Innodata Pushes Into Agentic AI as Q2 Revenue Jumps 58%

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Summary · why it matters

Innodata Inc. is pushing deeper into agentic artificial intelligence, with reinforcement learning emerging as a potentially important growth engine. The company has won a significant program with a large AI lab focused on personalizing long-horizon agents, which is now scaling, along with another program to build reinforcement-learning environments for desktop computer-use agents. Delivery expanded with two big-tech customers during the second quarter, while discussions with banking and insurance companies could lead to additional pilots. Second-quarter revenues surged 58% year over year to $92.1 million, while adjusted EBITDA climbed 92% to $25.4 million, and Innodata reiterated its 2026 revenue-growth outlook of at least 40%. Innodata faces growing competition from Genpact and Cognizant as enterprise demand shifts toward agentic AI, governance and deployment at scale, though its distinction lies in a deeper focus on data engineering, model evaluation and reinforcement-learning environments for long-horizon agents.

Impact on assets 4

Artificial Intelligence · 3 stocks
Innodata Inc
INOD
▲ PositiveCapitalDemandrelevance

Q2 revenue surged 58% to $92.1M, adjusted EBITDA climbed 92%, and it reiterated at least 40% 2026 revenue growth.

Genpact Limited
G
± MixedCompetitionrelevance

Named as a competitor Innodata faces in agentic AI, with no company-specific news about Genpact itself.

Others · 1 stocks

Theme Impact 1

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