DEV Community: Land base

Discover How VibeGTM B2B Sales Automation Boosts Conversion Rates by 7x

Land base — Thu, 02 Oct 2025 07:50:51 +0000

The End of the Traditional SDR Model

For years, SDRs (Sales Development Representatives) were the backbone of outbound sales—researching prospects, sending cold emails, and scheduling meetings. But by 2025, this model is cracking. Buyers are digital-first, inboxes are overcrowded, and personalization demands outpace what humans can deliver manually. Companies are realizing that scaling SDR headcount isn’t sustainable.

Enter VibeGTM, a platform that automates go-to-market execution using agentic AI. Instead of relying on SDRs juggling multiple tools, VibeGTM acts as a fully autonomous GTM system—prospecting, personalizing, and executing campaigns end to end.

How VibeGTM Reimagines Outbound

Unlike traditional workflows that require CRM systems, email sequencers, and manual research, VibeGTM consolidates everything into one AI-driven engine. Powered by its multi-agent model (GTM-1 Omni), it:

Launches campaigns in minutes, not weeks.
Autonomously adjusts messaging based on role, industry, and buyer signals.
Handles domain warmup and deliverability, preventing spam issues.
Optimizes performance continuously, just like a top-performing SDR team would.
The result? 4–7× higher conversion rates and up to 80% lower GTM costs compared to human SDR models.

The Numbers Don’t Lie

Teams using VibeGTM report impressive results:

One company added $400K in MRR during a slow season by shifting SDR tasks to VibeGTM.
Others cut SDR-related expenses drastically by consolidating fragmented tools into one platform.
Sales leaders see faster pipeline generation with more predictable ROI.
This isn’t just incremental improvement—it’s a step-change in outbound performance.

Who Benefits Most?

VibeGTM isn’t just for enterprise giants. It’s especially powerful for:

SMBs and lean teams that can’t afford large SDR headcount.
Companies dependent on agencies that want to bring GTM back in-house.
Teams aiming for speed in digital-first markets where response times and personalization decide wins and losses.
With 80% of B2B interactions happening online by 2025, those who fail to adopt autonomous GTM risk falling behind competitors already using AI-driven systems.

Conclusion: Embracing AI-Driven GTM with VibeGTM

Replacing SDRs isn’t about eliminating people—it’s about eliminating inefficiency. VibeGTM frees sales teams from repetitive grunt work so they can focus on strategic conversations and closing deals.

For B2B leaders, the message is clear: the future of outbound isn’t human SDRs—it’s autonomous, AI-powered GTM systems like VibeGTM.

Landbase Emerges from Stealth with $12.5M Seed Round to Intelligently Automate Your Go-to-Market

Land base — Thu, 07 Aug 2025 05:34:09 +0000

Landbase announces $12.5M in seed funding to revolutionize go-to-market strategies with GTM-1 Omni, the first AI model built for B2B growth. Our platform automates and optimizes sales and marketing, driving higher lead conversion and boosting revenue.
Major Takeaways

What problem is Landbase solving for sales and marketing teams?
Landbase eliminates the inefficiencies of fragmented GTM tech stacks by offering an all-in-one, AI-powered platform that automates and unifies lead generation, outreach, and campaign execution—reducing time spent and increasing conversion rates.

What makes Landbase’s GTM-1 Omni model different from other AI tools?
Unlike standard LLM integrations, GTM-1 Omni is an agentic AI model built specifically for go-to-market. It doesn’t just generate content—it takes action, learns from real campaign performance, and delivers 7x higher conversion rates than traditional models.

Who’s behind Landbase, and why does that matter?
The founding team includes leaders from AppDirect, Carta, Oyster HR, NASA, and ZoomInfo—bringing deep expertise in AI, data science, and GTM strategy. Backed by $12.5M in funding from A*, 8VC, and General Catalyst, Landbase is built to lead the next era of GTM automation.
Every business is unique, but they all face one simple truth: Sales is the backbone of every business, and without leads, there are no sales. Today, sales and marketing teams are bogged down by manual repetitive processes, disconnected tools, siloed teams & fragmented data. With a mess of go-to-market execution, it can be exceedingly difficult to generate leads that convert into revenue.

Today, we’re embarking on a mission to change that.

‍We’re thrilled to announce the launch of Landbase, the most efficient and effective way to execute your go-to-market strategy. With Landbase, you can automate, unify, and optimize your go-to-market processes all in one place, powered by AI and backed by human expertise.

Revenue is the lifeblood of any business, and Landbase is here to unlock the true revenue potential for B2B organizations. Here’s more about how our approach is different, our founding team and investors, and how we’re going to make this vision a reality.

