Smart Agri Labs

We’ve built an AI-powered Smart Corn Hybrids Selector that helps to unlock the potential of each field.
Average corn hybrids underperform by almost 20%, resulting in lost revenue for farmers.
By using our solution, the majority of US corn farmers can increase profits by almost $100 per acre. Our price is less than 5% of that value created. The estimated US market size is $1B dollars.
Our cross-disciplinary team includes domain experts from various companies, including Pioneer, Granular, Farm Service Cooperative, and PhD-level data analysts from Google Deep Mind and research institutions

We've launched the product in December 2021.
We have beta-testers with 20,000 acres under management.
We have a proven interest (LOI's $20K in total).
No revenue yet.

We focus on corn and soybean farmers in the US and Canada.
The US is a primary market.
A number of corn farms in the US: 150K.
Weighted average price per farm - $4350

A number of soybean farms in the US: 144K.
Weighted average price per farm - $4250

The main segment is for farms with a size of 1000 acres and more

Why is seed selection for the average farmer is crucial?
-Average corn seeds underperform by almost 20%, resulting in lost revenue;
-Seed dealers and crop advisors are often biased by sales commissions;
-Farmers have limited options and resources for trials, both across weather environments and soil types;
-University, seed & independent trials rely on a single location and regional averages and don’t take into account field specifics.

Our first offering, Smart Corn Hybrids Selector is a farmer-focused, secure, unbiased data‑sharing and analysis platform that supports farmers in their strategic decisions.
Our platform leverages state-of-the-art machine learning models and a trials database of more than 7,000 hybrids across diverse environments in 17 states to deliver optimal corn hybrid selections for each field.

There are several ways of how farmers make a decision about choosing the right seed for their fields (please find the detailed comparison on slide 6):
-collaborative platform FBN (30K users)
-their trusted advisors (CCA's)
-seed companies;
-university and independent trials;
-own knowledge

We have several unique elements in the following areas that is difficult to copy:
-a database that includes proprietary sources;
-know-how in the data processing
-a novelty in ML architecture

There is a detailed financial model available by request.
Revenue:
-direct sales to farmers and crop advisors;
-in 3 years - sales to seeds companies.
-revenue in 5 years - $80M
-number of clients -18K in 5 years

Costs:
-main ones - personnel and marketing;
-planned EBITDA margin - 66% in 5 yrs


Pricing:
-<150 acres - free
->150 acres - $5/acre - 5% of the value created (current promotion - $2 per acre)

Our go-to-market strategy consists of the following channels:
-direct sales via internal team;
-paid marketing (FB groups, conferences, and growers' associations);
-partnership with CCA's who usually have 50 clients on average;
-brand ambassador program - we pay commissions to farmers for their referrals.

Product improvement and marketing, in particular:

-User acquisition - marketing expenses for ‘21/’22 seasons (with expected CAC
=$1,000, LTV=$12,000)
-Client dashboard improvement
-Finalizing integration with John Deere Operations Center
-Soybeans seed selector development (launching before the end of the ‘22 season)

We offer 10% of the issued shares for $300K. It's not pricing round and we prefer SAFE instrument, but ready for any offers

Competitors could develop similar products. We spent a year acquiring data and building state-of-the-art ML models by 2 PhDs and 3 software engineers.

ESADE Eworks accelerator

Our solution has been recognized by being included in the Top 500 FoodTech and AgriTech companies of 2020.
Our team member won the Syngenta ML challenge (1 out of 80 teams globally)