Runable hits $21M to bet AI agents can go from building businesses to growing them
As the barrier to entry for launching digital products continues to crumble under the weight of generative AI, a new frontier is emerging: the transition from creation to commercialization. Bengaluru-based startup Runable is positioning itself at the center of this shift, securing $21 million in Series A funding to evolve its AI agents from simple website builders into comprehensive business growth engines.
The funding round was co-led by Susquehanna Venture Capital and Nexus Venture Partners, with continued participation from existing backers Together Fund and Array VC. According to co-founder and CEO Umesh Kumar, this all-equity primary investment values the startup at $65 million.
Beyond the Code: The Shift to Outcomes
Founded in 2025, Runable entered a market already saturated with heavyweights like OpenAI and Anthropic, alongside specialized coding platforms such as Cursor, Lovable, and Replit. While these competitors focus on the "how" of software development, Runable is pivoting toward the "why."
The startup’s mission is to move beyond merely generating code or static web pages. Instead, it is building an AI agent capable of executing end-to-end business operations—finding customers, managing ad campaigns, crafting presentations, and optimizing a brand’s presence across social media, search engines, and AI chatbots.
“In the end, a business doesn’t require Codex or Claude Code or anything. They require real outcomes,” Kumar explained. “If I am paying an agency $10,000 to run my Google Ads, can someone come in and do it for me for a lower price? That’s where Runable comes in.”
From Infrastructure to Growth
The journey to this point has been iterative. Kumar and co-founder Saksham Sarda initially launched Runable as an AI infrastructure firm, specializing in browser-based data scraping. However, user behavior dictated a change in direction. Customers frequently tasked the agent with creating slide decks and websites, signaling a demand for a more versatile, general-purpose AI assistant.
This pivot proved lucrative. Since launching its payment infrastructure in March, the company reached a $2 million annualized revenue run rate in just three weeks. Today, the platform boasts 1.7 million registered users, with a strong footprint in the U.S., UK, and Japan.
Key Capabilities of the Runable Agent:
- Content Creation: Building websites, apps, and presentations via natural language prompts.
- Infrastructure Management: Handling deployment and analytics automatically.
- Growth Operations: Managing SEO, social media, and ad campaigns.
- AI Optimization: Improving business visibility within AI-driven search results.
The Economics of Scale
Runable’s growth is underscored by significant usage metrics. Over the last 90 days, the platform processed over 1 trillion tokens, with 60% to 70% of that volume attributed to paying customers. Despite this traction, Kumar admits the company is currently operating with negative gross margins, largely due to the costs associated with subsidizing AI inference for its user base.
However, the leadership team remains optimistic. By utilizing a diverse mix of models—and even developing proprietary ones—Runable expects to benefit from the rapid decline in inference costs.
“We are seeing this path where you can provide the same quality of inference at almost 10x less cost,” Kumar noted.
Navigating the Competitive Landscape
The primary challenge for Runable is differentiation. As the major model providers—the very companies Runable relies on—begin to integrate agentic capabilities directly into their own platforms, the "middleman" layer faces increased pressure.
Runable’s defense is its focus on the non-technical small business owner. While developers might prefer the granular control offered by Claude Code or Codex, Runable aims to remove the friction of stitching together disparate services. It handles the entire stack—infrastructure, analytics, and distribution—in one unified interface.
The "Soft Wedge" Strategy
In practical testing, Runable demonstrates a clear advantage in infrastructure management, though it still faces hurdles regarding external account integrations. For instance, while it can build a website and prepare an ad campaign, it often requires the user to link an existing advertising account to finalize the spend.
The startup is currently experimenting with a "soft wedge" strategy, leveraging undisclosed partnerships to allow for ad placement directly within platforms like ChatGPT without requiring users to manage complex external ad accounts.
Looking Ahead
Runable is not attempting to out-code the coding agents; it is attempting to out-grow them. By targeting the "grow" side of the business lifecycle, the company is betting that small business owners would rather pay for a result—such as acquiring 100 new customers—than manage the individual tools required to get there.
As the company looks to expand its presence in Japan and the U.S., the focus remains on proving that an AI agent can be more than a creative tool. For Runable, the ultimate goal is to become the invisible engine behind the next generation of small businesses, turning simple prompts into tangible, measurable revenue.