MailLoop is an AI agent that researches prospects, writes hyper-personalized emails, handles replies, and books meetings — 24/7, without a single manual keystroke.
The agent scans LinkedIn, company news, hiring signals, and funding data for every prospect. It builds a complete picture before writing a single line — so every email feels like it came from someone who genuinely researched this person.
Sarah,
I saw your post about the scaling challenges at Cloudbase — specifically the comment about nights spent debugging distributed system issues that worked fine until they didn't.
Most Series B engineering teams hit this wall around the 20-30 engineer mark. The pattern is always the same: tooling built for a smaller team, growing headcount, and infrastructure that wasn't designed for where you're going.
We've been working with teams like yours — 15-50 person engineering orgs who just closed a round and are now trying to scale the system, not just the headcount. Would you be open to a 20-minute call to compare notes?
Best,
Alex
Every email is generated in real-time based on the prospect's actual context — not a template with a name swapped in. The agent picks the right angle, finds the real reason to reach out, and writes a first line that makes them stop scrolling.
The agent classifies every reply — interested, not interested, question, objection — and responds appropriately. Warm leads get booked on your calendar. Objections get handled. Questions get answered. You only get pulled in when it matters.
Cold outbound is broken because it was designed for humans. Sequences that take hours to write. Follow-ups that never happen. Inboxes that pile up. Teams that cost a fortune and still miss half the prospects.
MailLoop replaces the SDR. Not the strategy. You still decide who to target and why. The agent does everything else — and it never needs a coffee break.