AI-native, signal-led outbound built for complex B2B markets.
We draw the edge of who can be sold to and count it against real databases: segments, thresholds, geography, the buying roles inside each account. The count is frozen before the first list is built, so nobody argues about the size of the market in month two.
An account joins the queue when something happened to it: a raise, a hiring pattern, a change of platform, a person moving into the seat. No signal, no message. That single rule is what keeps the volume low and the reply rate where it is.
Each touch has to name the fact it stands on, and each fact carries a link and a date. A sentence that stands on nothing is blocked before a human sees it, which is the difference between personalization and a merge field with a first name in it.
The hard part was never the sending. It is knowing who, why this week, and on what evidence.
A second attempt is a new launch, not an edit of the old one. Nobody in it can receive a second first touch.
There is no send, no start and no activate anywhere in the code, in any tool client. The machine can read that Start was pressed and nothing else, which is the only path from a prepared launch to a live one.
Approving a launch records a fingerprint of the whole brief. Editing the request afterwards stops the run rather than quietly producing something the approver never read.
Every paid call is written down before it goes out and corrected to the real price when it returns. A ceiling is set per launch, and a shortfall of zero means zero calls regardless of what was approved.
A touch is blocked if it references nothing, borrows someone else's fact, runs long, asks a question without asking one, or repeats another person's opening. Approval covers the package as one: move a target and it breaks.
Each of these closed a mistake that had already happened. None of them is a policy in a document.
The account, the buyer, the signal we opened on and the correspondence that produced it. You can check any one of them against the definition agreed before launch, and reject one that fails it.
Threads, objections and outcomes are written into your CRM as they happen, not summarised into our slides at month end. Your closers walk into a conversation that already has a history.
Domains and mailboxes are registered in your name, warmed and paid for by us during the term, and handed over on exit. Your main corporate domain is never used for cold outreach.
You hand over the companies and people nobody may approach, in any form you like including hashes or domains. An unsubscribe becomes permanent across every launch that follows.
Three channels: LinkedIn, email and Telegram. One sequence per person, never two.
$2M is pipeline, not revenue. Full write-ups at spicegtm.com/cases; the NDA name is verifiable on the call.
One small setup instalment covers infrastructure, data and operator time, and it is capped before launch. Everything after it moves with the result.
The segment, the buying roles, the definition of an SQL and how each one is evidenced. Attribution, the exclusion list, the monthly cap and both figures, in writing.
The first cohort sourced and screened, domains and mailboxes warmed in your name, signals wired, sequences written per micro-segment, your CRM connected.
We work the replies, log the objections and deliver each SQL with its evidence. Lists and copy are revised weekly against what actually came back.