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Runable raises $21 million to help small businesses grow with AI agents

The AI agent platform has reached 1.5 million users and $2 million in annual recurring revenue, and will use the funds to expand growth channels, its free academy and team

Runable raises $21 million to help small businesses grow with AI agents

Runable, an Indian AI startup, has raised $21 million in Series A funding to transition from focusing on building businesses to helping them grow. The Series A round was co-led by Susquehanna Venture Capital and Nexus Venture Partners, with additional participation from Together Fund and Array VC. This funding brings Runable's valuation to $65 million.

Founded in 2025 by Umesh Kumar and Saksham Sarda, Runable started as an AI infrastructure company, developing browser technology for data scraping at scale. However, the founders observed an increasing demand from users to have the browser-based AI agent create content like slide decks and websites. This led to a pivot toward creating a general-purpose AI agent capable of building websites, apps, presentations, and handling other tasks.

The company's AI agent is designed to find customers, run ad campaigns, create presentations, and promote businesses across various channels like search, social media, and AI chatbots. By simplifying the process for small businesses, Runable aims to assist users in obtaining a specific number of customers instead of requiring them to set up various tools and platforms separately. The startup currently has around 1.7 million registered users, with the U.S., UK, and Japan as its key markets.

Despite the growing competition, Runable aims to differentiate itself by focusing on customer acquisition through AI, rather than just building AI-driven tools. Currently, Runable has negative gross margins due to its provision of subsidized AI usage for customers, but the founders expect this to improve as AI inference costs decrease.

Written by urgent.news from TechCrunch's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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