Runable raises $21M Series A to push AI agents past building into growth
What's the deal? Indian startup RunableDealroom has a profile for this one. Try Dealroom → has raised a $21 million Series A to expand its AI agent from building websites and apps into finding customers and growing businesses. The all-equity, primary round was co-led by Susquehanna Venture Capital and Nexus Venture Partners, with existing investors Together FundDealroom has a profile for this one. Try Dealroom → and Array VCDealroom has a profile for this one. Try Dealroom → also participating.
The numbers: The round valued the Bengaluru-based company at $65 million after investment, co-founder and chief executive officer Umesh Kumar said. The deal ranks in the 81st percentile by size — a sizeable Series A for a startup founded in 2025 with a 15-person team.
What's the endgame? Runable is targeting small businesses in a crowded market that includes Anthropic, OpenAI, and coding platforms such as CursorDealroom has a profile for this one. Try Dealroom →, Lovable, and Replit. But it is looking past software creation, building an agent to find customers, run ad campaigns, and promote businesses across search, social media, and AI chatbots.
"In the end, a business doesn't require Codex or Claude Code or anything. They require real outcomes," Kumar said. "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."
Why now? Kumar and co-founder Saksham Sarda started Runable as an AI infrastructure startup building browser technology to scrape data. When users increasingly asked its agent to create slide decks and websites, the pair pivoted to a general-purpose AI agent.
Traction: That shift helped Runable reach a $2 million annualised revenue run rate within three weeks of launching payments in March, Kumar said. It now counts about 1.7 million registered users, with the US, UK, and Japan among its largest markets.
What could go wrong? Runable currently runs negative gross margins, partly because it subsidises AI usage for customers. Kumar said the company is working with a mix of models, including developing its own, and expects falling inference costs to improve its economics.
The signal: As AI collapses the cost of building software, startups are racing to own the harder, more valuable step — turning products into paying customers. Runable's bet is that small businesses want outcomes, not tools.
Image credit: Runable
