About · Why this exists

We built the tool
we couldn't find.

Every business with a phone has the same problem: too many leads, too few hours. We tried every off-the-shelf solution before we built this one. None of them returned a number you could actually trust. So we built one that does.

Five principles. They aren't marketing copy; they're decisions we've already made.

What we believe

Five things we won't argue about.

Output-first

Most sales tools sell you inputs — minutes, seats, contact records — and ask you to trust that activity equals outcome. Assay sells you the outcome: a scored conversation and, when warranted, a booked meeting. Volume is in the price; nothing else is metered.

One number per call

A conversation is high-dimensional. Sales teams are not. We compress every call into a single 0–100 Assay Score with the reasoning attached. Same rubric every time, auditable, decidable in a glance. If you can't score it, you can't systematize it.

Earn the keep on revenue

We don't pitch Assay as a way to shrink headcount. We pitch it as a way to work the list humans never get to. The ROI math on every page subtracts plan cost from gross recovered revenue. Nothing about "saved SDR salary," ever.

Inspectable at every hop

The pipeline is six discrete layers, not a black box with a chatbot inside it. You can read the transcript, see why the score came out where it did, and reproduce the decision plan from the same inputs. If you can't see how it works, you can't trust it in front of a regulator.

Name our limits

HIPAA workflow is on the roadmap without a ship date. We don't process data outside the US. We don't have a public bug bounty. These are choices, not gaps we hope you don't notice. We'd rather lose the sale than promise something we can't hold to.

And here's where we came from.

The origin

Started in market.
Refined by every edge case it hit.

The first version was a voice AI workflow built for the DACH recruiting market — outbound screening calls to applicants, structured scoring, automatic routing. It handled first contact end-to-end. It worked. It also showed us exactly where it needed to be better.

We spent the next year on that: tighter scoring across conversation types, the edge cases that break simpler approaches, regulatory differences between markets, integrations that hold up in production. Assay today is what came out of that process — the same core idea with everything unreliable removed.

We're not building "AI for sales." We're building a piece of infrastructure that handles the call so the humans can handle the relationship.

Where we are today

Customers, US & Canada

200+

Dental, lead-gen, home services, real estate, hiring, agency.

Calls processed, monthly

1.2M+

Inbound and outbound, across 47 US states and 6 Canadian provinces.

Median time-to-first-call after upload

9 minutes

From a list landing in the dashboard to the first dial going out.

Live in