About Moat

We built this because the signal was there all along. Nobody was reading it.

Moat grew out of a simple observation made over years of working with sales teams: the most valuable intelligence a company has — the real objections, the actual triggers, the competitive landscape as your customers see it — lives inside your call recordings. And it sits there, unread, at scale.

Origin

2016

A hundred calls a day

At a YC-backed startup, a client support crisis turned into an unplanned experiment. Instead of building a support team, I handled all incoming calls personally — a hundred a day, for two weeks. By week two the founders were on calls with me. When we finally sat together and mapped what we'd heard, four separate root causes emerged. None of them were visible in the ticket data. Everything we needed to fix the problem was already in the calls.

2023

First Moat reports

The first intelligence reports ran for three companies. Results: a pricing objection pattern that changed how one company described ROI, a competitor positioning gap that became a new product feature, a churn early-warning signal buried in renewal calls.

March 2026

The report that changed everything

Moat analyzed 346 calls from Clean Design Co, a design studio I'd been running for years. The first line of the report read: "You are running a therapy practice disguised as a design agency." 73% of calls were clients seeking business validation, not design. The top trigger — "investors said the deck looked cheap" — appeared 39 times. The report's first recommendation: stop leading with design capabilities in your marketing. I closed the laptop and started building Moat full-time.

2026

moat.works

Moat is now available to any company with a call transcript archive. Your conversations already contain the objections, triggers, competitor signals, and win/loss patterns your team needs. They just haven't been read together. We do that.

The founder

Pk

Founder, Moat · LinkedIn

I ran 346 of my own client calls through Moat. The first line of the report stopped me: "You are running a therapy practice disguised as a design agency."

I'd been running Clean Design Co for years — design, brand, websites for startups. Good work. But the report had read all 346 calls together, not one at a time, and what it found was that 73% of those conversations weren't really about design. Clients weren't coming because they needed a website. They were coming because they needed someone to tell them their business made sense. "Investors said the deck looked cheap" showed up 39 times. "Need to look equal to Stripe" — 36 times. The report's first action item: stop leading with design capabilities in your marketing. That was the moment the product stopped being a side project.

I believe intelligence should be actionable, pattern recognition should be automated, and the best competitive advantage is the one your competitors can't replicate because it came from your own conversations.

Conversation is data.

Your customers don't communicate their real concerns in surveys or tickets. They communicate them in calls. This is where the intelligence lives.

Depth beats breadth.

Analyzing 500 calls together reveals what 500 individual call summaries cannot. The signal is in the aggregate. Most companies never look.

Intelligence should be actionable.

A Moat report is not a data dump. Every finding comes with a specific implication for messaging, process, or strategy. If we can't tell you what to do with it, it doesn't belong in the report.

Ready to find out what your transcripts know?

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