Side-by-side comparison of AI visibility scores, market position, and capabilities
Delhi India EV-as-a-service last-mile logistics (founded 2017); $76.5M raised, 22K+ EVs, FY25 revenue ₹448 crore (+48%), 20.5M+ emission-free deliveries for Zepto/Blinkit/Swiggy competing with Magenta Mobility for quick commerce fleets.
Zypp Electric is a Delhi, India-based electric vehicle-as-a-service (EVaaS) platform — having raised $76.5 million from ENEOS Group (Japanese energy), Gogoro (Taiwan EV), Goodyear Ventures, and Anthill Ventures at a ₹2,840 crore (~$340 million) valuation — operating India's largest EV fleet for last-mile logistics with 22,000+ electric scooters serving quick commerce and e-commerce delivery partners including Zepto, Blinkit, BigBasket Now, Swiggy, Zomato, Flipkart, and Myntra across Delhi-NCR, Bangalore, and Mumbai. Founded in 2017 by CEO Akash Gupta, Rashi Agarwal, and Tushar Mehta, Zypp began as a dockless bike rental service before pivoting to B2B EV fleet management for delivery companies — an asset-light model where Zypp owns the vehicles and charges per-delivery or per-kilometer fees rather than requiring delivery platform companies to purchase and maintain their own EV fleets. In FY2025, Zypp reported revenue of ₹448 crore ($54M), up 48.2% year-over-year from ₹306 crore in FY2024, which itself represented 168% growth from ₹109.1 crore in FY2023. The company has completed over 20.5 million emission-free deliveries and operates primarily in Delhi-NCR (15,000 vehicles), Bangalore (4,000 vehicles), and Mumbai (1,200 vehicles).
Autumn Labs develops AI systems for predictive maintenance and asset health monitoring in manufacturing and industrial environments, helping facilities reduce unplanned downtime.
Autumn Labs is an industrial AI company focused on predictive maintenance and asset health monitoring for manufacturing facilities and industrial operators. Unplanned equipment downtime is one of the largest preventable costs in manufacturing—industry estimates put annual losses from unplanned downtime at hundreds of billions globally. Traditional preventive maintenance schedules service equipment at fixed intervals regardless of actual condition, often replacing parts that still have useful life while missing emerging failures between service events.
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