Who We Are

WHAT'S
PLANTED

We are a Canadian ag‑tech startup that fuses satellite imagery, climate projections, and machine‑learning into detailed land‑suitability and crop‑yield reports delivered in minutes. At 30 m × 30 m resolution, our platform lets clients explore a field’s historic performance, future climate risk, soil profile, and topography in one interactive report, achieving 89–95 % yield‑prediction accuracy for major crops.

We launched in April 2024 after recognising that farmland deals were closing faster than traditional surveys could keep up. By turning our PhD research on predictive modelling into a service, we replaced weeks‑long, boots‑on‑ground scouting with unbiased, data‑rich analysis that arrives in minutes. Our workflow levels the playing field for farmers, realtors, insurers, lenders, and policymakers alike.

Our Mission

Provide high‑resolution data-driven agriculture intelligence so every stakeholder, from farmer to financier, can act on objective data, not guesswork.

Accelerate the shift to climate‑smart agriculture by revealing the true potential and limits of every field, today and decades ahead.

Transparency and research rigour in ag‑AI to build a more resilient global food system.

Our Values

001

Objectivity

We base every recommendation on evidence and data without bias or external pressure, so clients receive clear, impartial insights.

002

Excellence

We pursue world‑class accuracy and user experience, refining every report and interaction until it sets a new industry benchmark.

003

Fairness

We give every stakeholder, from small family farms to global lenders, equal, affordable access to the fullest, highest‑quality land data we have.

004

Integrity

We safeguard client data, openly publish our accuracy metrics, submit our models for independent peer review, and own our mistakes to keep trust at the core of everything we do.

Meet The Team

Liam Graham

Co-Founder

Liam is a PhD candidate at the University of Guelph researching crop-water requirements for optimal yields. At What's Planted, he leads model integration and manages the technical infrastructure.

Aman Bhullar, PhD

Co-Founder

Aman developed What's Planted's core machine-learning models during his PhD. He now leads model R&D, advancing crop-type mapping and yield estimation for production.

In the news

Apr 26th 2023

Paper

Nature

Simultaneous multi-crop land suitability prediction from remote sensing data using semi-supervised learning

A peer-reviewed paper on our machine-learning approach to this problem

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Explore Our Resources

Dive deeper into agricultural analytics with our detailed sample reports. Understand firsthand how What's Planted can transform your land management decisions.

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