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Hamming automates the QA of voice agents. (both pre-deployment testing and post-deployment analytics) Making voice AI agents reliable is hard. A small change in prompts, function call definitions, or model providers can cause large changes in LLM outputs. We have a proven track record of helping enterprises win with AI. Sumanyu (CEO) previously helped Citizen (safety app) grow its users by 4X and grew an AI-powered sales program to 100s of millions in revenue/year at Tesla. Our eng team ranks #1 on https://workweave.ai/

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.