Ideas & Opiniones / Global Agro

CamoAg reaches profitability building LinkedIn for farmers

The agtech startup built by Corbett Kull turns fragmented farm data into actionable insights and scales profitably

CamoAg reaches profitability building LinkedIn for farmers
jueves 30 de abril de 2026

CamoAg, founded by Corbett Kull, has reached profitability in the United States by developing a farm-level intelligence platform that helps sales and marketing teams target farmers more effectively, addressing a long-standing data gap in agriculture.

According to AgFunderNews, CamoAg has achieved profitability after pivoting from its earlier farmland rental marketplace model into a data-driven ag sales intelligence platform. The company now focuses on helping agribusinesses make better decisions using centralized, structured farm data.

Kull explained the core problem: “Everybody selling and marketing to farmers suffers from the same problem,” pointing to the lack of a unified source of reliable agricultural intelligence. “There’s no LinkedIn or ZoomInfo for farmers,” he said, describing the gap CamoAg aims to fill.

CamoAg reaches profitability building LinkedIn for farmers

The company’s evolution reflects a strategic shift. After shutting down its farmland rental business, previously known as Tillable, Kull decided to concentrate entirely on building what he calls an “intelligence layer” for agriculture. “I’m a big believer in focusing on one thing and doing one thing extremely well,” he said.

Today, CamoAg operates as a profitable and sustainable business, moving away from venture capital dependency. “We last raised money in 2022, and we do not think we will need to raise money again,” Kull noted, emphasizing the company’s long-term durability.

The platform aggregates publicly available data sources, including land ownership records, transactions, financing data, trucking information, and datasets from USDA. This information is transformed into actionable insights for sales teams, allowing them to better understand farmers before making contact.

Through its interface, users can access detailed profiles of farms, including estimated acreage, crop types, equipment scale, and indicators of growth. The system also integrates artificial intelligence tools that generate research reports and enable natural-language queries, making it easier to extract relevant insights quickly.

Kull highlighted a practical benefit: sales teams can identify not only which farmers to contact, but also how to approach them. The platform even surfaces contextual details that can help build relationships, such as awards or personal activities, improving engagement quality.

CamoAg reaches profitability building LinkedIn for farmers

CamoAg’s business model is primarily enterprise-focused, targeting large agricultural retailers, input manufacturers, and lenders. Pricing is structured around platform access and per-user fees, with deeper integrations into CRM and ERP systems for advanced clients. A significant portion of the Farm Credit System already uses the platform.

The value proposition centers on efficiency and prioritization. By segmenting farmers based on size, activity, and growth signals, companies can allocate resources more effectively. “If you can have a better data set to call on your farmers, you can be more efficient with your time,” Kull said.

The broader industry context has also supported CamoAg’s growth. As agricultural businesses face pressure to do more with fewer resources, demand for data-driven tools has increased. Sales teams are covering larger territories and require better intelligence to maintain performance.

Looking ahead, the company sees demand for international expansion, particularly in regions like South America and Europe. However, Kull acknowledged a major limitation: data availability outside the United States is significantly lower. “USDA is unrivaled in the world in the amount of data it is collecting,” he said, confirming that CamoAg remains focused on the US market for now.

CamoAg reaches profitability building LinkedIn for farmers

The company is also exploring future possibilities where farmers themselves could contribute data, potentially enabling farmer-to-farmer commerce and expanding the platform’s ecosystem.

CamoAg’s trajectory illustrates a broader trend in agtech: the shift from fragmented data to integrated intelligence systems. By turning raw information into practical tools for decision-making, the company has positioned itself as a key player in the digital transformation of agriculture.



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