Prospect discovery, personalised sequencing, reply monitoring and hot-lead handoff, running unattended, with a human brought in at the point where a human actually adds something.

Almost every outbound programme we're asked to fix is breaking in the same three places, and none of them are the email copy. The list goes stale within weeks. The personalisation is obviously a merge field, which prospects read as spam faster than any filter does. And replies land in a shared inbox where they sit until the intent has cooled.
The tooling market has optimised almost entirely for the send step, which is the one part that was never hard. What's hard is knowing who to contact this week rather than last quarter, writing something that references a real fact about their business, and reacting to a reply within the window where it still matters.
There's also a discipline problem the tools actively encourage. Sending more is the easiest lever to pull and the most expensive one to get wrong, burn a domain and you're not just paused, you're rebuilding sender reputation for months while your pipeline runs dry.
We build for the opposite default: send less, target harder, and put the engineering effort into discovery, enrichment and reply handling rather than throughput.
Not a job title and a company size. The specific, checkable signals that indicate someone has the problem you solve right now, hiring patterns, tech in use, funding events, expansion signals.
Prospects sourced and enriched against those signals continuously, so the list reflects this week rather than whenever it was bought.
Each message references a specific, verifiable fact about that company. This is where most automation gives itself away, and where the model earns its cost.
Hard volume limits, warmed domains separated from your primary, and staggered sending. Deliberately slower than the tools allow.
Every reply read and classified, interested, not now, wrong person, unsubscribe. Nothing sits unread waiting for someone to check a shared inbox.
A positive reply routes to a human immediately with the full thread and the prospect's context attached, while they're still at their desk.
Volume is the lever most likely to destroy the asset you're building. We cap sending deliberately, and we'll push back if you ask us to raise it past what the domain can carry.
A list bought once and mailed forever is how you end up with 40% bounce rates. Discovery runs continuously against live signals.
It gets a qualified, interested human to your sales team. Someone still has to close, and anyone selling you otherwise is selling a story.
We run it or we hand it over trained. It isn't another dashboard for somebody on your team to babysit between other jobs.
Outlia is our own product, a multi-tenant outbound engine running in production, used on Anqor's own pipeline. We route AI operations through a provider-agnostic layer so cheap classification work doesn't run on expensive models, which is the difference between an outbound system that's profitable to operate and one that isn't.
Because it's ours, when it needs to behave differently for a client we change the system rather than filing a feature request with a vendor.
The difference is what happens after send. Most tools stop at delivery and hand the reply problem back to you. This classifies every reply and escalates interest in real time. It's also our own product running on our own pipeline, so it gets fixed when it's wrong.
Separate sending domains from your primary, proper warmup, hard volume caps, and monitoring. We deliberately send below what the tooling would permit, a burned domain costs more than a slow month.
Yes. We build around what you run rather than asking you to migrate first.
Lower than a volume-first tool would promise, and with a materially better reply rate. We'll model it against your ICP size before you commit, if your total addressable list is 200 companies, outbound automation may be the wrong shape entirely and manual outreach is better.
Business-to-business outreach is generally permissible, subject to consent and unsubscribe requirements that vary by jurisdiction and by where your recipients are. We build unsubscribe handling and suppression in as standard, and we'd point you to counsel for a definitive position on your specific list.
We draft it, you approve it, and the system personalises within that approved frame. It doesn't improvise positioning.
Anqor is a small studio, so you deal with the person who builds it. If this isn't the right fit for your business, I'd rather say so on the first call than sell you something you don't need.
LinkedIn →If your addressable list is too small or your offer isn't ready, outbound automation is the wrong spend. That's a ten-minute conversation.