Trayo AI

The first AI-native signals platform built specific to your business, so every human and agent acts on what's real.

[Trayo AI @Trayo_AI]

apollo says my prospect "showed intent"

he visited the pricing page

bro that's just curiosity

intent is when there expansion pressure mentioned on an earnings call, and they've recently listed 4 new SDR roles

[Trayo AI @Trayo_AI]

every signal vendor: "we have 50 intent signals!"

buyers: "ok, who do i call today and what do i say?"

the gap is the entire product

[Trayo AI @Trayo_AI]

We're just getting started. The team behind Trayo has been building in stealth, working with early enterprise design partners who helped us refine exactly what "useful signal" means for a sales team that's seen it all.

In the coming weeks we'll be sharing more about our approach to signal-based selling, the architecture behind what we've built, and the lessons learned from going deep with some incredible GTM teams.

If your sales org is drowning in data but starving for signal. If your reps are spending more time on research than on selling, we should talk.

→ https://t.co/OYn1X5THVx

[Trayo AI @Trayo_AI]

Your sales team has more data than ever and less signal than ever.

Every year there are more tools, more dashboards, more alerts, and somehow reps are still spending their mornings manually researching accounts, guessing who to call, and hoping their timing is right.

We built Trayo AI to fix that.

Trayo is live. Here's what we're building and why 🧵

[Trayo AI @Trayo_AI]

Let's be direct about what Trayo is not:
It's not data enrichment. We're not another database of emails and phone numbers.

It's not an AI SDR writing cold emails. We think spray-and-pray outbound, even AI-powered spray-and-pray is a race to the bottom.

And it's not a dashboard that adds to your team's tab count.

Trayo is signal infrastructure — the foundational layer that determines which accounts get attention, when, and why. It's the input layer that makes your reps, your agents, and your existing workflows dramatically more effective because they're finally operating on the right information at the right time.

Precision of inputs is the bottleneck. We solve that.