AutoDukan Secures $1 Million in Pre-Series A Funding

AutoDukan, an AI-driven automobile aftermarket platform, has raised $1 million in its Pre-Series A funding round to scale technology and expand its spare part procurement and insurance claim workflow services across India. The round was led by Choice Group and select high net worth individuals.

The funding follows previous investment rounds including a seed round backed by Rohit Goyal, Windrose Capital, and NRI investor Raghu Venkatraman, and an angel round supported by MetroMax Group and Ankit Sajnani. MetroMax Group's Indian arm and Ankit Sajnani continued their participation in the latest round.

AutoDukan will use the capital to scale operations across key automotive regions and enhance AI capabilities in demand prediction, automated procurement, and claims workflow. The funds will also support deeper partnerships with insurers, fleet operators, and OEM suppliers while expanding 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.

Sumit Desai, CTO, added: "AI allows us to anticipate demand and match parts instantly. This funding helps us bring that efficiency to India's largest automotive regions." Pranay Tagare, COO, said: "We're driving data-driven precision into a traditionally manual industry. AutoDukan's AI platform delivers speed, transparency and trust at scale."

Choice Group stated: "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."

The company reports 10x growth over the past two years and serves over 2,000 clients across India. AutoDukan has mapped over 2 million spare parts to vehicle models and maintains a live virtual inventory of 200,000 parts updated daily.

Founded by Ruparelia, Desai, and Tagare, AutoDukan uses AI to predict demand, optimize sourcing, and provide real-time visibility across insurers, fleet operators, and workshops. The platform aims to reduce claim cycle times and enhance profitability in India's automobile aftermarket sector.