The Daisy Story.

Daisy is AI done right.

We deliver AI-powered solutions for retailers and insurance companies that drive dramatically better business results.

Daisy uses reinforcement learning, a branch of AI, and its patent-pending Theory of Retail™ and Theory of Risk™ to be truly unique in the marketplace and on the cutting edge of the category management and risk management revolution.

Daisy’s technology, developed by a highly-skilled team of 60+ computational scientists, mathematicians and business domain experts analyzes 100% of an organization’s transactions, executing billions of simulations daily to deliver optimized merchandise planning and risk management decisions for our clients.

Linear regression, the forefather of deep learning and AI, was invented more than 200 years ago. So, why isn’t AI delivering better business results?

Our AI-powered solutions use reinforcement learning to deliver exceptional financial results: higher profits and sales and outstanding ROI.

AI is intelligent autonomous systems, not algorithms. Autonomy is stable, trustworthy and demonstratable business performances from your most important processes that deliver an invisible competitive edge.

Daisy delivers decisions that drive higher profits every year. We analyze 100% of your transactions to deliver business recommendations while automating processes beyond human capability.

Simply Put, Daisy is AI Done Right.

Better Financial Results

Our retail clients have historically seen top-line sales increase by average of 2.9% through pricing optimization, better promotional product selection, and more accurate inventory allocation.

Reduce Fraudulent Payments

Insurance companies can avoid tens of millions of dollars in claims payments and assess risk more accurately with technology that makes investigations more efficient and successful.

Reinforcement Learning

Based on years of R&D and work with top brands, our technology is unique; it continuously learns and adjusts its decision-making policies without human intervention. We call it “autonomous machine intelligence”: computers do the time-consuming heavy lifting.

We Handle The Hard Work

Daisy handles repetitive, relentless and complex work, allowing your employees to use their experience and expertise to do what they do best…make strategic and creative decisions to serve your customers. They do what machines can’t!

Meet the Team

In today’s data-driven world, it is beyond human capacity to measure and optimize decision-making. Yet, the road to the humanly impossible is still driven by people – people like the team at Daisy. While we love our math and science, we pride ourselves on being fun and easy people to work with. We love our clients. For our team, no business challenge is too big when there’s a mountain of data to scale.

GARY SAARENVIRTA, M.A.Sc

Founder & CEO

Gary is Daisy’s Founder and CEO, and a preeminent authority on artificial intelligence and its ability to transform how businesses grow. He is also a member of Daisy’s board.

PAT FINERTY

Chief Development Officer

As Daisy scales its international growth, Pat will lead the expansion of the company’s partner ecosystem and accelerate its presence in emerging industry verticals.

SINA MERAJI

Director, Machine Learning & Software Development in Parallel Computing

Sina leads the R&D team focusing on four areas: big data and analytics, artificial intelligence/machine learning, parallel processing, and UI/Web development.

JEFF BERRY

VP, Operations

A seasoned executive-level professional, Jeff oversees Daisy’s production operations team, customer onboarding, product management, and infrastructure.

NATASHA COTZ

Director, Talent & Culture

An HR strategist and recruitment expert, Natasha oversees all recruiting and new hire activities, human resources, performance management and employee training.

JOHAN LANDMARK

VP, Marketing

Johan is responsible for customer community, marketing, brand, PR/ industry analyst relations, and supports pre-sales and client onboarding.

SHELINA KARA

VP, Client Management

Shelina is responsible for client steady state delivery post onboarding, client satisfaction, ad hoc analytics, and supporting client renewals and client upsell.

Mark Bourgeault

VP, Research & Development

Mark is responsible for software development, operations management, and infrastructure evolution.

Chuck Williams

Director, Technology Infrastructure & CISO

Chuck is responsible for Daisy’s technology infrastructure supporting its industry leading AI & Machine Intelligence platform and also serves as CISO responsible for the company’s information and data security strategy.

Andrea Long

Director, Operations

Andrea oversees Operations at Daisy and is responsible for the production operations team, project management and web development.

Tom Wells

VP, Finance

Tom is responsible for managing Daisy’s financial operations, financial planning, budgeting, and accounting procedures implementation.

Board of Directors

JOHN MADIGAN

JSM Capital Inc.

John has 30 years of experience as a senior leader, innovator and investor in early stage tech companies. After a career with Northern Telecom/Nortel Networks, John co-founded several tech startups.

GARY SAARENVIRTA

Daisy Intelligence

Gary is Daisy’s Founder & CEO, leading the company as it builds an AI-powered platform that helps retailers and insurance companies around the world drive dramatically improved financial results.

PETER MISEK

Framework Venture Partners

Peter Misek is Co-Founder & Partner with Framework Venture Partners, a venture capital firm that combines a unique approach to data-driven investment with a collaborative engagement model.

EDUARDO PIEDADE

Sonae IM

Eduardo Piedade is Sonae IM’s CEO, a European-based global active investor, part of Sonae Group, which specializes in retail, telco technologies, and cybersecurity.

What’s in a name?
A lot of thinking.

In 2003, Gary Saarenvirta, launched makeplain Corp., best described as “a data analytics company.” Fast-forward to 2016, when makeplain rebranded as Daisy Intelligence. This was an acknowledgment that even after more than a decade of success, we had evolved alongside a rapidly changing data analytics landscape and we are now reaching new audiences.

Our inspiration for Daisy Intelligence came from several sources:

We love using complex math to solve real-world problems, so, naturally, we’re big fans of Fibonacci, who introduced what is widely considered to be math’s perfected sequence: the Fibonacci Sequence. This sequence can be found throughout nature such as in the number of petals and the number of spirals in the florets of a daisy flower.
In 1961, the IBM 7094 was programmed to sing “Daisy Bell”, the first song sung by a computer. “Daisy” was sung by HAL in the film 2001: A Space Odyssey. We especially like the first line of the song: “Daisy, Daisy give me your answer true” because it reflects what Daisy Intelligence strives to deliver to its clients: the facts.
The name Daisy contains “AI” which represents our company’s artificial intelligence foundation.

It’s safe to say, there’s a lot of thinking behind our name.