Landbase

How Daniel Saks Built Landbase to Revolutionize Lead Generation with AI

February 9th, 2025

Founded By

Daniel Saks

Founders

Profitable

Yes

Year Started

2023

Customer

B2B

Founded By
Daniel Saks: Founders
2

Profitable
Yes: Year Started
2023

Customer
B2B

Who is Daniel Saks?

Daniel Saks is a Canadian entrepreneur who co-founded AppDirect and is now the CEO of Landbase. He grew up in Niagara Falls, Canada, where he was inspired by his family's century-old furniture business, and developed a passion for technology and entrepreneurship, which led him to found and scale AppDirect into a leading SaaS platform before venturing into AI with Landbase.

Daniel Saks, Founder Landbase

What problem does Landbase solve?

Landbase helps businesses tackle the frustrating and resource-intensive challenge of generating high-quality leads by using AI to automate and optimize lead generation efforts, reducing the need for manual work and enhancing efficiency. Businesses struggle with wasted time and money on ineffective campaigns, and Landbase provides a solution by ensuring their marketing efforts convert to revenue, making it a valuable tool for any company looking to grow.

Landbase Homepage

How did Daniel come up with the idea for Landbase?

While visiting San Francisco, Daniel Saks attended a conference and witnessed early developments in cloud computing and software as a service. This sparked a thought: why didn't his family's furniture business, which struggled due to a lack of modern tools, have access to such technology? Feeling the gap between available technology and traditional businesses, Daniel identified a clear opportunity: helping businesses leverage cutting-edge tools to streamline operations.

He observed that many businesses faced a similar challenge of navigating the complex process of managing lead generation with outdated methods. He realized that his experience in technology distribution with AppDirect, combined with the innovative possibilities of AI, could help solve this problem. By engaging in industry discussions and leveraging insights from his days of co-founding AppDirect, Daniel fine-tuned the business idea that ultimately became Landbase.

Daniel's journey involved talking to business owners and partners, discovering their common issue of generating quality leads. With feedback from these interactions and his expertise, he refined his vision for Landbase to focus on using AI to automate and enhance lead generation. His aim was to empower companies to connect more effectively with their target audiences, turning what initially began as a technical curiosity into a coherent business strategy for Landbase.

How did Daniel Saks build the initial version of Landbase?

Daniel Saks and the team at Landbase employed a focused approach to develop their innovative AI-driven solution for automating go-to-market workflows. They began by leveraging their deep expertise in sales, product, and machine learning to design an AI model called GTM-1 Omni. This model capitalizes on the latest advancements in agentic AI to automate lead generation and optimize business outcomes. During the development phase, they used reinforcement learning with human intervention, which allowed them to pre-train the model using billions of data parameters from over 40 million campaigns.

Building the initial version of GTM-1 involved aggregating data sources such as firmographic information and campaign performance data to ensure the AI could predict and improve lead conversion outcomes effectively. The development process emphasized integrating both inbound and outbound channels while focusing on multi-modal capabilities, enabling communication through text, voice, and video. Within months of working in stealth mode to perfect these models, the team announced their launch and secured a $12.5 million seed round to fuel further innovation and scaling. This journey, though marked by rapid advancements in AI, presented challenges like maintaining data accuracy and refining the workflow orchestration engine.

What's the pricing strategy for Landbase?

Landbase uses a tiered pricing strategy starting at $3,000 per month, offering free go-to-market intelligence tools to identify businesses likely to succeed with their AI-driven lead generation solutions.

What were the biggest lessons learned from building Landbase?

Leverage AI Intelligently: Landbase excels by applying agentic AI to optimize lead generation, enabling businesses to increase their efficiency and revenue dramatically. This approach emphasizes using AI not merely for communication but for taking decisive actions, reinforcing the importance of aligning technology with tangible business outcomes.
Overcome Challenges with Persistence: The journey of Landbase, spearheaded by Daniel Saks, underscores the power of persistence. Despite the challenges faced, persistently pushing through rejections and obstacles by focusing on innovative solutions can lead to success.
Adapt and Evolve: Just as Landbase pivoted and shaped its offerings by understanding market needs, aspiring founders should remain adaptable. Embracing shifts in technology and market demands can unlock new opportunities and ensure long-term relevance.
Focus on Team Dynamics: Building a strong, diverse team at Landbase with expertise in AI and go-to-market strategies highlights the value of assembling complementary skills. Effective team collaboration is crucial for developing breakthrough innovations and driving business growth.
Be Future-Oriented: Landbase’s commitment to advancing agentic AI models reflects a forward-thinking approach. Aspiring founders should constantly seek to anticipate technological trends and prepare their businesses to tap into future growth areas.

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