1 Tech Stock to Buy Before the End of 2025

Innodata (INOD), a provider of data preparation services for AI training, has seen its stock surge 89% this year, driven by robust growth including a 79% year-over-year revenue increase in Q2 and projected 45% full-year growth. The company, which partners with tech giants like Google and Microsoft, is positioned to capitalize on increasing AI infrastructure spending, evidenced by an anticipated $10 million revenue from a single customer in H2 2025. While currently trading at 83 times this year's earnings, its forward P/E drops to 62x based on strong earnings growth expectations, suggesting it could be a significant beneficiary of long-term AI investment.

Analysis

Innodata (INOD) is demonstrating significant momentum as a critical provider of data preparation services for AI training, a sector experiencing surging demand. The company's stock has climbed nearly 89% this year, driven by robust financial performance including a 79% year-over-year revenue increase in Q2 and a projected 45% growth for the full year. Its established relationships with tech giants like Alphabet's Google and Microsoft underscore its strategic market position.

Future growth appears strong, with management anticipating a substantial $10 million in revenue from a single customer in H2 2025, a significant increase from $200,000 previously. This indicates deep integration into major AI initiatives and aligns with broader trends of increased capital allocation to AI infrastructure. The company expects this strong momentum to continue into 2026.

Despite trading at a high 83 times this year's earnings, Innodata's valuation is supported by aggressive growth expectations. The forward earnings multiple decreases to 62 times based on next year's consensus estimates, reflecting anticipated earnings expansion. This suggests the market is pricing in considerable future success within the AI data services niche.

Key Decisions for Investors

• Investors should evaluate Innodata's ability to sustain its high revenue growth and capitalize on increasing AI infrastructure spending, particularly monitoring the realization of the projected $10 million customer revenue in H2 2025.
• Assess the long-term competitive advantages and scalability of its data preparation services given its current premium valuation of 83x current earnings.
• Consider the potential for continued earnings expansion, which is implied by the lower forward P/E of 62x, but remain vigilant for any shifts in client spending or competitive dynamics.