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Lab378 is an applied AI lab. We design, build, and run conversational AI that does real work: systems that run on real traffic, with real customers, every day. Our clients have generated $26M in qualified pipeline with Lab378 sales AI, taking leads from cold to sales ready. We work with businesses where conversations outpace people: high volumes of inbound calls, leads that go cold before anyone replies, service teams answering the same questions, diaries run on phone tag, and CRMs nobody keeps up to date. What we build Sales AI replies to every lead in minutes, qualifies intent and timing, nurtures leads that are not ready, and books the next step with the right person. Service AI replaces IVR phone menus with AI voice agents customers simply talk to. It resolves routine calls and messages end to end and hands complex cases to your team with full context. Operations AI connects your CRM, documents, and processes so AI acts from real context and routine work runs itself. Every system works across voice, SMS, email, and web chat, and runs on our Workflow Intelligence Repository: a system of record that builds itself from what actually happened and keeps your CRM correct without manual updates. Proven in production We built Livia, our AI product line for US real estate. The Livia Inside Sales Agent has lifted lead engagement by 37% in live brokerage pilots and brought median response time under four minutes. Livia Match, AI MLS search that weighs everything a buyer needs, launches at RESO in October 2026. How we work Every engagement starts with strategy and architecture, before any code. We build on proven components, launch in phases, and keep improving after launch. Anything with legal or reputational risk goes to a person for sign off. AI that does real work.

Website https://www.lab378.ai
Employees 4 (2 on RocketReach)
Founded 2025
Industry Technology, Information and Internet

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Gary Smith is the CEO and Co-Founder at Lab378 | Conversational AI for sales, service, and operations of Lab378.

2 people are employed at Lab378.

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