Runable raises $21M to expand AI agents into customer growth
Bengaluru-based startup Runable has raised a $21 million Series A to expand its AI agent beyond building websites and applications into tasks intended to help small businesses find customers. Susquehanna Venture Capital and Nexus Venture Partners co-led the all-equity primary round, with existing investors Together Fund and Array VC participating. Co-founder and CEO Umesh Kumar said the investment valued the company at $65 million after the financing.
Founded in 2025 by Kumar and Saksham Sarda, Runable has a 15-person team and is targeting nontechnical small-business owners. Its platform uses natural-language prompts to create websites, apps, presentations and other content, while also handling parts of deployment and analytics.
From creation to business operations
Runable began as an AI infrastructure company developing browser technology for large-scale data scraping. The founders saw users ask its browser-based agent for slide decks and websites, which led the company to pivot to a general-purpose agent. Kumar said Runable reached a $2 million annualized revenue run rate within three weeks of launching payments in March.
The company now calls its next phase the “grow” side of the business. It aims to let the agent run advertising campaigns, manage social media, handle search-engine optimisation and improve a company’s presence in AI chatbot results. The stated goal is to allow an owner to request a target number of customers instead of separately configuring a website, analytics stack, advertising accounts and marketing campaigns.
Runable says it has about 1.7 million registered users. The United States, the United Kingdom and Japan are its largest markets, with users also in Brazil. Kumar said the company is increasingly concentrating on the first three markets and expects Japan to emerge alongside the US as a leading market as soon as next month.
Usage, costs and operational limits
Kumar declined to disclose current revenue or the number of paying customers. He said users consumed more than 1 trillion tokens over the last 90 days, and that paying customers accounted for about 60% to 70% of the usage. Runable currently has negative gross margins, in part because it subsidises AI usage for customers.
The startup works with a mix of models, including models it is developing itself. Kumar expects declining inference costs to improve its economics and said equivalent inference quality could become available at almost one-tenth of the cost.
A test described by TechCrunch found that Runable could build and deploy a website for a fictional coffee-subscription business, set up analytics and prepare an advertising campaign for its first 100 visitors using a $25 budget. It did not run the campaign because an advertising account had to be connected. Runable said it can currently run ads on ChatGPT without a customer connecting an advertising account, through partnerships it did not identify.
Competitive position
Runable operates in a crowded market that includes Anthropic, OpenAI, Cursor, Lovable and Replit. Kumar said coding agents such as OpenAI Codex and Anthropic Claude Code may be a better fit for developers using local files or primarily writing code. He identified Manus and Genspark as closer competitors because they address similar users and markets.
For businesses, the practical implication is that an outcome-oriented agent should be evaluated not only on what it can generate, but also on the infrastructure, analytics, ad-account access and payment connections it still requires before it can execute a customer-acquisition campaign.