Landbase Announces the First Applied AI Lab for Go-To-Market, Solidifying Its Leadership in the B2B AI-native Landscape

Following the success of GTM-1 Omni’s launch, Landbase is doubling down on AI innovation—it has built a team of world-class experts, including unicorn founders, Ph.D.s and alumni from Salesforce, Meta and NASA, to advance workflow automation, data intelligence and reinforcement learning for go-to-market execution

Landbase, the leader in agentic AI for go-to-market (GTM), today announced the launch of its Silicon Valley-based Applied AI Lab, an elite team dedicated to advancing GTM. This launch expands Landbase’s strategic investment in its GTM-1 Omni model and Landbase platform.

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The Applied AI Lab arrives on the heels of Landbase’s successful launch of GTM-1 Omni, the first and only agentic AI model built specifically for GTM. Pre-trained on over 40 million B2B campaigns and sales interactions, 24 million companies, 220 million contacts and 10 million signals and events, GTM-1 Omni has already been automating thousands of campaigns across industries while reducing costs, increasing speed and improving conversion rates.

“Innovation is only as great as the team behind you. That’s why we created the Applied AI Lab and brought on world-class AI and ML experts to continue advancing and refining the GTM-1 Omni model,” said Daniel Saks, CEO and co-founder of Landbase. “The Applied AI Lab is more than a research and development initiative; it’s where AI meets execution. With it, Landbase is strategically paving the way for more cutting-edge breakthroughs in the agentic AI-powered GTM space, fulfilling our mission to automate and scale GTM efforts efficiently. Our Applied AI Lab is just the beginning.”

Meet the Applied AI Lab team

Led by Chief Data Scientist Hua Gao — a Stanford Ph.D. and co-founder of EverString, which was acquired by ZoomInfo — the Applied AI Lab brings together top AI researchers, machine learning engineers and workflow automation experts to further expand GTM-1 Omni’s capabilities. The Applied AI Lab further advances Landbase’s mission to engineer autonomous GTM systems that drive real revenue impact.

The rest of the Applied AI Lab team possesses a vast history of working in machine learning, AI model development, large-scale automation, AI-driven decision-making and sales intelligence for noteworthy companies, including Meta, YouTube, NASA and Crunchbase.

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“We’ve assembled a uniquely qualified team of AI engineers and researchers with deep expertise in building robust, scalable systems,” said Gao. “The composition of this team, spanning applied machine learning, large-scale automation and workflow orchestration, is purpose-built for the complexity and promise of agentic AI to accelerate the next wave of GTM innovation.”

Areas of focus for the Applied AI Lab

The Applied AI Lab will focus on three primary areas:

• Planning and Decisioning Models: Orchestrate workflows across various tools, utilizing private knowledge to determine optimal campaign strategies.
• Generator Models: Create hyper-personalized messaging tailored for omni-channel outbound, inbound, and ad campaigns.
• Prediction and Reward Models: Understand actions in context to anticipate prospect perception, improving conversion rates and reducing irrelevant outreach.

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