Ava 2.0

<p>Hey PH 👋</p><p><br>I'm Jaspar, co-founder and CEO of Artisan. I started my first business at 7, selling candy from my bedroom. Since then I've raised $36M+ to build AI employees and we're currently at ~$10M ARR.</p><p><br>Some of you might remember our first PH launch in February 2024 when we first launched Ava the AI BDR.</p><p><br>Today we're releasing Ava 2.0. We rebuilt her from the ground up and she is now fully autonomous and she runs your entire outbound on autopilot. She finds leads, sends personalized outreach, handles objections, and books meetings on your calendar. No human in the loop.</p><p><br>She searches through 300M+ contacts, enriches every lead, and watches for intent signals like funding rounds and leadership changes. She launches personalized multi-channel campaigns, runs continuous multi-variate tests, and auto-optimizes toward what converts. When a prospect replies, Ava reads the response, handles objections, answers questions, and books the meeting.</p><p><br>With Artisan, the entire sales stack lives in one place. Lead discovery, enrichment, signals, sequencing, a dialer, and deliverability infrastructure. All in one platform.</p><p><br>She's already running outbound for thousands of reps at companies like Corgi, SaaStr, Quora, and CookUnity.<br></p><p>🎁 For the PH community: new users get $300 in free credits. No credit card required. <a href="http://artisan.co" target="_blank" rel="nofollow noopener noreferrer">artisan.co</a></p><p><br>Jaspar</p>

<p>with ava running fully autonomous multi channel campaigns on autopilot, how are you guys managing local domain safety under the hood? sending huge volumes of automated personalizations can flag spam filters fast if the inbox infrastructure isn't airtight. good job team</p>

<p>The hard part with an autonomous BDR is not “can it send more?” It is whether the system knows when not to send.</p><p></p><p>For a tool like Ava, I’d want the review layer to make a few things very visible before outreach goes out: why this account, why now, what evidence supports the angle, what would make this a bad fit, and what the fallback is if confidence is low. Learning from ignores and bad-fit replies matters as much as learning from booked meetings.</p><p></p><p>That’s the line between useful outbound automation and just scaling the same spray-and-pray problem with better copy.</p>

<p>Looks interesting. The data with Eva covers for niche industries like local small businesses as well or its more relevant for B2B startups and the likes?? </p>