Agents do not need more data. They need better inputs. Trayo is the signal layer that makes agentic outbound actually work.
You deployed an AI SDR. It sends emails. Lots of emails. The sequences are grammatically correct, personalized with scraped LinkedIn data, and sent at optimized times. Prospects ignore them anyway, because your agent has no idea whether someone is in a buying moment or not.
This is the input problem. Your AI SDR is executing on the same generic signals every other AI SDR uses: job changes, funding rounds, intent scores. The result is automated noise at scale. And the damage goes beyond low reply rates: your agent is burning accounts that your human reps spent months warming up, firing sequences at the wrong stakeholder during the wrong window, and eroding trust faster than any human could.
An AI SDR is only as good as the signal that triggers it. Feed it generic intent data and it automates generic outreach at scale. Feed it Trayo and it knows: this account just went through a team reorg that creates the exact pain your product solves. The new VP inheriting the problem has no existing vendor relationship. The competitive contract renews in 90 days. The time to reach out is now, with this angle, to this person.
Trayo does not hand your agent a score. It delivers a structured briefing: what happened, why it matters for your specific product, which stakeholders are affected, and what the recommended approach is. Your agent goes from "send a cold email to this person" to "reach out to this VP about this specific problem at this specific moment with this specific message."
The triggers that worked last month will not work next quarter. Markets shift. Competitor positioning changes. Buying committee structures evolve. Trayo's reasoning layer adapts continuously, so your agent's trigger quality improves over time instead of degrading.
Sends 500 emails a week. Two percent response rate. Most responses are "remove me." Pipeline created: minimal. Accounts burned: significant.
Sends 50 sequences a week. Each one timed to a real buying moment with a specific reason to reach out. Response rates above 15%. Pipeline created: real. Accounts protected: all of them.
Your AI SDR queries Trayo via MCP or API before every outreach decision. Trayo returns structured signal data: event type, relevance score, affected stakeholders, recommended messaging angle, and timing context. Your agent uses this to decide whether to reach out, who to contact, and what to say. No manual rules. No static lists. Intelligence as infrastructure.
“Trayo is not just signals, it connects the dots and makes the next action obvious. Its differentiation is combining broad data access with a GTM-specific layer that preserves context and eliminates noise, transforming campaigns and ABM into a dynamic, self evolving growth engine, continuously shaped by real time market shifts and precisely aligned to our offering.”
Ionix
“What I love is how crisp and clean it is. I can move fast and get a lot done in just two hours of prospecting.”
Data platform
“Trayo uncovers real-time changes across our reps’ accounts that would otherwise go completely unnoticed and delivers them as fully resolved opportunities: the right product, the right contact, the right message. Our sellers went from doing zero proactive account research to having a daily stream of actionable plays.”
Fortune 100 company
“The job posting insights have been huge triggers for me. One of them helped me re-engage a disengaged contact, that was awesome.”
Travel company