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At Lilac, we automate the person taking order at the drive thru with a voice AI. We're building this for Quick Service Restaurants (QSRs) dealing with an historical labor shortage and rising wages. Previous attempts at drive-thru voice ordering are costly to implement and have failed to deliver the accuracy and latency needed. It's now possible to build a voice interface that passes the threshold for a great customer experience. In the United States, there are 200,000 Drive-Thrus handling 6 Billion visits a year. At 3 minutes per order, that's 34,000 human years spent on taking orders annually. Per location, on average we can deliver around $100,000 of value in terms of labor savings, upsell revenue lift, and training costs.

Voker is a no-code platform that empowers product teams to build AI features in minutes without involving engineers. Companies like Lull.com and Dutch.com are using our platform to improve their consumer experience and retention. Alex and Tyler met at a high-growth E-Commerce startup where Tyler was running Technology & Data. Together, they built AI products that bootstrapped the company profitably to $100MM in Revenue. Alex experienced firsthand the broken developer experience in AI while building enterprise infrastructure at Yardi. Even with a dedicated ML team, it took too much time to build simple AI features. It was clear that if large companies were struggling with this, SMBs would definitely be left behind. We went directly to our network of SMB operators and found our hunch was correct. Within a week we had two paying customers even before launching our first prototype. Voker is built for product specialists who know they can delight their users with AI but can't spend engineering bandwidth on building those features. By making AI accessible and practical, Voker helps these businesses profit from this new wave of innovation.