AGIV

Agentic GTM

Research-driven outreach.

AI agents that do deep account research before any contact is made. Personalized messaging that reflects what the agent actually learned. Multi-step workflows that adapt. Built for teams that value signal over volume.

[The problem]

Volume outreach is a race to the bottom

Most “AI outreach” tools solve the wrong problem. They make it easier to send more emails to more people. Clay-and-spray at scale. The result is predictable: your prospects get the same templated messages from dozens of companies, open rates collapse, and your domain reputation takes the hit.

If your deals are large enough that each contact matters, volume isn't the lever. The teams that win enterprise and mid-market accounts do it through relevance — knowing the account, understanding the contact's context, and reaching out with something that actually warrants a reply.

We build AI agents that do the research your best reps would do, then craft outreach that reflects it. Not more volume. Better signal.

What we build

The systems behind research-driven outreach

01

Account research agents

Agents that study a target account before any outreach happens. They pull from earnings calls, job postings, press releases, LinkedIn activity, technographic data, and public filings to build a picture of what the company cares about right now — not six months ago.

02

Personalized messaging

Not templates with merge fields. Messages composed from what the research agent actually found. The output reads like your best rep wrote it after spending thirty minutes on the account — because that’s effectively what the agent did.

03

Multi-step workflows

Follow-up sequences that adapt based on engagement signals. If a prospect opens but doesn’t reply, the next touch references a different angle. If they reply with an objection, the workflow routes to the right response. Sequences that think, not just wait.

[How it's different]

Quality over volume

The standard AI outreach playbook automates the assembly line: scrape a list, run it through a template, send at scale. That works if you're selling a $50/month tool. It doesn't work if your average deal size justifies a relationship.

Our approach starts with research, not contact. The agent studies the account — recent earnings calls, leadership changes, strategic initiatives, technology stack, hiring patterns — before a single message is drafted. Outreach is composed from what the agent actually learned, not from a persona template with merge fields.

The result is outreach your reps would be proud to send under their own name. AI that enhances your team's judgment rather than replacing it with a spam cannon.

[Best fit]

Who this is for

Agentic GTM works best for teams that:

Sales teams targeting enterprise or mid-market accounts where deal sizes justify personalized outreach
Organizations that have tried volume plays and seen diminishing returns on open rates and reply rates
GTM teams that want to scale quality, not just quantity — more relevant conversations, not more sends
Revenue leaders who know their best reps already do deep research and want to give that capability to the whole team

If your outreach strategy depends on sending thousands of generic emails, this isn't the right fit. If your strategy depends on reaching the right people with the right message, we should talk.

Start with your ICP

We begin by understanding your ideal customer profile, your value propositions, and your existing outreach data. The first agent we build is tuned to your specific market.