Your farm

Soil, innovation, toil

Your farm performance?

AgrasAI knows

AgrasAI delivers powerful, easy-to-read visual scorecards right to your Android or iPhone, highlighting your farm’s strengths, weaknesses, and untapped potential.

AgrasAI works seamlessly with your existing Farm Management Information System (FMIS), supercharging its value with next-level analytics.

How so?

AgrasAI created multi farm analytics.

Within AgrasAI your farm is one of many opt-in anonymous farms. This increases analytic scope exponentially.

See your farm revealed in simple intuitive visuals, explore unique actionable insights that drive real results, boost your bottom line.

No FMIS? No problem. Our intuitive direct data entry lets you get started instantly, no extra tools required.

Problem We Solve

Do you really know

how well your farm performs?

Consider these Farm Gross Margin results...

...and the same farm over a 4 year period:

Q: How well is this farm performing?

This AgrasAI scorecard on Android & iPhone knows.

Q: How well is this farm performing?

A: Not well.

Now you know.

Scorecard #1 - Farm Gross Margin

This is the 1st of many AgrasAI scorecards.

Farm Gross Margin is based on:

• crop sales
• crop direct costs. 

This Farm Gross Margin scorecard has 4 years of crop sales and crop direct costs from many farms. 

The top red bar is Farm Gross Margin.

The Deer farm scored 22.14% and ranked 9th of 10 farms (second from last) over 4 years. 

The solid yellow bars is Farm Gross Margin for other anonymous farms in the AgrasAI data pool. 

Other farms and data remain forever anonymous. Each farmer sees only their farm. 

The three small charts are:

• Crop Sales
• Crop Direct Costs (of crops sold)
• Crop Income

as  $ / acre. 

Below each red bar in the small charts are outlined yellow bars for: 

• High
• Average
• Low

from all farms in the data pool for Crop Sales, Crops Direct Costs, and Crop Income.

AgrasAI reveals what a FMIS cannot. Why? Our analytics uses data from many farms. 

These smaller charts show your farm in context to ALL farms. 

Farms constantly innovate.

AgrasAI measures the impact of innovation and operations across all opt-in farms. 

Painful facts cannot be ignored.

Scorecard #2 - Crops Gross Margin

The 2nd scorecard is Crops Gross Margin.

It's crops from the farms in the 1st scorecard.

Use the Span menu (scorecard lower right) to set years of data, here it's 4 years: 2020-2023.

Fact: enjoy ever increasing value of AgrasAI analytics and scorecards as farms and years of data are added.

The red line is average crop gross margin. 

Scorecard #3 - Farm Crop Sales

This scorecard shows all crop sales for Deer farm over the 4 year span 2020-2023.

The top entry is LNT R, Lentils Red:

• 16.02% of all sales, red bar
• crop margin 47.40%, yellow bar
• crop margin ALL farms 43.94%, outlined yellow bar

Crops are ordered by decreasing Crop Sales %.

It's now easy to identify crops with higher margins.

Fact: tailor this scorecard to your liking with:

• Units: %, $, $ / ac 
• Span: 1y, 2y, 3y, 4y, etc.
• Crop Category: Cereal, Oilseed, Pulse
• Rebalance: Less, More, OK

Here is Rebalance Less:

Rebalance Less identified 47.29% of Deer farm crop sales 2020-2023 in lower margin crops. 

14.00% percent of sales was CNL Canola with a crop margin of 15.06% whereas ALL farms crop margin was 30.22%. 

Going forward Deer should consider less exposure to these crops. 

Here is Rebalance More:

Rebalance More identified 17.44% of Deer farm crop sales 2020-2023 in under weight high margin crops. 

Going forward Deer should consider more exposure WHT DUR Wheat Durum and MUS Y Mustard Yellow.  

Both crops have excellent margins for Deer and ALL farms. 

There's More

These 3 scorecards introduce 5% of AgrasAI. 

A Farm Fields scorecard is work-in-progress.

Scorecard demo videos will be released soon.

Have an idea for a scorecard?

Contact our founder Paul Worbey here.

Analytics vs. Operations

Every enterprise gathers, transforms, aggregates, analyzes, and visualizes data from branch locations. 

AgrasAI does the same by replacing branch locations with opt-in farms.  

Farms in the AgrasAI data pool are forever anonymous. Each farmer sees only their farm. 

Truth is a FMIS cannot produce an AgrasAI scorecard. Our scorecards leverage data from many farms, not just one farm.

AgrasAI analytics and FMIS operations differ in data design and processing. 

Each is a specialty.

Each synergizes the other.

AgrasAI transforms opt-in farm operations data into a multi dimensional star schema, with master data, data governance, ML and AI.  

No FMIS?

