Direct ads get scrolled past. AI joins your audience's chats and recommends your product like a regular member. Cheaper clicks, warmer leads.
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No slide decks and reports: a working stack built for your task.

AI finds chats where your audience lives, reads the discussion and waits for the right question. Then it recommends your product as a regular member. People read it instead of scrolling past: more touches, lower cost per click.
You set the product and the boundaries. AI runs the seeding around the clock. First touches come within 3-5 days.
AI finds topical chats where your audience actually talks and filters out dead ones. You get a map of active groups worth seeding.
AI reads the context, waits for the right question and recommends your product like a regular member. The message gets read, not scrolled past.
Interested users go to your offer. The report shows chats, reach, clicks, leads. Weak chats get swapped for new ones.





Four reasons an AI-unit stack outruns manual marketing.
Reviews from working with neurounits on specific growth jobs.
Three latest posts on how it works.



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.