AI data infrastructure startup Clairva has raised $500,000 in pre-seed funding in a round led by Venture Catalysts through its angel network. The investment will support the company’s efforts to expand its licensed data ecosystem and strengthen its role in the rapidly growing artificial intelligence infrastructure market.
Founded in 2025 by Sunil Nair, Sabari Raju, Dushyant Verma, and Amit Parashar, Clairva is developing provenance-backed and legally licensed datasets designed for AI foundation models, robotics, autonomous systems, and embodied AI applications.
The company plans to use the new funding to expand its network of licensed data suppliers, build partnerships with content owners and institutions, improve its data processing capabilities, and strengthen engagement with global AI customers.
As AI technologies continue to evolve, the demand for high-quality training data with verified ownership and clear usage rights has increased significantly. However, obtaining reliable datasets remains a major challenge for AI developers. Clairva aims to solve this problem by connecting with content creators, production houses, archives, organizations, and contributor communities to source and license real-world data for AI training.
The startup is initially focusing on India, Southeast Asia, and other Global South markets, where many languages, cultural environments, behaviors, and real-world scenarios remain underrepresented in existing AI datasets. By creating region-specific datasets, Clairva aims to help AI systems better understand diverse global contexts.
Beyond data sourcing, Clairva is also developing technology covering the complete AI data lifecycle, including dataset management, rights tracking, metadata creation, automated enrichment, tagging, quality verification, and dataset preparation.
With the latest investment, Clairva plans to expand its technology capabilities, strengthen its data network, and collaborate with international AI companies seeking reliable, transparent, and high-quality datasets for next-generation AI applications.
