Runable raises $21 million to push AI agents beyond building into business growth

Bengaluru-based startup Runable has raised $21 million in a Series A funding round to expand its artificial intelligence agent capabilities, valuing the company at $65 million post-investment. The all-equity, primary round was co-led by Susquehanna Venture Capital and Nexus Venture Partners, with participation from existing investors Together Fund and Array VC. The capital will support the startup’s pivot from AI infrastructure to a general-purpose agent designed to help small businesses not only build digital assets but also grow through marketing and customer acquisition.

Founded in 2025 by co-founders Umesh Kumar and Saksham Sarda, Runable initially operated as an AI infrastructure provider focused on browser technology for data scraping. The company shifted its focus after users began requesting the creation of slide decks and websites, leading to a pivot toward a general-purpose AI agent. This strategic move helped the startup reach a $2 million annualised revenue run rate within three weeks of launching payments in March.

The new funding aims to extend the agent’s functionality into what the company calls the “grow” side of the business. Beyond building websites, apps, and presentations, Runable is integrating capabilities to run ad campaigns, manage social media, handle search engine optimisation, and optimise a business’s presence in AI chatbot results. Kumar stated that the ultimate goal is to allow small business owners to request specific customer outcomes rather than manually configuring multiple separate tools.

Runable currently serves approximately 1.7 million registered users, with the United States, United Kingdom, and Japan identified as its largest markets. The startup reported that over 1 trillion tokens were consumed in the last 90 days, with 60% to 70% of that usage attributed to paying customers. Kumar noted that Japan is expected to emerge as a top market alongside the United States as soon as next month.

Despite strong usage metrics, the startup acknowledges it currently operates with negative gross margins, partly due to subsidising AI usage for customers. Kumar indicated that the company is working with a mix of models, including developing its own, and expects falling inference costs to improve its economics over time. He noted that the industry is seeing a path to providing the same quality of inference at almost 10 times less cost.

The competitive landscape remains crowded, with Runable facing pressure from AI giants such as Anthropic and OpenAI, as well as coding platforms like Cursor, Lovable, and Replit. General-purpose agents such as Manus and Genspark are considered its closest competitors. In a recent test by TechCrunch, Runable successfully built a website and prepared an ad campaign for a fictional business but required an external advertising account to execute the spend, a limitation the company says is currently being addressed through partnerships.