
Landbase Raises $30 Million Series A to Help Businesses Find Their Next Customer
SAN FRANCISCO--(BUSINESS WIRE)-- Landbase, the agentic AI company transforming how businesses grow, today announced it has raised $30 million in Series A funding. The round was co-led by Sound Ventures — the AI-focused fund co-founded by Ashton Kutcher and Guy Oseary — and returning investor Picus Capital. The raise also included strong participation from other existing backers, including 8VC, A*, Firstminute Capital and TheGP, underscoring continued conviction in Landbase's growth and mission.
'We've seen real momentum because the challenge is universal — every business needs to grow, but most don't have an easy way to start,' said Daniel Saks, co-founder and CEO of Landbase.
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The new funding will support Landbase's continued investment in GTM-1 Omni, its proprietary domain-specific AI model, and accelerate its mission to make go-to-market (GTM) faster, cheaper and better for every B2B business. Landbase helps B2B companies find their next customer by generating highly personalized sales campaigns using predictive intelligence. With just a prompt, businesses can target the right audience, create tailored messages optimized to close and launch campaigns across channels.
'We've seen real momentum because the challenge is universal — every business needs to grow, but most don't have an easy way to start,' said Daniel Saks, co-founder and CEO of Landbase. 'Landbase gives teams a simple, fast way to find their next customer. With this funding, we're excited to bring that capability to even more businesses looking to scale smarter.'
Landbase was founded by seasoned entrepreneurs including Saks, co-founder and former co-CEO of unicorn AppDirect; Emily Zhang, founding Chief Product Officer at unicorn OysterHR; and Hua Gao, founding Chief Data Scientist of Sequoia & Lightspeed-backed Everstring, which was acquired by ZoomInfo. The company is powered by a high-density team of builders, including Stanford grads, PhDs, GTM leaders and over one-third of employees who have previously founded companies.
Landbase has experienced 825% revenue growth since the beginning of the year, scaling to 150 paid customers since launch. By optimizing targeting and messaging through reinforcement learning, GTM-1 Omni delivers a 4–7x conversion uplift compared to manual, human-built campaigns. Since debuting its new Campaign Feed in April, Landbase has reduced average campaign launch times from 14 days to just minutes. Before Landbase, teams often spent months coordinating across tools; now, powered by GTM-1 Omni and agentic AI, they can launch hyper-targeted, omnichannel campaigns nearly instantly.
With a track record of spotting and backing generational hits — from producing entertainment icons to investing early in Airbnb, Uber, OpenAI and Anthropic — Sound Ventures sees Landbase as the next category-defining platform in the emerging AI GTM space.
'Landbase makes one of the hardest parts of building a business feel simple,' said Guy Oseary, Co-Founder of Sound Ventures. 'They're not just solving outbound — they're building the foundational platform for how modern companies grow.'
Just as 2025 has seen the rise of vibe coding tools to democratize engineering for non-coders, Landbase is pioneering a similar vibe AI experience for GTM — calling it VibeGTM. To make this experience accessible to every business, Landbase is now available to preview for free, allowing any company to find their ideal customers and tailor the perfect message.
Try it now at www.landbase.com.
About Landbase
Landbase is an agentic AI company that intelligently automates go-to-market workflows for businesses. Landbase has trained the GTM-1 Omni model on billions of data points, enabling organizations to launch highly relevant, omnichannel campaigns with minimal manual input. 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.

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