Ami AI

Yuriy here, co-founder and CEO of AiSDR, 2x YC alumni. I once paid an outbound agency $30,000 and got zero meetings in 6 months. Then I built an AI SDR, sold it to 1,153 companies, and watched 80% of them get the same result, but faster and cheaper. The emails were fine. Nobody, including our software, solved the core problems - who should get them and why should they care to respond. AI SDR industry overpromised and underdelivered and people hated it. Ami is the thing I wish I could hand to every customer who trusted us in 2023 and got a fast way to fail. Here's what it looks like. You give it your website. It comes back with three campaign ideas, each with a signal behind it and a reason it thinks this one is likely to deliver results. That answer is not yet another AI slop. It's rooted in 17,707 campaigns we've run across 27 industries that booked 19,854 qualified meetings. You say "actually, I want every salesperson in Europe." It tells you that the audience has booked zero meetings across all campaigns we've run, and hands you the version that will. You say "I need 100 demos by October." It gives you the leads, the infrastructure, and the week the plan breaks if one of them slips. You approve. It builds campaigns and runs them across email and LinkedIn. When a campaign starts dying it tells you which of three things broke (audience, message, or timing), proposes a fix, fixes it for you and remembers what you chose. It also suggests new ideas as it learns more about you and your business. It takes care of all the boring stuff - email infrastructure, deliverability, protecting your main domain and LinkedIn account from being blocked, reply classification and handling and dutifully reports all of it's activity into your CRM. Why this exists now and not two years ago: GPT-6 Astra. Models could write outreach for a while. What they couldn't do was hold a multi-step plan, check it against tens of thousands of real outcomes, and change course mid-flight without losing the thread. Astra, with it's 96.3% on million-token recall benchmark can. That's the reasoning layer; our three years of campaign data is what it reasons against. Numbers from three months of beta: $697M in pipeline influenced. And this one, a Solo user's first campaign: 18% of contacts replied, 47% of those replies were positive. I asked to see the dashboard before I'd say it out loud. Who it's for: first-time founders, first sales hires, teams that need to get started with outbound to grow pipeline, but where nobody has done outbound before. If you already have a great SDR team, you probably don't need us. Try it now. Point Ami at your website and you'll have your first campaign plan in about 15 minutes. No credit card, no demo. app.aisdr.com/signup Then come back and tell me what it got wrong. I want this to be the AI sales agent you've been waiting for, so if the targeting is off or messaging reads like AI slop or UX is bad - I want to hear from you and see screenshots and I promise - we will improve. I'll be in a thread all day and if you want to connect 1-1 to share feedback - you can grab a slot with me here: https://calendly.com/aisdr-intro...

We use Ami for our outbound, and it really works! You should try it if your focus is lead generation. Amazing product, amazing team behind it 🏄 Good luck!

Bohdan here, part of the team that built Ami let me tell what we saw from the engineering side and what we built because of it outbound was always a search problem, not a writing problem somewhere there is a combination of audience + offer + timing that works for your business nobody knows it on day one you find it only by testing, and every test costs you a week of setup so most companies run one, maybe two, get nothing, and say "outbound does not work for us" but they never actually searched teams who win at outbound are not better writers they just ran more experiments and until now the only way to run more experiments was to hire more people so that is what we went after -> make the search itself run by itself try an audience, read the result, kill what is dead, scale what works, try the next angle, and keep going while you are building your product turn on autopilot and you do not touch it. Ami plans, launches, monitors, adjusts, kills, scales. sending infra, warmup, deliverability, replies, crm sync, all of it and it does not start from zero: 17,707 campaigns across 27 industries already tell us which plays usually work where two honest things, because this category overpromised before guessing your icp from a website is right often enough to be useful and wrong often enough to be expensive, and the model sounds equally confident both ways. so the agent cannot rely on its own confidence -- it has to find out from real replies, on small volume first, and be ready to kill its own idea fast. that is the only honest way to run it on autopilot and the hard part was never the writing. it was letting an agent do things that cost money and cannot be undone -- a burned sending domain does not come back. early on it would report a campaign as failing when the real problem was that mailbox setup had quietly broken, so it was thinking clearly about a world that was not there. now it cannot judge a campaign until delivery is proven you can test Ami for free, no credit card needed and if anyone wants to see it from the engineering side -- just say the word and I will run you a demo ;)

Maryna, engineer on Ami. What still gets me is how little you have to give it. You paste your website and it comes back with who to write to, what the offer is, the messaging, the full sequence. It adjusts when something stops working. Ami learns from its own experience. We are also enhancing a wide range of playbooks tailored to various industries to be the best. You approve the plan. You don't assemble it. First customer campaign: 257 leads engaged, 14.8% positive replies, eight days. No human in the loop. Strange feeling about your own product. A good one. Break it and tell me how.