks to Innodata's business operations are primarily centered around its customer relationships, the highly competitive nature of the AI and data engineering market, and challenges related to maintaining profitability and scalability.

1. Customer Concentration Risk: Innodata exhibits a significant reliance on a limited number of clients, particularly within its Digital Data Solutions (DDS) segment. In 2025, one customer alone accounted for approximately 58% of the company's total revenues, a figure that was even higher in some previous quarters. This heavy client concentration creates a substantial vulnerability, as the loss or reduction of business from such a major client could have a material adverse effect on Innodata's revenue stream, financial results, and overall stability. Many of these contracts are project-based and terminable on short notice, typically 30 to 90 days, which further exacerbates this risk.
2. Intense Competition and Rapid Technological Change: Innodata operates in a highly dynamic and competitive market for AI and data engineering services. Numerous players, including large technology firms that may choose to bring data operations in-house, are vying for market share. This intense competition can lead to pricing pressures, reduced profit margins, and a continuous need for significant investment in technology and innovation to maintain a competitive edge. Furthermore, the rapid pace of technological advancements in artificial intelligence could potentially render Innodata's current offerings obsolete if the company fails to adapt quickly and effectively.
3. Margin Pressure and Scalability Challenges: Despite experiencing impressive revenue growth, particularly driven by demand for its AI data services, Innodata faces challenges regarding margin expansion and the scalability of its operations. The company's business model, which is often service-based and human-intensive, can limit its ability to achieve significant economies of scale. Analysts have noted that profitability has not always scaled at the same rate as sales, and Innodata's gross margins are generally lower compared to the industry average. The necessity for ongoing, heavy investment to keep pace with industry demands and expand its client base could further pressure margins if anticipated AI demand or contract expansions do not materialize as planned.

The rapid advancements in generative artificial intelligence (AI) and large language models (LLMs) pose an emerging threat to Innodata's business model. These technologies are increasingly capable of automating core functions provided by Innodata's Digital Data Solutions (DDS) and Synodex segments, such as data annotation, transformation, curation, and the extraction of structured information from complex unstructured documents like medical records. As AI becomes more proficient and cost-effective in performing these tasks, the demand for human-assisted services and specialized platforms in these areas, which form a significant part of Innodata's offerings, could diminish. Furthermore, for the Agility segment, generative AI could automate aspects of content creation, personalized outreach, and advanced media monitoring, potentially reducing the reliance on Agility's platform for marketing communications and public relations professionals.

Innodata Inc. - Addressable Market Sizes

Digital Data Solutions (DDS) Segment

• The global data annotation service market, which provides structured labeling, tagging, and classification of raw data for AI and machine learning models, was valued at approximately USD 4.73 billion in 2025 and is projected to grow to USD 7.37 billion by 2034.
• The global AI training dataset market, closely related to data for training AI and ML algorithms, was valued at USD 3.59 billion in 2025 and is projected to reach USD 23.18 billion by 2034.
• The global artificial intelligence (AI) in digital transformation market, encompassing solutions to help companies apply AI/ML for analyzing and deriving insights from documents, was valued at USD 424.75 billion in 2025 and is projected to reach USD 1,677.29 billion by 2030.

Synodex Segment

• The global electronic medical records (EMR) market, which involves transforming medical records into usable digital data, was valued at USD 34.5 billion in 2025 and is estimated to grow to USD 46.34 billion by 2031.
• The global healthcare data technology market, which includes data integration, interoperability, and AI-driven transformation within healthcare, was estimated at USD 3.10 billion in 2024 and is projected to reach USD 9.5 billion by 2033.

Agility Segment

• The global public relations (PR) tools market, which assists professionals in targeting and distributing content, was valued at USD 12.7 billion in 2024 and is estimated to reach USD 28.9 billion by 2033.
• The global media monitoring tools market, providing solutions to monitor and analyze global news channels and social media, was valued at USD 5.7 billion in 2025 and is estimated to reach USD 13.8 billion by 2034.

Innodata Inc. (INOD) is strategically positioned for future revenue growth over the next 2-3 years, primarily driven by its robust involvement in the evolving artificial intelligence (AI) ecosystem and expanding customer engagements.

Here are the key expected drivers of future revenue growth:

1. Accelerated Demand for AI-Focused Data Solutions (DDS Segment): The Digital Data Solutions (DDS) segment is the primary growth engine for Innodata. The company anticipates continued strong demand for its AI-enabled software platforms and managed services, particularly for training generative AI, advanced machine learning (ML) algorithms, agentic AI, and physical AI. This segment's expansion reflects higher demand for Innodata's data engineering capabilities.
2. Expansion with Major Technology and Enterprise Customers: Innodata is focused on deepening its relationships with existing large technology clients, including contracts with five of the "Magnificent Seven" tech giants, while also securing new enterprise customers. The company expects increased spending from its largest customers and anticipates that aggregate growth from its broader customer base will meaningfully contribute to customer diversification. This strategy, often described as "land and expand," is validated by strong project wins and a robust pipeline.
3. Innovation in "Smart Data," Trust & Safety, and Hybrid AI Solutions: Innodata is pivoting towards a "smart data" strategy that involves analyzing model deficiencies and prescribing precise datasets to enhance factuality, safety, and reasoning. The company is also developing capabilities around trust and safety for large language model (LLM) evaluation and is investing in a hybrid AI model that combines human expertise with automation and proprietary evaluation platforms to improve operating leverage and deliver measurable improvements in model outcomes. This includes new data engineering solutions for AI model training, autonomous agents, and robotics.
4. Growth in the Agility and Federal Segments: The Agility segment, which provides marketing communications and public relations platforms, is expected to continue its growth trajectory, with aspirations for 15-20% annual growth, driven by higher subscription volumes and the integration of AI features. Additionally, Innodata is making inroads into the federal sector, including a notable $25 million contract, and expects it to become a longer-term contributor to revenue as federal investments in technology increase.

Capital Allocation Decisions (2021-2025)

Share Issuance

• Innodata's diluted weighted average shares outstanding increased from 32.177 million in 2024 to 35.025 million in 2025.

Capital Expenditures

• Capital expenditures for the year ended December 31, 2025, were $11.104 million, an increase from $7.741 million in 2024.
• For the three months ended March 31, 2025, capital expenditures were $2.4 million, primarily allocated to the Digital Data Solutions ($1.5 million), Agility ($0.6 million), and Synodex ($0.3 million) segments.
• These expenditures were principally for the purchase of technology equipment, including servers, network infrastructure, workstations, and capitalized developed software.
• For the 12 months following March 31, 2025, anticipated capital expenditures for capitalized developed software and technology, equipment, and infrastructure upgrades are projected to be approximately $11.0 million.