AgrasAI provides direct data entry. No other tools required. 

About AgrasAI

AgrasAI reveals your farm in simple scorecards so informative they cannot be ignored.  

Ideal Customer: 

• cereal, oilseed, pulse family farm
• multi farm business
• large farms

Current Tech:

• MVP ready
• Data in Microsoft SQL Server
• Scorecards in PowerBI

Future Tech:

• Data in PostgreSQL on SupaBase
• Scorecards on iPhone
• Followed by Scorecards on Android

AgrasAI is open to early adopters now.

Contact

Contact founder Paul Worbey on LinkedIn. 

About

It started with a conversation.

A farmer and family relative in Saskatchewan was discussing innovation on the farm:

• Use an air drill and avoid tillage to reduce CO2 emissions.
• Plant new hybrid seed to increase yield.
• Join a crop pilot program to reduce nitrogen requirement and produce higher yield.  

100 farms participated in the pilot, each farm dedicated 40 acres. 

We asked:

• What's happening on the non-pilot acres?
• How is each crop performing?
• How is each farm performing?

AgrasAI answers these questions and more. 

Business Challenge

A farm is a business, and a farm business wants to know:

• How well is my farm performing?
• Is a farm a profit leader or laggard, and why?
• What are opportunities to optimize costs, improve crop yields, maximize sales, and quantify risk?

Not Business As Usual

One farm is a data silo.

AgrasAI fast forwards beyond the farm data silo to analyze data gathered from many farms.

The benefits of analytics and AI are now available to all farms, big and small.

Leverage actionable insights not available with traditional farm management apps. 

A Better AI

A better AI requires better data.

AgrasAI is curating the best farm data to build an AI model of each farm.

Unique Data

AgrasAI gathers data from many farms, aggregates, analyzes, applies ML and AI, and visualizes the results. 

We measure each farm's success, deliver clear insights on performance, and offer opportunities for improvement. 

Unique Analytics

AgrasAI is new AgTech.

We are the only SaaS solution delivering analytics and AI on data gathered from many farms.

Farm software that does not compete with AgrasAI includes:

• farm management app
• farm ERP
• farm accounting.

Farm management apps and farm ERPs generate data.

AgrasAI harvests data from these for unique insights and profit.

Ideal Customer

Our ideal customer is the family farm: too small for a farm ERP, and winners when fast forwarding to the actionable insights of analytics and AI. 

AgrasAI targets family farms through farm accountants, crop associations, and multi-farm businesses. 

Cost: $250 per farm per year.

Customer Market Channels

1. Farm Accountants

• A farm accountant serves a local cluster of farms.
• Local farm clusters are priority prospects: they likely share a common soil zone where analytics add maximum value. 
   

2. Crop Associations

• Crop associations are a direct channel to large numbers of farmers. 

3. Multi-Farm Business

• A multi-farm business will likely have farm management or farm ERP software.
• Farm management apps and farm ERP system are data sources for AgrasAI.
• For a multi-farm business AgrasAI provides unique analytics, visualizations and reporting. 

Market Size

AgrasAI Cost:

• $250 per farm per year

n TAM: number of all farms

n SAM: number of cereal and oilseed farms (C & O)

$ SOM = n SAM x ARR market share percent x AgrasAI cost per year = $ ARR 

Required Data

AgrasAI gathers what farm accountants call "direct costs" and the Saskatchewan Crop Planning Guide calls "variable expenses". 

Currently we don't gather "indirect costs" aka "other expenses".

We also gather seeding rates, fertilizer and pesticide amounts, liters of fuel, crop yields, crop sales and contracts, crop inventory, land lease and land mortgage expenses.  

Technical Status

AgrasAI has achieved MVP (minimum viable product) using Microsoft SQL Server and Power BI. 

The mobile app will be implemented in React Native. The mobile app is in design. 

After 75 weeks of R&D the data risk is off the table. 

We are ready for early adopters. 

Next Steps

Connect with farmers, farm accountants, crop associations, multi-farm businesses.

Build a quality management team and strategic relationships. Discussions are underway.

Align with investors.

Founder

AgrasAI was founded by Paul Worbey in 2023.

Paul has focused on data and analytics in a career spanning decades.

AgrasAI is data driven, disruptive tech.

Paul's parents are from Saskatchewan where relatives continue to farm. 

Careers

Interested in joining a niche analytics and AI startup?

Contact us on LinkedIn. 

Local candidates from Calgary, Alberta only please.  

OFFER

Crop Farmer

Connect for a FREE trial

Multi-Farm Business

Connect to see your farms on analytics 

Farm Accountant

Connect to better serve your farmers

Connect on LinkedIn

CONTACT

AgrasAI is on LinkedIn