ColdIQ
- $8M
- agency running on it in production, every day
- 8
- live data sources the agent layer queries in real time
We become your AI revenue transformation partner and build the in-house AI revenue engine your team owns.
Contacts, company data and signals come in through custom APIs on as many data sources as the work needs, into your own database. Claude agents do the research and drafting.
Your ICP, your offers, your signals, every conversation and what converts, in one place.
Each salesperson preps, writes and follows up from it, in your brand and your voice.
Per-seat tools like Clay, ZoomInfo, Apollo, 6sense, Gong and Outreach come out. Your CRM, inbox and sending tools stay as your accounts.
We decide with you which moments make an account worth reaching now, and the engine watches for them.
A raise, a new leader, a change of tools, a team that's hiring. Each signal gets an owner and a play.
Contacts, company data and signals come in through custom APIs on as many data sources as the work needs, into your own database. Claude agents do the research and drafting.
There's no per-seat enrichment or intelligence tool in the middle, and the data stays in your systems.
The campaigns, how they're structured and the strategy behind them, built with your team.
Each one starts from a signal and an offer, runs through your Instantly and HeyReach, and is judged on what it booked.
Agents research the account, draft the message and prep the call, for every rep on the team.
A person approves what goes out, and every draft sounds like your company because it comes from the same brain.
The notes from each call become the follow-up and the CRM update in HubSpot or Salesforce.
Follow-up stops depending on someone remembering.
Every reply, call and won deal goes back into the brain.
What booked last week shapes who the engine looks for next week.
A live view of what each signal, campaign and rep produces.
You see where meetings come from without asking anyone for a report.
Every tool, seat and data source, and who actually uses what.
Where the money goes today: tools, data, headcount and agencies.
What actually produces meetings, read from your CRM and your calls.
What the engine replaces is written down in discovery, so the saving is something you can check.
Qualified meetings and pipeline by signal, campaign and rep, read from your own CRM.
What went out, what booked and what changes next week, gone through with your team.
Anfloy built an agentic outbound engine that captures buying intent from LinkedIn, enriches and qualifies it automatically, and reaches the right people with messages personalized to each one.
We build it inside your company, in your accounts, and your team owns it. Nothing has to move later.
It means rebuilding how your company finds, reaches and closes buyers on one AI revenue engine, instead of a stack of rented tools and reps who each work their own way. We start with discovery, then build the engine in your accounts for your team.
We map your stack (every tool, seat and data source), your spend on tools, data, headcount and agencies, and what actually produces meetings. That tells us what the engine should replace and what it should be measured on.
No. Your CRM stays the record, and so do Instantly, HeyReach and Granola if you use them. What usually comes out are per-seat tools like Clay, ZoomInfo, Apollo, 6sense and Gong, replaced by your own engine: custom data APIs, Claude agents and your own database, running in your accounts.
They do the research, the drafting, the call prep and the CRM updates for each rep. Your reps still run the conversations and close the deals. A person approves what goes out.
Against the baseline from discovery: what the stack cost and what produced meetings. We go through cost, qualified meetings and pipeline with your team every week.
You do. It runs on your cloud and your accounts, and your team works from it every day. We stay on to keep building it, and everything is documented.
A flat monthly fee sized in discovery, plus a share of what the engine produces. We agree the terms in writing before the build starts.
Start with discovery. Then we build the engine.
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