Startup profile for Runable: latest funding, latest known valuation, total disclosed funding, investors, status, sources, and why the company is interesting. Part of the Venture Capital Tracker startup directory.

Startup profile · funding coverage

Runable funding, valuation and investors

Bengaluru AI agent that builds SMB products and aims to grow them with ads and distribution.

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Funding, valuation & investors

Answer-first snapshot

Latest funding

Series A

$21M · August 2026

Latest known valuation

$65M post-money

Series A · August 2026

Total disclosed equity funding

$21M

Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.

Current status

private

series a · Bengaluru, India

Investors in latest funding

Lead: Susquehanna Venture Capital , Nexus Venture Partners

Other: Together Fund , Array VC

Sources: latest funding Last verified: 2026-08-27

Overview

Runable is a Bengaluru AI agent platform founded in 2025 by Umesh Kumar and Saksham Sarda. On August 26, 2026 it raised a $21 million Series A at a $65 million post-money valuation co-led by Susquehanna Venture Capital and Nexus Venture Partners, with Together Fund and Array VC returning. The product builds sites/apps/content and is extending into growth workflows (ads, SEO, social, AI-chatbot presence) for nontechnical small businesses.

Why Runable is interesting

August 2026 $21M Series A at $65M post co-led by Susquehanna VC and Nexus — Together Fund returning — with CEO-disclosed negative gross margins while chasing SMB customer outcomes.

Product & use cases

General-purpose AI agent for building and operating small-business digital presence, expanding into paid growth channels.

  • SMB website/app/deck generation with hosting
  • Ad campaign preparation and growth-agent workflows
  • Multi-model chat and content generation via credits

Key facts

  • Series A (Aug 26, 2026): $21M at $65M post; Susquehanna VC + Nexus co-lead (TechCrunch)
  • Together Fund and Array VC returning
  • ~1.7M registered users; claimed $2M ARR within 3 weeks of March payments launch (CEO)
  • Negative gross margins disclosed while subsidizing inference

Funding history (newest first)

Series A

2026-08 $21M Valuation: $65M post-money

Source: https://techcrunch.com/2026/08/26/runable-hits-21m-to-bet-ai-agents-can-go-from-building-businesses-to-growing-them/

Investors in our directory

Funds linked from Runable's profile — open a fund page for stage focus and related deal articles.

Competitive landscape

Edge: Outcome framing for nontechnical SMBs (customers/revenue) versus coding-agent tools aimed at developers.

Binding constraints are inference COGS and completing end-to-end paid acquisition without brittle ad-account handoffs.

  • Lovable / Cursor / Replit adjacent

    Stronger build-software products; different primary user.

  • Manus / Genspark direct

    Closest general-purpose agents per CEO.

  • Traditional digital agencies incumbent

    Human CAC baseline Runable tries to undercut.

Notable stories

  • CEO told TechCrunch users consumed >1 trillion tokens in 90 days, with ~60–70% of usage from paying customers.

Industries

AI & Machine Learning Enterprise SaaS Consumer

Related funding articles

Venture Capital Tracker pieces that cover Runable's financing or category context.

FAQs about Runable

Practical answers founders, operators, and investors typically search for.

Runable is an AI agent that helps small businesses build digital products and aims to grow them via marketing and distribution workflows.
Series A (Aug 2026, $21M @ $65M post) co-led by Susquehanna VC and Nexus, with Together Fund (/fund/together-fund) and Array VC returning.
Series A private company founded in 2025.
CEO declined current revenue; cited an early $2M ARR print after March payments launch and ongoing negative gross margins.
Private as of August 2026.

By Venture Capital Tracker

Last updated:

Editorial note: AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.