THE ROUND
● $21 million Series A, co-led by Susquehanna Venture Capital and Nexus Venture Partners, with Together Fund and Array VC continuing.
● $65 million post-money, all-equity and primary — no secondary component.
● The traction: zero to $2 million ARR in three weeks, 1.5 million users, a team of 15.
● Founded 2025 in Bengaluru by Umesh Kumar and Saksham Sarda.
The thesis
Umesh Kumar puts it in one line: building software stopped being the hard part.
That is not a controversial claim any more. Lovable, Replit, Cursor and half a dozen others made shipping a working product genuinely accessible in 2026. What none of them do is find you a customer once it exists.
THE GAP THEY ARE POINTING AT
Kumar's framing: nobody starts a business because they want a landing page. They start it because they want customers and revenue. Software creation got automated. Everything after it did not.
Nexus partner Jishnu Bhattacharjee puts the same point from the investor side: most AI tools stop at output, and businesses need outcomes.
What it actually does
Runable is one platform sharing context and memory across every task, split across three stages.
| Stage |
What it covers |
| Build |
Websites, mobile and internal apps, pitch decks, market analysis, prospect lists, marketing videos — with database, auth, payments and deployment included |
| Run |
Day-to-day operations once the product is live |
| Grow |
Paid campaigns across ChatGPT Ads, Meta, Google, LinkedIn and TikTok. Social content creation and scheduling. Cold email, DMs, and voice calls on a real phone number |
That last item is the differentiator. Lovable builds you an app. Runable will phone your prospects. Whether that is appealing or alarming depends entirely on who is on the receiving end — but it is not something the coding platforms are attempting.
The ChatGPT Ads channel is also worth noting. That surface barely existed six months ago, and being wired into it early is a real position rather than a feature-list entry.
The numbers, read carefully
Zero to $2 million ARR in three weeks with 1.5 million users is a genuinely startling launch. It also contains a detail worth sitting with.
| Figure |
What it implies |
| 1.5M users, $2M ARR |
Roughly $1.33 per user per year. The overwhelming majority are on free |
| $65M post on $2M ARR |
About 32x revenue. Punchy but not unusual for AI in 2026 |
| $21M into $65M post |
Roughly 32 percent dilution — higher than a typical Series A |
| 15 people, 1.5M users |
100,000 users per employee. Impressive, and a support surface |
None of that is a criticism. A three-week-old revenue line and a free-heavy user base is exactly what an early consumer-adjacent product looks like, and the round is explicitly meant to fix the conversion side. But "1.5 million users" and "$2 million ARR" describe two very different populations, and the gap between them is where the next year gets decided.
Where the money goes
- Growth capabilities — more channels, better measurement, and agents that identify and fix campaign problems independently rather than flagging them
- Runable Academy — a free module teaching business owners how to build and grow. Scaling free education alongside a paid product is a distribution play as much as a goodwill one
- Hiring — engineering, machine learning, product, growth and customer support. With 15 people serving 1.5 million users, that last one is not optional
The competitive picture
Runable is entering a field that includes Anthropic and OpenAI at one end and Cursor, Lovable and Replit at the other. Its argument is that all of them stop at the build stage.
That argument holds today. It is also the kind of gap a well-funded incumbent can close by adding features, and the coding platforms all have more capital. The defensible version is the operational depth — real phone calls, campaign management across five networks, shared memory across build and growth — because that is integration work rather than a model capability.
Worth reading alongside the broader agent data this month. Salesforce measured enterprise deployments going from five agents per organisation to thirteen, with seven in ten customer-service sessions handled autonomously and escalations flat. Agents work where a verification loop exists. A marketing campaign has one — it converts or it does not — which is a better fit than most agent applications.
Who it is for
| If you are... |
The read |
| A two-person agency or consultancy |
This is the stated core user. Many of its customers are teams of about two |
| Already using Lovable or Replit |
Different stage of the same problem. The overlap is the build half only |
| Uneasy about autonomous outreach |
Cold email, DMs and phone calls made by an agent carry real compliance questions depending on your jurisdiction |
| Evaluating it seriously |
Set the budget cap first. Agents running paid campaigns spend money without asking |
FAQ
How much did Runable raise?
$21 million in a Series A co-led by Susquehanna Venture Capital and Nexus Venture Partners, with existing investors Together Fund and Array VC continuing. All-equity and primary, at $65 million post-money.
What does Runable do?
A single AI agent platform that builds, runs and grows a business, sharing context and memory across tasks. It ships websites, apps, pitch decks and marketing assets with infrastructure included, then runs paid campaigns, social content, cold email, DMs and voice calls on a real phone number.
How big is the company?
Fifteen people, founded in 2025 in Bengaluru by Umesh Kumar and Saksham Sarda, with users across the US, UK, Japan and Brazil.
Is $2 million ARR from 1.5 million users good?
It works out at roughly $1.33 per user per year, so the overwhelming majority are on a free tier. For a product three weeks past launch that is normal; converting that base is what this round is for.
How does it differ from Lovable or Replit?
Those stop when the product ships. Runable continues into customer acquisition — ad campaigns, outreach and phone calls. The build half overlaps; the growth half is the differentiator.
What is Runable Academy?
A free module teaching business owners how to build and grow a business, which the company plans to scale with this round.