We’re building a future where GTM software works for us. Not the other way around.
Imagine a world where your GTM software works for you, not the other way around. Where campaigns launch in minutes, not months. Where machines handle the repetitive tasks while humans focus on building relationships.
We're pioneering autonomous go-to-market to help you reclaim your day. At Landbase, we believe sellers should be more human, marketers more creative, and everyone should focus on what they do best. That's why we're building a world where relationships and trust come first, powered by machines that handle the repetitive work.
Unlike traditional approaches that require constant human input, our platform orchestrates the entire GTM workflow with minimal supervision—delivering results that speak for themselves: campaigns launch in minutes instead of months, costs drop by 80%, and conversion rates improve 4-7x compared to traditional approaches.
While companies like Rippling and Ramp revolutionized their industries by bringing together multiple functions, we're doing the same for go-to-market by uniquely combining proprietary AI models (GTM-2 Omni), a sophisticated multi-agent system, and a comprehensive product portfolio that previously would have required 15+ separate vendors—all through a single, intelligent interface that requires minimal human oversight.
We've built a team that's been there. People who've constructed unicorn companies, developed AI systems at scale, and felt the frustration of traditional GTM processes firsthand. Our team brings together backgrounds from AppDirect, ZoomInfo, NASA, Carta, and other organizations where we've learned what works.
Daniel Saks is the co-founder and CEO of Landbase. He was the co-founder and co-CEO of unicorn company AppDirect, the leading subscription commerce platform for selling technology services. Daniel was named to Forbes 30 Under 30 list, has been recognized by Goldman Sachs as one of the most exceptional entrepreneurs and is a frequent speaker at prominent industry conferences including Web Summit, CogX, CeBIT, and MWC. He advises Fortune 500 executives on software distribution and cloud strategies. Daniel graduated from McGill University and sits on the Principal’s International Advisory Board. Daniel's passion now drives him to lead Landbase, a stealth AI company.
Emily is the Co-Founder at Landbase. In this role, Emily is responsible for product strategy and development, user experience, and customer success. She brings over 15 years of experience in product development and business strategy. Before Landbase, Emily was on the founding team at Oyster HR where she led the product and design teams. Oyster HR reached unicorn status in under two years. Emily holds an MBA from Harvard Business School and a B.Com/LLB from the University of Sydney in Australia.
Hua is the Chief Data Scientist at Landbase. Prior to Landbase, he held technology leadership roles as Director of Machine Learning at ZoomInfo and Co-Founder and Chief Scientist of EverString Technology. He has over 15 years of experience in large scale machine learning, deep learning, and big data, specializing in natural language processing and generative AI applied to B2B data, sales, marketing, and revenue operations. Hua earned his PhD in Electrical Engineering from Stanford University as a Cadence Design Systems Fellow, and BS in Electrical Engineering and Computer Science from Columbia University.
Located in the heart of Silicon Valley, our Applied AI Lab is where cutting-edge research meets practical application. The lab houses people who've built recommendation engines for YouTube, contributed to PyTorch at Meta, and developed systems at NASA and Crunchbase. Their work powers GTM-2 Omni, trained on 40M+ B2B campaigns and 175M+ sales conversations.
Our Applied AI Lab is not just an R&D initiative—it's where AI meets execution. We don't just theorize about AI-driven GTM; we build, deploy, and prove it in the field with GTM-2 Omni, the industry's most advanced autonomous GTM platform.
Our team includes:
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