AgTru is developing a new AI based approach to agricultural land valuation that is fast, accurate, repeatable, and presents a statistical confidence or measure of quality in the valuation number. Decisions concerning agricultural land value for finance, credit, insurance, estate valuation (AgTru’s principal markets) and a myriad of other decisions are the constrained by the existing valuation approaches that are slow and subject to human subjectivity. Generally, the best available valuations are regulatory required appraisals that cost 1000s of dollars and can take weeks or months to generate. Regulations require an appraisal for transactions above $500,000, but usually the loan decision is already made subject to the appraisal coming back at the loan value or higher.
The AI AVM is currently being developed and will be released in beta form sometime in 2026.
We are hiring software engineers. We are always interested in hearing from skilled developers that work in AI...please get in touch.
NEDED awarded Agtru a valuable $100,000 prototype grant to accelerate development of our AI AVM.
As CEO, Aaron, will make major corporate decisions, manage the overall operations and resources of a company, act as the main point of communication between the advisory board and corporate operations and be the public face of the company.
Aaron has over 15 years of business experience. He has started several companies and continues to
As CEO, Aaron, will make major corporate decisions, manage the overall operations and resources of a company, act as the main point of communication between the advisory board and corporate operations and be the public face of the company.
Aaron has over 15 years of business experience. He has started several companies and continues to run these highly successful companies, employing several full-time staff and sub-contractors. His skill set resides primarily in business operations, designing and reviewing business processes, personal management and most importantly, marketing and sales.
As CTO, Marcus, will lead the technology/software engineering department. He will develop policies and procedures and use technology to enhance products and services that focus on external customers. He will develop strategies to increase revenue and performs a cost-benefit analysis and return-on-investment analysis.
His primary capabil
As CTO, Marcus, will lead the technology/software engineering department. He will develop policies and procedures and use technology to enhance products and services that focus on external customers. He will develop strategies to increase revenue and performs a cost-benefit analysis and return-on-investment analysis.
His primary capabilities are in in software engineering and development for geospatial statistical analysis and modeling. He has a BSc in Geography from the University College London, University of London and a MSc in Geography from the University of Illinois with specialization in Geographic Information Systems and geospatial statistical analyses.
AgTru is technology company focused on applying the latest in machine learning (ML) and artificial intelligence (AI) techniques to agricultural land valuation. AgTru’s “AgValu AI AVM” is a new faster and more accurate approach to agricultural land price prediction using the latest in machine learning and artificial intelligence technologies. By using land data, soils data and historic sales data, AgTru can better predict the value of agricultural land based on its geography, “capability” and current and historic sales data. The predicted value from AgTru’s “AgValu AI AVM” will use a completely new ML/AI based geospatial statistical approach to price prediction. Current Automated Valuation Modeling approaches utilizes simple but multiple regression techniques that make substantial estimations and assumptions for inputs. Most appraisers dismiss AVM generated valuations because they are usually inaccurate AND provide little to no statistical data explaining the derived value. Other users (landowners, real estate agents, estate planners, accountants, etc.,) take them with a large grain of salt or do not even entertain their use.
Most, if not all appraisers would dismiss the current crop of computer-generated price predictions (known as Automated Valuation Models or AVMs in the real estate business) as wildly inaccurate for everything but the most homogeneous property (for example, irrigated corn land in central Nebraska). In Nebraska alone 1000s of lending, insurance and investment decisions are made on inaccurate, limited, and untimely land valuation data. Ultimately, one must wait for weeks (months) for a human generated appraisal for any real estate backed transaction over $500,000 or simply guess for any other applications (credit worthiness, insurance, estate planning, etc.). Moreover, appraisers are human: 3 different appraisers will calculate 3 different values for the same property from the same source data.
There is a need for a new, fast, accurate, dependable approach to agricultural land valuation. Old, standard statistical approaches that do not account for geography or provide the user with an idea of the quality of the price prediction are of little value. Lenders, Insurers, bankers, and ag producers not only need to know accurate land values but KNOW how dependable those predictions are, rather than just being presented a per acre value, with no indication of the validity of that prediction. AgTru seeks to revolutionize the Agricultural land price prediction business by providing a new AI based Automated Value Model that will provide accurate, repeatable, defensible valuations with a confidence interval so the user knows how reliable the value is.
AgTru will function within the current regulatory frameworks that demands appraisals for transactions involving real property loans over $500,000 for commercial lenders. AgTru isn’t interested in trying to change the 10 framework, but we believe our valuation technology can vastly increase the speed of doing business for those in the agricultural real estate market. Example 1: A large lender in the Farm Credit system current loan workflow involves at least a week (or more turnaround) for credit approvals for agricultural land loans. If a producer wants to attend an auction to buy additional land, they must plan well in advance with their lender of choice (sometimes weeks) so the lender may perform the appropriate credit checks, value the target property, value the borrowers existing property, etc.). A large portion of this time is devoted to the land valuation portion, utilizing one of the three appraisal approaches: cost, income, or capitalization. AgTru imagines a system where the borrower applies online the evening before the auction, the AgTru “AgValu AI AVM” generates the land valuations with confidence intervals/quality rating of the prediction and along with other necessary information (maps, credit data, etc.) the Financial Officer or Appraiser simply review the list of applications from the evening before and either agrees with the valuation data and approves the loan or sends it on for further analysis. Example 2: A CPA needs a reliable, fast, but nonregulatory agricultural valuation for estate planning/management and tax planning purposes. Currently, their only option is to order an expensive and slow appraisal or “call around” to contacts and acquaintances to get an idea of property value. They may even get on the internet and search for previous sales. This gets even more difficult if the target property is not in the same state or region. AgTru’s “AgValu IA AVM” will provide a immediate value that is accurate, reliable and assigns a confidence/quality to the land value.
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