Runable raises $21M to push AI agents from building sites to winning customers

What happened

Bengaluru-based Runable has raised $21 million in a Series A round to expand its AI agent beyond building websites and apps into finding customers and growing small businesses. According to TechCrunch, which reported the funding in an interview with co-founder and CEO Umesh Kumar, the round was co-led by Susquehanna Venture Capital and Nexus Venture Partners, with existing backers Together Fund and Array VC also participating. The all-equity, primary round values the 15-person startup at $65 million after investment.

From scraping to a general-purpose agent

Runable was founded in 2025 by Kumar and co-founder Saksham Sarda as an AI infrastructure company, building browser technology to scrape data at scale. Per TechCrunch, users increasingly asked the browser-based agent to create things like slide decks and websites, which prompted the pivot toward a general-purpose agent. The shift paid off quickly: Kumar said Runable went from zero to a $2 million annualized revenue run rate within three weeks of turning on payments in March.

The agent now builds websites, apps, presentations and other content from natural-language prompts, while handling some of the underlying infrastructure such as deployment and analytics. Runable claims roughly 1.7 million registered users, with the US, UK and Japan its largest markets, and Kumar expects Japan to rank alongside the US as a top market as soon as next month.

The grow side of the business

The new funding backs a push into what Runable calls the "grow" side: running ad campaigns, managing social media, handling SEO and optimising a business's presence in AI chatbot results. Kumar framed the pitch around outcomes rather than tools, telling TechCrunch: "In the end, a business doesn't require Codex or Claude Code or anything. They require real outcomes." The stated goal is for a small business owner to ask Runable for a certain number of customers rather than separately setting up a website, analytics tools, advertising accounts and marketing campaigns.

What a hands-on test showed

TechCrunch tested Runable by asking the agent to build and deploy a website for a fictional coffee subscription business, set up analytics and attract its first 100 visitors on a $25 advertising budget. Runable built the site and prepared an ad campaign but stopped short of running it, saying an advertising account first needed to be connected. A similar test on Cursor hit related limits, requiring Meta Ads access, a payment method and a third-party service to deploy the site permanently. Runable says it can already run ads without customers connecting their own accounts for ads on ChatGPT, through partnerships it declined to identify, describing them as a "soft wedge."

Economics and competition

Kumar declined to disclose current revenue or the number of paying customers. He told TechCrunch that users consumed more than 1 trillion tokens over the last 90 days, with about 60% to 70% of that usage from paying customers, and acknowledged that Runable currently has negative gross margins, partly because it subsidises AI usage. The startup works with a mix of models, including some of its own, and expects falling inference costs to improve its economics, pointing to a path where the same quality of inference comes at almost 10x less cost.

The competitive field includes AI giants Anthropic and OpenAI, coding platforms such as Cursor, Lovable and Replit, and general-purpose agents Manus and Genspark, which Kumar named as the closest rivals. His argument is that Runable's advantage lies in handling the surrounding work — infrastructure, analytics and distribution — so non-technical owners don't have to stitch together multiple services, while conceding that tools like Codex or Claude Code remain a better fit for developers primarily writing code.

Why it matters

The round is a signal of where investor attention is moving. Building an app or website with AI is commoditising fast, and the value is shifting to what comes next: acquiring customers, running campaigns and showing up in AI chatbot answers. Runable's negative gross margins and its reliance on model providers that are building agents of their own show how risky that bet remains. Still, $21 million at a $65 million valuation indicates backers see outcome-oriented agents — not just coding copilots — as the next category worth funding.