Landbase offers an agentic AI platform specifically designed to automate and orchestrate go-to-market workflows, powered by its proprietary GTM-1 Omni suite of specialized large language and action models. The company uses an approach it calls "Reinforcement Learning with Human and Performance Feedback" to combine human input and outcome-based performance data to improve decision-making and execution. Early customers report a 7x higher conversion rate versus traditional OpenAI models for outbound lead generation, a 70% reduction in time spent per generated lead, and dramatically shorter campaign development times. Landbase exited stealth with $12.5M in seed funding to accelerate product development and go-to-market expansion. The company plans to release free GTM tools beginning with the Landbase GTM Trust Score and will launch a series of products to automate omni-channel inbound and outbound GTM strategies. The founding team includes Daniel Saks (co-founder & CEO), Emily Zhang (co-founder), and founding ML PhDs with Everstring, Stanford, and NASA experience.

Total raised

$13M

Funding rounds

1

Latest round

Seed

Latest activity

Sep 2024