Indian startup Runable raises $21 million to help small businesses find customers, not just build websites
The Bengaluru-based startup wants its AI agent to run ads, manage social media and grow a business from scratch, but it is still burning through cash to get there.

Key points
- Runable, founded in 2025, raised $21 million in a Series A round co-led by Susquehanna Venture Capital and Nexus Venture Partners.
- The round valued the company at $65 million after investment, per CEO Umesh Kumar.
- Runable reached a $2 million annualised revenue run rate within three weeks of turning on payments in March 2025.
- The platform has 1.7 million registered users, with its largest markets in the US, UK, and Japan.
- Runable currently runs at negative gross margins, meaning it costs more to serve customers than it collects from them.
Building a website with AI has become almost trivially easy. Runable, a startup based in Bengaluru, India, thinks that is exactly the problem: everyone can build, but very few people know how to find customers once the site is live. It just raised $21 million to fix that.
The Series A, first reported by TechCrunch, was co-led by Susquehanna Venture Capital and Nexus Venture Partners. Existing backers Together Fund and Array VC also joined. CEO Umesh Kumar confirmed the deal valued Runable at $65 million after investment.
What does Runable actually do?
Runable offers an AI agent (software that carries out multi-step tasks on its own) that lets non-technical users build websites, apps or presentations by typing plain instructions. It's now pushing into marketing: running ad campaigns, managing social media, handling search-engine optimisation (getting a website to rank higher on Google), and improving how a business appears in AI chatbot results.
Kumar's pitch to TechCrunch was blunt: "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."
The target is small business owners who don't want to wire together separate tools for every task. Runable wants to replace that entire stack.
How does it compare to rivals?
| Product | Main focus | Target user |
|---|---|---|
| Runable | Build + grow a business | Non-technical owners |
| Cursor | Writing and editing code | Developers |
| Lovable | Building web apps | Developers / designers |
| Manus / Genspark | General-purpose AI tasks | Broad consumer |
| OpenAI Codex / Anthropic Claude Code | Code generation | Developers |
Kumar isn't claiming Runable beats coding tools at writing code. For developers, he told TechCrunch, something like Anthropic's Claude Code is still a better fit. Runable is after the shop owner or teacher who just wants customers. That framing is close to what we reported on 6 August 2026 when Naïve raised $28.5 million to let agents handle the full administrative burden of starting a company, though Runable's emphasis on marketing rather than back-office tasks gives it a distinct angle.
A quick test by TechCrunch found real limits. Asked to build and deploy a site, set up analytics, and attract 100 visitors on a $25 ad budget, Runable built the site and prepared a campaign but stopped before spending the money because an external ad account had to be connected first. The startup says it can run ads without that step for ads placed inside ChatGPT, through undisclosed partner arrangements.
Should small business owners pay attention?
Yes, cautiously. The speed is real: Runable went from zero to a $2 million annualised revenue run rate in three weeks after launching payments in March 2025. Users consumed more than one trillion tokens (the units of text an AI model processes) over the past 90 days, with 60 to 70 percent of that from paying customers.
The hard part is the economics. Runable spends more to serve customers than it earns from them, and Kumar acknowledges it openly. The bet is that AI inference costs keep falling fast enough to close that gap. "We are seeing this path where you can provide the same quality of inference at almost 10x less cost," he told TechCrunch.
With a 15-person team and well-funded rivals building their own agents, Runable has a lot to prove. The negative margins are the number to watch: a product this ambitious either finds a path to positive unit economics within a funding cycle or becomes a cautionary tale about how cheap AI creation doesn't automatically make distribution cheap too.



