Landbase builds an AI-driven “vibe GTM” platform that automates outreach marketing and campaign execution while keeping humans in the loop for edits and control. Its product is powered by OpenAI’s GPT-4o base model fine-tuned on data from 40 million marketing campaigns using reinforcement learning with human intervention, with that campaign data sourced via partnerships with marketing agencies. The company emphasizes building “digital trust” and targeted brand presence to improve outbound response rates rather than pretending the AI is a human. Landbase offers a permanent freemium tier that allows companies to automate campaign plans and messages; running campaigns at scale requires a subscription currently priced at about $3,000 per month. The team includes founder Daniel Saks, CPO Emily Zhang (formerly at Carta), and Chief Data Scientist Hua Gao (formerly at ZoomInfo). Since launching, Landbase grew from about 10 paid customers in December 2024 to over 100 paid customers and is positioning itself against competitors like Regie.ai, AiSDR, Artisan, 11x.ai, ZoomInfo and incumbents such as Salesforce, Microsoft, and HubSpot. Landbase is an agentic AI company that automates go-to-market sales and marketing workflows using machine learning. Its GTM-1 Omni agentic AI model is trained on billions of data points to enable automated prospect research, personalized messaging, and campaign optimization. The platform combines machine intelligence with top human performance to enable organizations to launch highly relevant, omnichannel campaigns with minimal manual input. Landbase says the solution improves conversion rates while lowering total cost of ownership. CEO Daniel Saks said the funding will help accelerate the company’s mission to transform fragmented, costly, and inefficient go-to-market approaches. CIBC Innovation Banking’s growth capital financing will support Landbase’s growth plans and product development. Landbase operates an agentic AI platform, GTM-1 Omni, designed to automate, unify, and optimize go-to-market processes for sales and marketing. The product combines specialized large language and action models with a ‘‘Reinforcement Learning with Human and Performance Feedback’’ approach to improve decision-making and execution. Landbase positions its platform to reduce manual, repetitive tasks and break down tool and data silos across GTM functions. Early customers reported a 7x higher conversion rate versus traditional OpenAI models on outbound lead generation, a 70% reduction in time spent per generated lead, and much faster campaign development (weeks to hours). The company plans to release free tools such as the Landbase GTM Trust Score and a series of products to automate omnichannel inbound and outbound strategies. Landbase emerged from stealth and has a founding team including Daniel Saks (co-founder & CEO), Emily Zhang, and founding ML PhDs with experience at Everstring, Stanford, and NASA; the company is based in San Francisco.

Total raised

$43M

Funding rounds

3

Latest round

Series A

Latest activity

Jun 2025