Next-generation model upgrades planning, generation and reward systems while introducing AI qualification and precision list building
SAN FRANCISCO–(BUSINESS WIRE)–Landbase, the agentic AI company transforming how businesses go-to-market (GTM), today announced the launch of GTM-2 Omni, its next-generation model for targeting and messaging that powers the Landbase platform. GTM-2 integrates the proven capabilities of GTM-1 Omni with breakthrough advances in natural language targeting and AI qualification to more precisely find, qualify and conduct omni-channel outreach to target audiences.
GTM-2 arrives as more tech companies incorporate reinforcement learning environments into AI agent development, a capability Landbase has deployed for the past two years and is core to its model. To enable more precise targeting and messaging, GTM-2 leverages vast reserves of business data, custom signals and campaign learnings.
“You shouldn’t need a PhD to grow your business—The GTM-2 Omni makes enterprise-grade targeting and messaging accessible to everyone,” said Daniel Saks, Co-Founder and CEO of Landbase. “AI should simplify GTM, not make it harder. With Landbase, finding your next customer is as easy as chatting with AI.”
This upgraded domain-specific model is another example of how Landbase is ahead of the curve within the GTM space: The company was the first to introduce natural language targeting for GTM, featuring an easy-to-use interface, coined as VibeGTM, which is available to try for free.
What’s New in GTM-2 Omni
- Upgraded Omnichannel Messaging – Enhanced Planning & Decisioning Models, Generator Models and Prediction & Reward Models now run on new system prompts for faster iteration, more personalized messaging and higher conversion rates.
- Natural Language Targeting – A large new dataset enables users to define audiences in plain English (e.g., “mid-market U.S. healthcare companies hiring in compliance”), qualify with AI and expand campaigns to 10,000+ prospects in minutes.
- Precision List Building – GTM-2 leverages 30,000 custom signals, 1,500 business data points, and over 600M contacts, enriched by training on 50M+ campaigns, to deliver the most accurate targeting available.
The advancements in the proprietary model were spearheaded by Landbase’s 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.
“With GTM-2, we’ve fused omni-channel intelligence with natural language targeting in a single model,” said Hua Gao, Chief Data Scientist at Landbase. “It gives businesses both the precision to qualify audiences and the power to engage them at scale.”
GTM-2 is at the core of the Landbase platform and available via subscription with a Starter tier that anyone can test immediately. To unlock the full functionality, enterprises can work with Landbase’s forward-deployed data engineering team, which embeds directly with GTM leaders to tailor the model and maximize impact.
GTM-2 is available today in the Landbase platform. To try for free, visit landbase.com.
About Landbase
Landbase is an Agentic AI company that helps businesses find their next customer. Its AI Lab has developed domain-specific GTM models to unify targeting and messaging for go-to-market. By combining machine intelligence with top human performance, the Landbase platform empowers businesses to scale their lead generation efforts autonomously, delivering proven success in improving conversion rates while lowering total cost of ownership. Founded in 2023 and headquartered in Mountain View, California, Landbase has raised over $42.5M from leading investors including Sound Ventures, Picus Capital, A*, Firstminute Capital, and 8VC.
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