INOD heads into Q4 after record AI-fueled growth, but a projected EPS decline and premium valuation keep investors cautious ahead of results.
The artificial intelligence boom has created distinct investment avenues — from foundational data engineering to mission-critical AI platforms for national security. Innodata INOD and BigBear.ai BBAI represent two compelling, yet fundamentally different ways to participate in this trend.
Innodata Inc.'s INOD relationship with Big Tech is entering a new phase — one defined not just by wins, but by expansion. The company is deepening its role in the AI ecosystem as Big Tech customers expand spending on training, evaluation and next-generation model capabilities.
| IT Services Industry | Information Technology Sector | Jack S. Abuhoff CEO | XSTU Exchange | US4576422053 ISIN |
| US Country | 6,597 Employees | - Last Dividend | 26 Mar 2001 Last Split | 10 Aug 1993 IPO Date |
Innodata Inc. is recognized as a leading global data engineering company that offers a broad spectrum of services and solutions in the field of artificial intelligence (AI) and data processing. With operations spanning across key global markets, including the United States, the United Kingdom, the Netherlands, Canada, and various international territories, Innodata has established a strong presence in the data engineering domain. The company, which initiated its operations in 1988 and is headquartered in Ridgefield Park, New Jersey, has undergone a significant transformation, rebranding itself from Innodata Isogen, Inc. to Innodata Inc. in June 2012. Structured around three primary segments—Digital Data Solutions (DDS), Synodex, and Agility—Innodata Inc. caters to a diverse clientele across banking, insurance, financial services, technology, digital retailing, and information/media sectors. The company's comprehensive approach encompasses a bespoke blend of professional staff, senior management, and dedicated direct sales personnel, aiming to deliver unparalleled data engineering and AI solutions.
Innodata Inc. offers a diverse range of services and solutions across its three operational segments, each tailored to meet the complex needs of its clients in today's data-driven landscape: