The Runable Series A funding, announced on 25 August 2026, puts $21 million behind a proposition that may sound obvious once you hear it: building a website is the easy part. Finding customers is the hard part. The Bengaluru-based startup wants to be the tool that does both.
The round was co-led by Nexus Venture Partners and Susquehanna Venture Capital, with existing backers Together Fund and Array VC also participating. The all-equity, primary funding valued Runable at $65 million post-money, according to co-founder and CEO Umesh Kumar.
Inside the Runable Series A Funding Round
Kumar and co-founder Saksham Sarda did not start here. Their first venture was an AI infrastructure play: browser technology built to scrape data at scale. Users kept asking the browser-based agent to build slide decks and websites instead. The founders took the hint and pivoted toward a general-purpose AI agent. Before Runable, Kumar had also co-founded the edtech startup SkoolStream, according to Moneycontrol.
The pivot delivered fast results. Within three weeks of launching payments in March, Runable reached a $2 million annualised revenue run rate. The platform now has about 1.7 million registered users, with the US, UK, and Japan its largest markets. Kumar expects Japan to emerge alongside the US as a top market as soon as next month.
‘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.’
Beyond the Build: Ads, SEO, and AI Chatbot Visibility
Runable’s agent handles website and app creation, presentations, deployment, and analytics through natural language prompts. The ‘grow’ layer it is now building out extends to paid advertising across ChatGPT Ads, Meta, Google, LinkedIn, and TikTok, as well as social media management, cold email, direct messaging, and voice calls, Moneycontrol reported. The longer-term goal is for a small business owner to instruct Runable to acquire a specific number of customers and let the agent handle everything else.
Nexus Venture Partners partner Jishnu Bhattacharjee framed the investment thesis plainly: ‘Most AI tools stop at output. Businesses need outcomes: customers, revenue, cash in the bank. That’s what Runable’s general-purpose autonomous AI agent does: not just automate software creation but build, run, and grow a business,’ the company’s official blog quoted him as saying. Susquehanna VC partner Sai Araveti put the competitive framing differently: ‘AI made starting a business nearly free. Running one is still the expensive part, and that is the gap Runable closes, with an agent that not only helps in building your website but actually helps in getting your customers and retaining them, within a budget the owner sets.’
Nexus brings particular weight to early-stage India-US bets. The firm closed its eighth fund at $700 million, focused on early- and growth-stage startups across both markets, VCCircle reported.
The new capital will go toward expanding Runable’s growth capabilities: adding marketing channels, improving campaign measurement, and building the ability for its AI agent to identify and execute campaign changes independently, Moneycontrol noted.
There are real limits to acknowledge. In a test conducted by TechCrunch, Runable was asked to build and deploy a website for a fictional coffee subscription business, set up analytics, and attract its first 100 visitors on a $25 advertising budget. Runable built the site and prepared a campaign but stopped before running it, citing the need for a connected advertising account. The startup says running ads without a customer’s own account is currently available for ChatGPT ads specifically, through undisclosed partnerships it describes as a ‘soft wedge.’
The economics are a work in progress. Runable currently runs negative gross margins, partly because it subsidises AI usage for customers. Users consumed more than 1 trillion tokens over the last 90 days, with 60% to 70% of that usage coming from paying customers. Kumar is counting on falling inference costs to close the gap. ‘We are seeing this path where you can provide the same quality of inference at almost 10x less cost,’ he said.
The startup’s 15-person team is operating in a market that Anthropic, OpenAI, and a cluster of coding platforms are each pushing into. Kumar’s argument is that none of them are solving the full-stack problem for a nontechnical small business owner. General-purpose agents such as Manus and Genspark are the competitors he watches most closely, he said, because they target the same users. The distinction Runable is pressing: helping a business find customers using AI, rather than simply helping it build with AI.
Whether that distinction holds as the larger model providers extend their own agentic products is the question the Series A is essentially funding Runable to answer.
