Innodata

INOD

Market cap $1.99B

Innodata Inc. INOD has been one of the stronger performers in the small-cap AI services space over the past month. The stock has rallied 24.5%, far outpacing the Zacks Technology Services industry's 2.8% gain and the S&P 500's 2.8% increase.

Innodata's revenue jumped in the first half of the year. It launched a new federal practice.

INOD's early lead in agentic AI evaluation may fuel 2026 growth as enterprises demand safer, scalable AI systems.

23,654 shares were net sold for a transaction value of ~$1.4 million on Dec. 4, 2025, at around $60.16 per share. This sale represented 28% of Ashok Mishra's direct holdings, reducing his position to 60,000 shares post-transaction.

BWS Financial made Innodata one of its top picks for 2026. The investment firm placed a $110 price target on the stock, implying nearly 80% upside.

For investors bearish on artificial intelligence, watching the market action in 2025 had to feel like watching a zombie apocalypse movie. There were so many moments this year when it seemed the AI bull market was cooked, only to rise again like the undead and move forward with its insatiable thirst for more capital.

INOD's push into pretraining data is reshaping its strategy, unlocking tens of millions in contracts and positioning the firm closer to AI model builders' core needs.

Wall Street is ending 2026 on a generally positive note, with the benchmark S&P 500 Index set to finish the year at a 17% return rate. All eyes are now on technology titans like Nvidia, Microsoft, Alphabet, and Amazon, which have dominated the headlines in 2025, and for good reason.

INOD's record growth, Big Tech ties and federal AI push highlight its strong position in the surging U.S. AI market.

Artificial intelligence spending is increasingly shifting from experimentation to scaled deployment, forcing enterprises and governments to rethink how they collect, structure, govern and operationalize data. In this environment, companies that sit at the intersection of AI and data infrastructure are becoming critical enablers of the broader AI transformation.