Question · Q4 2025
George Sutton of Craig-Hallum inquired about the expanding breadth of Innodata's AI data science opportunities, specifically how the company is moving beyond initial post-training and pre-training services into areas like robotics and autonomous agents, and where Innodata sees itself in this evolving data science continuum. He also asked if the company's conservative guidance methodology for 2026, which has historically led to exceeding initial expectations, remains consistent.
Answer
Chairman and CEO Jack Abuhoff explained that Innodata's 2025 innovations have positioned them strongly for 2026, highlighting that challenges in AI capabilities like agentic systems, physical AI, and robotics fundamentally boil down to data engineering. He emphasized that Innodata's relevance is increasing, extending beyond foundation model builders to enterprises. Regarding guidance, Mr. Abuhoff confirmed the continued use of a conservative forecasting approach, aiming to surpass expectations, and anticipates increasing guidance throughout the year due to significant customer diversification and improved revenue quality from hybrid human/technologically driven solutions.
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