Made for the plant

Daisy turns supply, sales, and production data into clearer scheduling decisions and stronger margins.

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VALUES

For an industry that actually cares.

Daisy was founded to reduce uncertainty. We analyze supply, demand, and production data, helping you minimize waste and maximize efficiency.

Our customers are hardworking food processors operating on incredibly thin margins. We build cutting-edge tools an underserved industry desperately needs.

We build a high-trust environment where our team takes decisive action, listens closely to others, and collaborates heavily every day.

By blending real-world experience with advanced AI models, we seamlessly connect supply, demand, and production in real time for success.

OUR EXEC’ TEAM

Who builds Daisy

Andrew Moore

Fourth-generation Irish dairy farmer. Scaled his family's operation into one of the largest and most profitable in Ireland. Now building the decision layer he wished existed when he was running production.

Co-founder & CEO

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Chirag
Joshi

Award-winning ML engineer. Built an AI system that saved €26M annually before graduating. Developed ML solutions deployed globally. Once disproved a 50-year-old math theorem.

Co-founder & CTO

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Felipe
Bononi Bello

Machine Learning engineer with a background in aerospace and robotics from TU Delft. AI competition winner. Built AI systems for the Dutch Ministry of Health.

Founding Engineer

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We’re hiring!

Build tools

for the real world.

Daisy started on a fourth-generation
Irish dairy farm.

This shapes our team and how we think.
We understand the struggles that the industry faces and are building for an industry that actually needs us.

If you want to solve hard problems with
real-world stakes, this is the place.

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April 22, 2026

Kerry Dairy Ireland reduces margin of error by up to 60% using Daisy

As a leader in global dairy and nutritional technology, Kerry Dairy Ireland (KDI) manages a complex, high-volume supply chain to produce market-leading consumer brands and ingredients. With Daisy, KDI has accelerated its forecasting speed by 10x, reduced its annual forecasting margin of error by up to 60%, and has made significant savings across the commercial, operations, and logistics departments.

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March 15, 2026

Why we’re spending our heartbeats building Daisy

A note from co-founder Andrew Moore on a broken collarbone, a Warren Buffett book, and why the problems worth working on are the ones you have to stand in a milking parlor to understand.

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