ContraVault AI, a deep-tech startup focused on automating tender and RFP management through artificial intelligence, has raised ₹5.1 crore in a seed funding round led by Titan Capital. The round also saw participation from notable angel investors including Rajiv Ahuja, Haresh Chawla, Jaswinder Ahuja, Dilipkumar Khandelwal, Abhishek Goyal, and others.
Founded by Sayan Sen, Tanmay Juneja, and Isha Juneja, ContraVault AI aims to overhaul India’s traditionally manual tendering processes, which are often time-intensive and error-prone. The funding will be used to deepen the platform’s AI verticalisation across key industries, enhance the precision of its tender analysis engine, and accelerate sales within India’s under-digitised public procurement landscape.
AI-led transformation of tender workflows
ContraVault AI applies advanced machine learning techniques to understand and interpret complex tender documents, enabling enterprises to automate compliance checks, reduce risks, and improve response timelines. The company is building its solution on a proprietary dataset of over 100,000+ tenders, delivering domain-specific accuracy across sectors such as EPC, power, IT, and energy.
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The founders describe ContraVault AI as operating at the intersection of artificial intelligence and public sector procurement—a space traditionally buried in PDFs, regulatory clauses, and compliance bottlenecks. Its technology has already attracted partnerships with large corporates and leading law firms.
Positioned for expansion and enterprise adoption
The company will focus its next phase of growth on scaling within India and laying the groundwork for international expansion. With growing demand from enterprise procurement teams and government-facing businesses, ContraVault AI sees an opportunity to standardise and simplify tender workflows using AI.
The funding milestone positions ContraVault AI to accelerate adoption, build stronger industry integrations, and continue developing its platform for high-stakes, document-heavy workflows that have seen limited innovation to date.