A Different Type of AI Model for More Powerful Outcomes
Landbase's approach changes the game for go-to-market automation and AI. While other platforms are focused on using LLMs to plug AI into their existing solutions to generate content, we've assembled our own technology that puts AI at the forefront.

‍The key to what makes us different is GTM-1 Omni, the world's first and most powerful AI model designed specifically for go-to-market. Pioneered at Landbase, GTM-1 Omni is agentic, which means it is designed to not only understand and predict outcomes, but also execute tasks across the spectrum of go-to-market activities. For example, Landbase can predict how specific buyer personas will respond to content and improve messaging for higher relevance and better conversion rates, all while reducing spam.

We've also assembled our own private knowledge graph, purpose built for go-to-market, differentiating it from the open knowledge graphs that the frontier model companies such as OpenAI are training on. In addition, we have developed a chain of thought reasoning engine that focuses on processing both open and private knowledge to provide better performing actions.

Moreover, our approach incorporates human performance data with machine intelligence for a truly unique solution. We have access to private data sources, including firmographic data—such as company size and revenue—and performance data from actual GTM campaigns across various channels.

Early results are already showing we’re onto something. With Landbase, customers have seen:

A 7x higher conversion rate compared to traditional OpenAI models using our outbound lead generation tool.
A 70% reduction in average time spent per generated lead.
Significantly shorter time spent developing marketing campaigns, from weeks to just hours.

Our Founding Team
We have assembled an impressive team with years of experience across a range of relevant domains, including data science, AI, machine learning, go-to-market strategy, and startup leadership. Our founding team includes:

Daniel Saks, CEO: co-founder and former co-CEO of unicorn AppDirect, the leading subscription commerce company.
Emily Zhang, Chief Product Officer: founding team member of unicorn Oyster HR, an early product leader of unicorn Carta, and leader of AI and machine learning initiatives at eBay.
Raheem Syed, Chief Technology Officer: engineering leader at AppDirect and founding team member of Wolfram Cloud.
Hua Gao, Ph.D., Chief Data Scientist: Stanford Ph.D., leader of generative AI and machine learning at Zoominfo, and founding team member of Sequoia backed EverString.
Yi Jin, Ph.D., Chief Growth Officer: Chief Innovation Officer of EverString and research scientist at NASA with patents for lead generation.

We may come from diverse backgrounds, but we all share a vision to help businesses generate leads that convert at scale with the world’s first agentic go-to-market platform.

Our Investors
As we exit stealth mode, we’re also excited to announce a $12.5M in seed stage funding, co-led by A*, 8VC, and First Minute Capital, with participation from Inovia Capital, Picus, and General Catalyst (La Famiglia). We’re proud to have a group of investors who understand the power of AI and the potential that Landbase has to revolutionize the way people do business.

As Kevin Hartz, General Partner at A*, explains: “Today’s market is flooded with SaaS tools, leading to fragmented and inefficient sales and marketing processes. Landbase’s innovative use of machine learning and human intelligence breaks down these silos, setting a new standard for unified go-to-market teams. We’re excited to support Landbase and its exceptional team in revolutionizing the SaaS landscape for an AI-driven world.”

What Comes Next
We’re just getting started, but we’re deeply committed to becoming leaders in the agentic AI space. We believe that allowing business leaders to automate their end-to-end GTM process will enable them to focus more on strategy and growth and less on mundane tasks, ultimately driving better performance and higher revenue.

To demonstrate the power of GTM-1 Omni, Landbase will be releasing a series of free tools for go-to-market leaders and agencies to discover data driven insights about their business. The first tool is the Landbase GTM Trust Score which analyzes proprietary performance data to showcase the trustworthiness of your brand online and suggests ways to improve your performance.

Landbase will also be launching a series of products to automate your omni channel go-to-market including inbound and outbound strategies. We envision building a developer ecosystem and agency network to offer third party partners the opportunity to benefit from the power of GTM-1 Omni.

We are building a go-to-market experience that prioritizes efficiency and results, not manual effort. An experience focused on helping you automate your sales and marketing processes, without the clutter of disconnected tools or the loss of human expertise. An experience where your technology tools work for you, and not the other way around.

We hope you will share in our journey and how we’re making our vision a reality. Click here to sign up for the latest news and updates.

Landbase Raises $30 Million in Series A to Assist Companies in Locating Their Next Client

Land base — Thu, 26 Jun 2025 07:14:47 +0000

We created Landbase to use AI to automate business-to-business go-to-market. We have the funds to grow our platform thanks to our Series A ($30M) funding round, which is co-led by Sound Ventures and Picus Capital. In this article, we describe the multi-agent architecture and reinforcement learning methodology of our proprietary agentic AI model, GTM-1 Omni, as well as the outcomes it is producing (4–7x higher conversions, campaigns created in minutes). We'll also talk about the platform's future implications of this funding.

