Quack AI (Acq. by AUI)

Big news for Quack AI. We’ve been acquired by AUI™ (Augmented Intelligence). Deep gratitude to our team, customers, investors, and partners. At our core, both Quack and AUI share the same belief. Read more about it in the first comment. 

Most AI demos look great. Very few survive real customer traffic. This video shows how Moovit uses Quack AI in production to answer customer questions accurately and consistently, at scale. No scripts. No fragile flows. Just a trained AI agent operating on real knowledge, with clear escalation rules and full visibility for CX teams. This is what we focus on at Quack: • Production-ready AI, not experiments • Measurable resolution, not vanity metrics • AI that fits into existing CX operations, not around them If you’re thinking about moving from pilots to real impact, this is what “done right” looks like.

Customer support is still treated as a cost center in too many companies. Teams get overloaded, customers slip away, and everyone feels stuck in reactive mode. At Quack AI we look at it differently. As Nadav Kemper, our CEO, puts it: the moment you focus on true resolution rather than deflection, support starts driving growth instead of absorbing cost. Our work is built on that idea. AI that learns your product, your tone, your policies, and actually resolves issues end to end. When the repetitive work is handled with consistency and depth, your team gets to focus on the moments that build loyalty and retention. Support can be a growth engine. It just needs the right system behind it. Read more in the Forbes article by our CEO: https://lnkd.in/enjXcWjk

Most AI training is still rigid. It’s the equivalent of handing a new hire a 50-page rulebook and saying, "Good luck." But that’s not how people learn, and it’s not how your AI should learn either. The best training happens in context, through real conversations, real nuance, and real corrections during the actual flow of work. This is why we built Contextual Training at Quack AI. Instead of relying on static rules, your AI learns the same way you would coach a teammate: by seeing what good looks like, understanding intent and tone, and learning the actual steps your team takes to solve problems. Here’s how it works: when an agent misses the mark, you don’t just fix the response. You refine it. You adjust the tone, correct the steps, fix the policy logic, and then submit it. Quack analyzes the entire interaction and treats your correction as a new learning example. The improvement becomes immediate. Think about what you can teach this way: Company policies Multi-step recurring issues Your brand voice Escalation rules Each correction becomes a permanent upgrade to your agent's brain. And here is a pro tip from Doron Pryluk our COO: Don’t wait for major mistakes. Contextual training works even better on almost-perfect answers. Refining a good answer into a great one is the fastest path to aligning your AI with the standard your brand is known for.

Our COO, Doron Pryluk, presented “Support Reaching Infinite Scale” at the Customer Support Summit in London. The talk covers our CX 2028 vision and how AI will transform support operations over the next three years with the tech stack we are building at Quack AI. Full keynote video is in the comments.

At the Customer Support Summit, our COO Doron Pryluk shared a story that perfectly captures why Quack AI exists. Before joining us, Doron spent years leading large CX and operations teams. He sat exactly where many of our customers sit today: evaluating endless tools, trying to connect systems that solved one problem while creating three new ones. He was Quack’s ideal ICP long before he ever became our COO. And then came the moment that changed everything: Nadav Kemper our CEO and co-founder pitched Quack to him for the first time. Instead of another point solution, he saw something different. A real operating system for customer experience: one platform, end to end, connecting knowledge, training, proactive AI agents, quality, and resolution. Holistic by design, not patched together. That clarity is what brought him to Quack, and it’s the same clarity that drives how we build today. CX leaders have been waiting for an OS. We’re building it.

Yesterday, our COO Doron Pryluk took the stage to share Quack AI’s vision for the future of CX: a world where AI and humans operate as true teammates, elevating each other rather than replacing one another. A world where support shifts from reactive firefighting to proactive, predictable systems that make customers feel genuinely cared for. The response in the room said everything. Dozens of CX and operations leaders arrived at out booth afterward to exchange ideas, challenge assumptions, and dig into how Quack is helping companies build AI-driven support that actually works in the real world. These conversations matter because they show how quickly the industry is evolving. Teams aren’t just curious anymore. They’re ready to build. A huge thank you to everyone who joined, asked sharp questions, and stayed to continue the discussion. Last keynote of the year for us, and a strong finish. If you’re at the Customer Success summit in London, come meet the team today on the final day and see what we’re building at Quack AI.

Today we’re introducing Enrichments, a new way for CX teams to turn every customer interaction into structured, reliable data without adding work for agents. Most support teams call themselves data driven, yet they still depend on manual tagging and inconsistent labels. Enrichments solve this by letting AI automatically add structured insights to each interaction, from product lines to churn risk to competitor mentions. Here is how it works. You define the question you want the enrichment to answer. You decide if it should run on tickets, chats, or both. You choose the possible outputs. Quack then generates the enrichment and shows you a preview of how it classifies real conversations. You refine it until it matches your team’s way of thinking. Then you toggle it on and the enrichment runs automatically. The result is a CX operation where every new interaction arrives enriched with the exact data points your team needs. You see richer insights in ticket views, more precise automation, smarter Trackers, and stronger Explore dashboards. From reducing manual tagging to detecting early churn signals, Enrichments let teams work with clean data from day one. Wanna learn more? DM us.

Customer experience is changing fast, and the companies planning ahead are the ones who will define the next era of support. On December 3–4 we’re heading to the Customer Success Summit in London, where our COO Doron Pryluk will lead a workshop (tomorrow) titled CX2028: A Roadmap. This session is not a demo. It’s a strategic look at where CX is going, how proactive AI will reshape operations, and what teams can do today to get ready for what’s coming. And because we believe in the future of resolution, not deflection, we’re bringing something special with us. At Quack AI we don’t push customers away. We resolve their issues across every channel, with AI Agents trained on your workflows, policies, systems, and real data. Deflection is not customer experience. Resolution is. If you visit our booth and book a demo (or send us a referral), you’ll get one of our limited-edition “Ticket Deflection is a Crime” shirts. They’re bold, honest, and exactly what the industry needs to hear right now. If you’re attending the summit, come quack with us.