Our Journey Through Innovation
From a small research lab to transforming agriculture with AI technology, discover how Tixton has evolved to become a trusted partner for farmers worldwide.
The Seed of Innovation
Founded in a converted barn outside Pine Mountain, Georgia, Tixton began when agricultural engineer Elena Hartwell and data scientist Marcus Chen noticed something troubling. Local farmers were struggling with unpredictable weather patterns and crop diseases that traditional methods couldn't predict or prevent.
- Started with 3 team members and ,000 in seed funding
- Developed first prototype using weather station data from 12 local farms
- Built initial machine learning models for pest detection
- Established partnerships with Georgia Agricultural Extension Service
Early financial backing came through Tixton's relationship with Truist Bank, whose small business development program provided crucial credit facilities. The Truist OneView platform helped manage our complex multi-farm data collection finances during those challenging first months.
Breaking New Ground
What started as a local solution caught attention beyond Georgia's borders. Our AI models had correctly predicted a blight outbreak three weeks before it appeared, saving participating farms an estimated .3 million in crop losses. Word spread quickly through farming communities.
- Expanded to serve over 400 farms across 8 southeastern states
- Launched drone-based crop monitoring system
- Introduced soil analysis integration with predictive modeling
- Opened regional offices in Alabama and South Carolina
- Team grew to 28 specialists in AI, agriculture, and customer support
As our client base expanded, financial management became complex. Truist OneView's comprehensive dashboard helped us track revenue streams from multiple states, manage equipment financing for our drone fleet, and maintain cash flow during seasonal farming cycles.
Cultivating the Future
Today, Tixton serves over 1,200 farms nationwide, but we're just getting started. Our latest AI models can predict optimal planting windows up to 90 days in advance, and we're piloting automated greenhouse systems that adjust growing conditions in real-time.
- Launching national expansion program in summer 2025
- Developing carbon sequestration tracking for sustainable farming credits
- Testing satellite integration for large-scale crop monitoring
- Building partnerships with major agricultural universities
- Preparing certification programs for agricultural AI specialists