How Karumi Handled 8,000 Demos in 6 Weeks Using Its Own AI Agent

The company building AI-powered demos for SaaS decided to test its product the only way that matters: on itself.

The Problem We Built Karumi to Solve

At StackAI, we watched the same pattern repeat every week.

The product team would ship new features. Sales would demo last month's version. Prospects would ask questions about capabilities that had been live for weeks, and the AE wouldn't know to say yes.

Worse, inbound leads would sit in a queue for days waiting for a demo slot. By the time someone reached out, half had already moved on to a competitor.

The GTM engine couldn't keep pace with the product. We were leaving revenue on the table.

Pablo and I knew this problem was costing SaaS companies millions. So we quit our jobs, applied to YC at the last minute, and spent three months building the solution.

The Validation: Using Karumi to Sell Karumi

We launched Karumi on November 10, 2025 - right in the middle of YC.

The obvious question: could our AI agent actually handle our own demos?

If we couldn't trust it to sell our product, why would our customers?

So we embedded the Karumi agent directly into our signup flow. Every inbound lead got an instant, personalized demo - 24/7, no wait time, no calendar link.

The Results: 8,000 Demos, Dramatically Shorter Sales Cycles

In six weeks, our AI agent handled 8,000 product demos.

But the real impact wasn't volume - it was velocity.

Before Karumi, a typical B2B SaaS sales cycle looks like this: ➡️ Discovery call (30-45 min) ➡️ Product demo (45-60 min) ➡️ Technical deep-dive (30-45 min) ➡️ Pricing discussion (30 min) ➡️ Close call

With Karumi handling demos and qualification, our sales cycle collapsed to 1-2 calls.

Prospects showed up to the first human conversation already educated on the product, already qualified, already sold on the value. They just wanted to know:

1. How do we implement this in our company?

2. What does it cost?

That's it.

The AI had done the heavy lifting - explaining features, answering technical questions, demonstrating use cases, and qualifying fit. Our team focused on what humans do best: implementation strategy and closing deals.

What We Learned (And What Our Customers Are Seeing)

Using Karumi to sell Karumi taught us three things:

1. AI can handle complexity. Our product is technical. The demos require explaining orchestration, integrations, and deployment. The AI handled it.

2. Prospects prefer instant demos. Given the choice between "book a call for next Tuesday" and "see it now," they choose now. Every time.

3. This works at scale. 8,000 demos in six weeks would require an army of AEs. We did it with an AI agent and a two-person founding team.

Our customers are seeing the same results. SaaS companies using Karumi are serving their entire inbound funnel—enterprise and SMB - without scaling headcount. They're shortening sales cycles, improving qualification accuracy, and closing deals faster.

The Meta Insight

The best proof that Karumi works?

We used it to sell itself during the most intense three months of our lives.

It handled 8,000 demos while we built the company, talked to customers, and iterated the product. It never missed a lead. It never gave an outdated demo. It never burned out.

If it can sell a complex AI product to technical buyers during a YC batch, it can handle your demos too.