GTM Using AI: From Stealth to Series A

B2B enterprises' go-to-market is ready for change. Sales and marketing teams now manage a dozen systems for CRM, outreach, and prospecting, and they frequently spend as much time figuring out software as they do interacting with leads. Given our founders' background in the GTM industry, we recognized a chance to combine and automate these processes using an AI-powered "system of action."

With the goal of creating the first agentic AI platform especially made for go-to-market execution, Landbase came out of stealth in late 2024. We developed an AI that can locate prospects and start outreach on its own, rather than merely creating another metrics dashboard. Our team, which consists of GTM veterans and machine learning PhDs (formerly from Everstring and NASA/Stanford), worked on this idea for years. In 2024, we raised $12.5 million in a seed round to develop the fundamental technology. As we grew (acquiring 150 customers and increasing revenue by 825% in a few quarters), investors began to pay attention once more.

This June, we raised a $30M Series A co-led by Ashton Kutcher’s Sound Ventures and Picus Capital. For us, this funding is fuel to accelerate R&D and scale our platform to meet growing demand. But what exactly is under the hood of Landbase’s AI platform? Let’s dive into GTM-1 Omni.

GTM-1 Omni: Reinforcement Learning and Multi-Agent AI Inside

Landbase's platform is powered by our proprietary AI engine, GTM-1 Omni. With a suite of action models that can carry out operations in the GTM workflow, GTM-1 Omni is essentially a domain-specific large language model (LLM) tailored for sales and marketing material. To put it another way, it's a coordinated system of AI agents planning and carrying out campaigns rather than a single model. A prospect list may be created by one agent based on an analysis of ideal customer profiles; another may provide customized email content; still another may manage scheduling and message delivery; and so on. In a manner not possible with conventional technologies, Landbase's multi-agent architecture enables it to automate the entire outbound campaigning process.

A vast dataset of B2B go-to-market contacts, including more than 40 million past campaigns and 175 million sales talks, was used to train GTM-1 Omni. This provided our models with a deep understanding of how various targeting, messaging, and sequences function in practical situations. However, we went beyond pre-training. Using reinforcement learning to continuously improve outcomes has been a significant innovation. In particular, we use a technique we refer to as reinforcement learning with human and performance feedback, which combines expert remarks with real-time campaign results as learning cues. The system may, for instance, A/B test two email strategies; if one results in a greater reply rate, the model will give that technique more weight going forward. Over time, GTM-1 Omni becomes smarter with each campaign, optimizing for the metrics that matter (opens, conversions, pipeline generated).

Outsized gains have resulted from this strategy:

4–7 times greater conversion rates than manual outbound efforts (we've seen a ~7x improvement even when compared to baseline GPT-powered scripts).
Sales teams have reduced the amount of time they spend on each lead by 70% as a result of automating outreach and prospect research chores.
Launch dates for campaigns were shortened from weeks to minutes. (Before Landbase, planning a multi-touch campaign may need 14–30 days of preparation; with our platform, a representative can start a customized campaign the same day.)

In short, GTM-1 Omni functions as a 24/7 high-output AI sales development staff. And it continues to improve. To further bridge the gap between human intuition and machine efficiency, we launched a Campaign Feed interface in April 2025 that allows consumers to observe and comment on the AI agents' actions in real-time.

Upcoming Actions: Expanding and Opening Up

We are concentrating on developing and expanding this technology with the new funds. On the machine learning front, we're developing our reinforcement learning algorithms with more detailed performance data and investing in bigger, more specialized models for GTM-1 Omni. Additionally, we are developing more autonomous agent capabilities. Imagine future GTM-1 Omni agents that can automatically respond to incoming prospect answers or modify your campaign approach as needed.

Making Landbase available to more companies and developers is another top focus. We just released a free preview application so that anyone may test out Landbase's AI. You can register on our website, provide a brief description of your target client, and allow GTM-1 Omni to create a campaign plan for you if you're interested in learning more about how an AI-driven campaign operates. It's a practical approach to demonstrating the capabilities of an agentic GTM platform.

Similar to CI/CD pipelines for software teams, we see Landbase as a key tool for go-to-market teams in the long run. Intelligent agents may take over the tedious, repetitive tasks of outreach and prospecting, freeing up human teams to concentrate on strategy, innovation, and relationship-building. We want to change GTM from a world where people serve software to one where software works for people, as one of our investors stated.

I appreciate you reading! As we develop, we'll keep exchanging technical insights. Please leave a remark below if you have any questions concerning the operation of GTM-1 Omni or suggestions for future features. If you're interested in this field, we're hiring full-stack developers and AI engineers to help shape the go-to-market of the future. Come work with us!