Indian startup Runable has raised a $21 million Series A, supporting its transition from website- and application-building tools to AI agents that handle a broader part of operating and growing a business. Susquehanna Venture Capital and Nexus Venture Partners led the round, with participation from existing investors Together Fund and Array VC. Runable was valued at $65 million after the investment, according to co-founder and CEO Umesh Kumar.
Runable was founded in 2025 and is headquartered in Bengaluru, with a team of 15 people. The company targets nontechnical small-business owners in a crowded market that includes AI model companies such as Anthropic and OpenAI, as well as coding platforms such as Cursor, Lovable and Replit.
From Building the Product to Finding Customers
Runable’s platform currently enables users to create websites, applications, presentations and other content through natural-language prompts, while handling some of the infrastructure associated with deployment and analytics. The company wants to expand the agent into what it calls the “growth” side, including setting up advertising campaigns, managing social media, improving search-engine visibility and strengthening a business’s presence in the results of AI-powered chatbots.
Runable’s proposition is that a business owner can request a direct outcome, such as acquiring a specific number of customers, rather than setting up a website, analytics tools, advertising accounts and marketing campaigns separately. This differs from coding tools aimed primarily at developers; Kumar said tools such as OpenAI Codex and Anthropic Claude Code may be better suited to people working with local files or writing code directly.
Strong Usage Indicators and Economics That Have Not Yet Stabilized
The company said it has approximately 1.7 million registered users, with the United States, the United Kingdom and Japan among its largest markets, as well as users in Brazil. It also said its users consumed more than 1 trillion tokens over the past 90 days, and that paying customers accounted for approximately 60% to 70% of this usage.
According to Kumar, Runable went from generating no revenue to an annualized revenue run rate of $2 million within three weeks of beginning to collect payments in March. He did not disclose current revenue or the number of paying customers, and acknowledged that the company currently operates with negative gross margins, partly because it subsidizes some of the cost of using AI models. Runable says it works with a mix of models, including models it develops itself, and is counting on lower inference costs to improve the service’s economics.
What Works in Practice?
In a test conducted by TechCrunch, Runable was able to build and publish a website and set up analytics and an advertising campaign for a fictional coffee-subscription business, but it did not execute the campaign before an advertising account was connected. The company explained that running ads without an account belonging to the customer is currently available for ChatGPT ads through partnerships whose names it did not disclose.
This result reveals the limits of the current promise: Runable brings larger parts of the workflow together within its platform, but it does not yet eliminate the need for external accounts and services in every case. The company says its closest competitors are the general-purpose agents Manus and Genspark, and that its targeted advantage is product distribution and customer acquisition, not merely building the product. The round therefore matters as a bet on AI agents moving from producing digital assets to delivering business outcomes, while model costs and reliance on external advertising remain open questions for scalability.