Landbase Raises $12.5M to Automate Go-To-Market

Landbase, a pioneering agentic AI platform for go-to-market strategies, has emerged from stealth mode with $12.5 million in seed funding. The funding round was co-led by prominent investors including A*, 8VC, and First Minute Capital, with additional participation from Inovia Capital, Picus Capital, and General Catalyst. The platform aims to address the challenges faced by sales and marketing teams, which often struggle with manual processes and fragmented data, by automating and optimizing their workflows using advanced AI technology. The company is founded by industry veterans Daniel Saks and Emily Zhang, who bring extensive experience from successful startups like AppDirect and Oyster HR. Their team also includes machine learning experts with backgrounds from Stanford and NASA, ensuring a strong foundation in both technology and market needs. Landbase's proprietary GTM-1 Omni suite utilizes a unique approach called "Reinforcement Learning with Human and Performance Feedback," which enhances decision-making and task execution based on real-world performance metrics. Early adopters of Landbase have reported impressive results, including a sevenfold increase in conversion rates and a significant reduction in time spent on lead generation and marketing campaign development. This demonstrates the platform's potential to transform traditional sales and marketing processes, making them more efficient and effective. In response to the current oversaturation of SaaS tools, Landbase plans to release a series of free tools aimed at providing data-driven insights for go-to-market leaders. The company is also set to launch products that will automate both inbound and outbound marketing strategies, further solidifying its position in the agentic AI landscape.