Innodata is shifting from traditional data services to smart data and expanding into high-margin evaluation and agentic AI services. If it can scale like Palantir, it may be a significant growth opportunity by the 2030s. Palantir’s successful enterprise AI model focuses on core platform development for customers, quick pilot project implementation, and new client acquisition.

Innodata’s growth mirrors Palantir’s trajectory, emphasizing AI partnership focusing on data and evaluation layers in enterprise AI. Palantir’s Q2 fiscal 2025 earnings exceeded $1 billion in revenue, with notable growth in U.S. commercial and government sectors. Innodata’s Q2 fiscal 2025 revenue surged by 79%, with adjusted EBITDA up 375%.

Palantir’s strength lies in resolving real-world problems through unique AI capabilities rather than large language models. Similarly, Innodata is adopting a strategy of providing high-quality training data, collaborating with big tech clients to enhance AI model performance. Both companies aim to entrench their offerings in client ecosystems to enhance pricing power.

Palantir’s agentic AI approach, focusing on autonomous problem-solving, differentiates it from competitors. Innodata is also advancing its agentic AI capabilities, providing simulation training data and trust and safety monitoring. Both companies are investing in robotics projects to create AI systems that can run on everyday devices.

Innodata’s early AI journey shows promise, with shares up 315% in the past year. The company’s potential for growth hinges on expanding its customer base, cross-selling and upselling, and maintaining a competitive edge. While execution risks persist, there’s a chance Innodata could follow Palantir’s success in the 2030s.

Read more at Yahoo Finance: This Artificial Intelligence (AI) Player Could Be the Next Palantir in the 2030s