AutoDukan, an AI-powered platform for the automobile aftermarket, has raised $1 million in a pre-Series A funding round to accelerate its mission of transforming spare part procurement, insurance claim workflows, and multi-brand workshop enablement across India. The funding round was led by Choice Group and supported by select high-net-worth individuals (HNIs), with continued participation from MetroMax Group’s Indian arm and Ankit Sajnani.
The company plans to deploy the fresh capital to scale operations across India’s major automotive hubs and strengthen its AI capabilities for demand prediction, automated procurement, and claims processing. The funds will also support deeper collaborations with insurers, fleet operators, and OEM suppliers while expanding the company’s expertise in AI, operations, and market development.
“Our latest investment validates our AI-first approach to solving a deeply fragmented market. We’re not just digitizing procurement, we’re building an intelligent backbone for the automotive repair and insurance ecosystem,” said Gunjan Ruparelia, Co-Founder and CEO of AutoDukan.
Sumit Desai, CTO, emphasized the efficiency gains from AI adoption: “AI allows us to anticipate demand and match parts instantly. This funding helps us bring that efficiency to India’s largest automotive regions.”
Echoing this sentiment, Pranay Tagare, COO, highlighted the platform’s impact: “We’re driving data-driven precision into a traditionally manual industry. AutoDukan’s AI platform delivers speed, transparency and trust at scale.”
Investors also expressed confidence in AutoDukan’s market potential. “We are excited to lead AutoDukan’s Pre-Series A round. The company’s AI-driven approach addresses real inefficiencies in India’s automobile aftermarket, and we are confident it will transform spare part procurement and insurance claim workflows nationwide,” said Choice Group.
Founded with a vision to streamline India’s fragmented auto aftermarket, AutoDukan is positioning itself as a critical enabler for workshops, insurers, and fleet operators. By combining AI-driven demand prediction with automated procurement and claims workflow solutions, the company is poised to boost efficiency, lower costs, and build greater trust across the automotive ecosystem.
