Runable Raises 21 Million Dollars to Scale AI Agents for Small Businesses
On 26 August 2026, Bengaluru-based Runable announced a 21 million dollar Series A round co-led by Susquehanna Venture Capital and Nexus Venture Partners, with continued participation from existing investors Together Fund and Array VC. The all-equity round valued the company at 65 million dollars post-money. Runable was founded in 2025 by Umesh Kumar and Saksham Sarda and has grown to 1.5 million users with a fifteen-person team — a ratio that would be structurally impossible without the automation-first architecture that defines the product.
From Browser Infrastructure to General-Purpose AI Agent
Runable did not start as a consumer-facing product. Kumar and Sarda launched the company as an AI infrastructure business, building browser technology designed to scrape and process data at scale — tooling aimed at developers building AI pipelines. Their users, however, increasingly used the underlying browser-based agent to create assets: slide decks, websites, marketing copy, and business plans. That pattern was a signal. Rather than continue serving developers, the founders pivoted toward the end users who were already treating the product as a business assistant.
The rebuilt product allows a small business operator to instruct an AI agent in plain language to find new customers, run advertising campaigns across platforms, build presentations, and handle promotional outreach. The pivot proved commercially decisive. Runable launched payments in March 2026 and reached a two million dollar annualised revenue run rate within three weeks of doing so — a rate of adoption that validated the product-market fit before the Series A closed.
Who Uses Runable and What Makes the Numbers Unusual
Runable's 1.5 million users are primarily small business owners working in two-person teams: cleaning companies, agencies, consultancies, and freelance service businesses spread across the United States, the United Kingdom, Japan, and Brazil. The user base is international from the outset, reflecting the broad applicability of the core problem — finding customers and managing marketing — rather than a geography-specific opportunity.
The fifteen-person team serving 1.5 million users is an unusually high ratio. It is possible because the AI agent handles tasks that would otherwise require substantial customer success staff to train individual users to complete manually. When the product itself executes the task rather than guiding the user through executing it, support and success headcount requirements fall dramatically. This architectural difference between AI-native products and conventional software is the mechanism behind Runable's capital efficiency, and it sets a reference point for other Indian AI product teams considering how to price and staff their own builds.
Why Nexus Venture Partners Led This Round
The co-lead from Nexus Venture Partners is strategically meaningful. Nexus has been one of the most consistent early-stage backers of Indian software companies building for international markets — Delhivery, Unacademy, Postman, and Whatfix are among its portfolio names. Runable fits that template: founded in Bengaluru, built for American and international small businesses, scaling with a lean team using AI to substitute for headcount that comparable SaaS companies would have needed to hire. Nexus's participation signals confidence that Runable's capital-efficient growth model is durable rather than an early-stage anomaly.
The 65 million dollar post-money valuation implies roughly thirty times the current annualised revenue, pricing in the expectation of continued rapid user growth and revenue per user expansion rather than steady-state margins. That multiple is consistent with early-stage AI-native businesses demonstrating high product-market fit rather than mature cash flow.
What Runable's Round Signals for India's AI Product Builders
Runable's raise demonstrates that the global small business automation market — historically served by workflow tools like Zapier or CRM platforms requiring configuration — is being disrupted at the product layer by AI agents that accept natural-language instructions and execute tasks end to end. The speed of adoption (1.5 million users in under a year) and capital efficiency (fifteen people) show that AI-native products can scale at rates that conventional SaaS in the same category has not matched.
For Indian software product companies building for international markets, Runable is a working example of what the funding thesis looks like in 2026: deep AI and infrastructure engineering skills, pointed at a high-volume global use case with a clear monetisation path, executed with minimal headcount by leveraging the AI layer to replace functions that earlier products required human staff to perform. The Nexus and Susquehanna investments are market validation that this template is fundable and competitive at the global level.
The Bottom Line
On 26 August 2026, Runable closed a 21 million dollar Series A co-led by Susquehanna Venture Capital and Nexus Venture Partners, valuing the Bengaluru-based AI agent platform at 65 million dollars post-money. Founded in 2025 by Umesh Kumar and Saksham Sarda, Runable helps small business owners find customers, run campaigns, and create marketing assets through a general-purpose AI agent. Its 1.5 million users and two million dollar annualised revenue run rate — reached three weeks after payments launched in March 2026 — were built by a fifteen-person team. For Indian AI product builders, Runable is a live reference point for how capital-efficient, AI-native product development from Bengaluru can compete and win at global scale.
Frequently Asked Questions
What does Runable do and who are its founders?+
Runable is a Bengaluru-based AI agent platform founded in 2025 by Umesh Kumar and Saksham Sarda. The product allows small business owners to give plain-language instructions to an AI agent that then executes business tasks: finding new customers, running advertising campaigns, creating presentations, and handling promotional outreach. Runable originally launched as an AI infrastructure business — building browser technology for data scraping — before pivoting to a general-purpose business AI agent after users repeatedly asked the product to create business assets rather than data pipelines. As of August 2026, the company has 1.5 million users and a fifteen-person team.
How much did Runable raise and at what valuation?+
On 26 August 2026, Runable raised a 21 million dollar Series A round co-led by Susquehanna Venture Capital and Nexus Venture Partners, with continued participation from existing investors Together Fund and Array VC. The all-equity round valued Runable at 65 million dollars post-money. The company reached a two million dollar annualised revenue run rate within three weeks of launching payments in March 2026, and its 1.5 million users are concentrated in the United States, the United Kingdom, Japan, and Brazil. The funding will go toward growth channels, expanding Runable Academy, and hiring across engineering, machine learning, and product functions.
Why is the Nexus Venture Partners investment significant for Runable?+
Nexus Venture Partners is one of India's most established early-stage venture firms, with a track record of backing Indian software companies that build technology for international markets — including Delhivery, Postman, and Whatfix. Nexus co-leading Runable's Series A signals confidence that Runable's model — a Bengaluru-based AI product team serving global small businesses with a capital-efficient, AI-native architecture — is consistent with the kind of internationally competitive Indian software business Nexus has historically funded. It positions Runable within the broader narrative of Indian engineering talent building globally competitive AI products rather than services.
What does Runable's growth model mean for Indian AI product companies?+
Runable demonstrates that AI-native products can scale to millions of users with minimal headcount because the AI agent handles tasks that conventional software would require human customer success staff to facilitate. Its fifteen-person team serving 1.5 million users is possible because the product executes tasks rather than teaching users to execute them — a structural difference that reshapes the economics of building and scaling software. For Indian AI product companies targeting international markets, Runable is a working example of the go-to-market and hiring model that is attracting institutional funding in 2026: deep AI engineering skills, a high-volume global use case, fast monetisation, and capital efficiency achieved through AI-first product design rather than headcount.
Written by
TechPillow Team
Sharing insights on technology, product development, and the Indian tech ecosystem.
