AI writes, sequences, and replies to cold and warm-up campaigns like a real person.
Discuss your task
Blog posts: the mechanics, the numbers and the limits.

Why AI-run seeding inside topical Telegram chats pulls more qualified traffic than direct ads, and why readers never flag it as promotion.
Three steps from brief to a steady lead flow: no headcount bloat, no manual routine.
We audit the funnel, numbers and bottlenecks. The goal is set in metrics: cost per action, volume, timeline.
We assemble a stack for the task and ship it in days. AI runs the operations around the clock.
We track cost per action, cut what underperforms, double down on what works. Then scale without losing quality.





Four reasons an AI-unit stack outruns manual marketing.
Reviews from working with neurounits on specific growth jobs.
That is our job to prevent. Agents warm accounts up first, send at a human pace with natural gaps, rotate senders and stay inside per-account limits, so deliverability holds and accounts stay alive instead of getting flagged in week one.
You give us the offer and the ideal client. Agents build the target list, read each prospect's context and write a first message tied to their business, not a mass template. Every reply is answered in the thread until the person asks for a call or opts out.
Sending starts within days once accounts are warm and the list is built. First replies usually land in the first week or two, and volume climbs as agents learn which openers and follow-ups pull requests. You see conversations and booked meetings in a shared report, not a vanity dashboard.