Runable Raises $21M to Push Its AI Agent From Building Sites to Finding Customers

Runable has raised a $21 million Series A to extend its small-business AI agent beyond making websites and apps into work meant to attract customers: advertising, search optimization, social-media management and distribution. The bet is that business owners will pay for a system that connects creation to growth rather than leaves them to assemble the marketing stack themselves.

Susquehanna Venture Capital and Nexus Venture Partners co-led the all-equity, primary financing, with existing investors Together Fund and Array VC participating. Runable co-founder and CEO Umesh Kumar said the round valued the company at $65 million after investment.

Founded in 2025, Runable began as an AI-infrastructure company building browser technology for data scraping at scale. It pivoted after users asked its browser-based agent to create slide decks and websites, and now offers natural-language creation of websites, apps, presentations and other content while handling deployment and analytics.

The planned “grow” layer is meant to run ad campaigns, manage social accounts, handle SEO and improve a business’s visibility in AI chatbot results. Kumar’s stated end point is a request for a target number of customers, instead of separate setup for a site, analytics tools, advertising accounts and campaigns.

The customer-acquisition pitch runs into a practical boundary: an agent cannot generally spend on an ad platform without access to the relevant account. In a test, Runable built a website for a fictional coffee subscription business, prepared an ad campaign and then stopped because an advertising account had to be connected.

Where the end-to-end promise currently stops

• Runable said it can run ads without a customer connecting an advertising account only for ads on ChatGPT; it cited undisclosed partnerships as the basis for that capability.
• For developers working with local files or primarily writing code, Kumar said OpenAI’s Codex and Anthropic’s Claude Code can be a better fit than Runable.
• Runable positions general-purpose agents Manus and Genspark as its closest competitors, while arguing its differentiation is customer acquisition rather than AI-assisted building alone.

Runable said it reached a $2 million annualized revenue run rate within three weeks of launching payments in March, but Kumar declined to disclose current revenue or paying-customer count. The company is using a mix of models, including models it is developing itself, and expects lower inference costs to improve its economics over time.

The funding will support expansion of Runable’s product, engineering, machine-learning and marketing capabilities, according to the company’s plans. The open question is whether it can turn a tool that prepares growth work into one that reliably completes it across the accounts, budgets and third-party services a small business already uses.