AutoDukan, an AI-based platform changing India’s automobile aftermarket, has completed a $1M Pre-Series A funding round. The funding was led by Choice Group and other high-net-worth individuals. Existing investors, including MetroMax Group (India) and angel investor Ankit Sajnani, also reaffirmed their confidence by participating in this round.
Building on Earlier Investments
This fundraising builds upon AutoDukan’s earlier capital raises. The company had previously secured a seed round from Rohit Goyal, Windrose Capital, and Raghu Venkatraman. Later, it raised an angel round from MetroMax Group (USA) and Ankit Sajnani, which supported the launch and early expansion of its core platform. These earlier investments laid the groundwork for AutoDukan’s AI-first strategy in a sector historically dominated by fragmented supply chains and manual processes.
What AutoDukan Does
AutoDukan is operating in the automobile aftermarket – digitisation of spare-parts, automation of insurance claim workflows and transactions for multi-brand workshops. The company’s core offering is an AI platform that maps spare parts procurement to vehicles, forecasts demand patterns, and streamlines procurement. This helps insurers, fleet operators, and repair workshops reduce delays, improve efficiency, and gain visibility into the availability of spare parts.
The company’s technology provides real-time data on millions of spare parts. By combining predictive analytics with supply chain automation, AutoDukan helps reduce vehicle downtime, speeds up claims approval, and ensures that workshops can source the right part at the right time.
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Growth Story
In just two years, AutoDukan has scaled rapidly, reporting tenfold growth in its operations. The Company now has over 2,000 customers across India, which include multi-brand repair workshops, insurers and fleet operators. AutoDukan’s platform has already mapped over 2 million spare-part SKUs to vehicle models. Additionally, AutoDukan has a live inventory of approximately 200,000 parts, which is updated every day so that its partners have access to real-time availability.
These successes have placed AutoDukan as one of the fastest-growing players in India’s emerging auto aftermarket digitisation segment.
Plans for New Funding
The newly raised $1 million will be deployed across several strategic priorities. AutoDukan plans to:
- Scale Operations – Expand its presence across India’s leading automotive hubs to serve more workshops, insurers, and fleet partners.
- Enhance AI Capabilities – Strengthen its machine learning models for demand prediction, spare-parts mapping, and claims automation.
- Build Partnerships – Deepen relationships with insurers, fleet operators, and OEM suppliers to improve collaboration and streamline claims.
- Expand the Team – Hire and train talent in AI, operations, and market development to drive its next phase of growth.
Founders’ Perspective
Gunjan Ruparelia, co-founder and CEO emphasised that the new funding round is a validation of AutoDukan’s “AI-first approach” to solving a complicated challenge in a deeply fragmented industry. He stated that the companies are not just digitising the process for spare-parts procurement but building an intelligent backbone for the entire repair and insurance ecosystem.
Ruparelia co-founded the company along with CTO Sumit Desai and COO Pranay Tagare, both of whom bring significant expertise in technology and operations. Together, they have built a platform designed to cut repair cycle times, enhance transparency, and improve the profitability of workshops and insurers alike.
Competitive Landscape
The Indian automobile aftermarket is huge and growing, but it suffers from inefficiencies, such as fragmented supply chains, unreliable parts parts, and sluggish claim processes. Multiple companies, including GoMechanic, Automovill, and OEM-backed service providers, compete in this fragmented market. However, AutoDukan differentiates itself with its strong focus on AI-driven forecasting, real-time inventory mapping, and insurance claim automation.
Industry experts believe that these capabilities give AutoDukan a competitive edge, particularly in serving insurers and fleet operators who require speed, accuracy, and reliability in spare-parts procurement and claims processing.
Why This Matters
India’s automobile aftermarket, which is worth billions and still growing as the market and vehicle par stock rises, is still very fragmented and mostly unorganised. AutoDukan aims to introduce essential efficiency and transparency to the sector through artificial intelligence.
For insurers, faster and more reliable parts procurement means reduced claim settlement times and improved customer satisfaction. For fleet operators, predictive spare-parts planning can lower maintenance costs and ensure better vehicle uptime. For workshops, access to a live, AI-updated inventory means fewer delays and better margins.
Outlook
The financing allows AutoDukan to establish itself as the technology enabler in the auto aftermarket market in India. That the company wants to increase operations, enhance AI tools and build deeper partnerships suggests it is positioned to grow aggressively.
If AutoDukan achieves what it has laid out in it’s roadmap, it’s feasible that it could set new standards for the evolutionary speed, transparency, and efficiency in spare-parts procurement and auto insurance claims. The Indian automobile aftermarket is rapidly changing while AutoDukan is positioning itself as the backbone the auto body repair shop, insurer, fleet operator, etc. will expect to offer a smarter, faster and reliable solutions for procurement and claims.
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