Runable Raises $21M Series A to Expand Its AI Agent From Building to Growing Businesses
Indian AI agent startup Runable has closed a $21 million Series A round at a $65 million post-money valuation, co-led by Susquehanna Venture Capital and Nexus Venture Partners, with existing backers Together Fund and Array VC participating. Co-founder and CEO Umesh Kumar confirmed the details in an exclusive interview with TechCrunch. The round was all-equity and primary, meaning no existing shareholders sold stakes and the capital went directly into the company.
Founded in 2025 by Kumar and Saksham Sarda, Bengaluru-based Runable started out building browser technology for large-scale data scraping before pivoting to a general-purpose AI agent. A "general-purpose AI agent" is software that can autonomously carry out multi-step tasks based on a user's natural-language instructions, rather than simply answering questions or generating text. The 15-person team now serves roughly 1.7 million registered users, with its largest markets in the U.S., U.K., and Japan, plus a presence in Brazil.
Runable's agent lets users create websites, apps, presentations, and other content through plain-language prompts, handling deployment and analytics. The Series A capital is earmarked to extend the agent's capabilities into the growth side of the business equation: finding customers, running ad campaigns, building presentations, and promoting businesses across search, social media, and AI chatbots. The thesis is that an AI agent that helps someone build a digital presence can also help that person acquire and convert users for it.
The traction numbers are notable. Runable went from zero to a $2 million annualized revenue run rate within three weeks of enabling payments in March. Over the last 90 days, users consumed more than 1 trillion tokens — tokens being the basic units of text that AI models process — with 60% to 70% of that volume coming from paying customers.
The unit economics tell a different story. Runable currently operates at negative gross margins, partly because it subsidizes AI inference costs for its users. Inference is the compute-heavy process of running an AI model to generate responses, and it is expensive. This is the familiar AI-wrapper dilemma: a company that wraps an existing AI model in its own product interface can drive rapid user growth and heavy token consumption, but those numbers do not yet translate into positive contribution margins. The $21 million gives Runable runway to either drive inference costs down or shift enough users onto pricing tiers that cover actual compute spend.
The competitive landscape adds another layer. On August 24, Runable published a blog post titled "Manus Deleted User Data This Weekend: How to Migrate Your Projects to Runable," positioning itself as a safe harbor for users of a competing AI agent platform. The post references a data-deletion incident at Manus and offers migration instructions, a move that frames Runable's reliability as a point of differentiation in a market where user trust in data persistence is not yet settled.
The broader context here is a category still sorting itself out. General-purpose AI agents that build and deploy software from natural language prompts attracted enormous attention through 2025, but the field has not converged on a durable business model. Several well-funded entrants have struggled with the gap between viral adoption and sustainable margins, and data-handling incidents at competitors create churn opportunities for those positioned to capture it. Runable's combination of rapid revenue ramp, large user base, and negative gross margins fits the pattern of a company betting that scale and infrastructure investment will close the margin gap before capital runs out.
In this author's view, the valuation math deserves attention. A $65 million post-money valuation on $2 million in annualized revenue implies a revenue multiple north of 30x, which prices in significant growth expectations even by the standards of AI-focused venture rounds. The all-equity, primary structure means existing holders were not selling, and no secondary liquidity was taken, which suggests the founders are banking on a substantially higher valuation in subsequent rounds.
For a company founded less than two years ago with a team of 15, the metrics reflect genuine product-market pull. The question Runable now faces is one that has defined every platform shift I have watched over three decades of covering technology: whether distribution and adoption can outrun the cost of delivering the service. The AI agent layer has made adoption cheaper than ever. Whether it has made delivery cheap enough to sustain a business is the part that remains unresolved.
The $21 million buys time to find out.
