Skip to main content

WANT TO COMBAT SCARCE DATA?

We built quantum machine learning tools that helped Komatsu, KPMG, and Moeve to get better predictions from small datasets on IBM hardware.

FREE RESOURCES

Notebooks, papers, videos & platform access to help you get started:

New Example

Example Notebook

Rimay-Hero-DQFE
It's Free

Read the Science

Rimay-Read_the_Science-large
It's Free

Watch It Work

Rimay-Quality_over_Quantity-2
Free 2 Try

Kipu Hub Access

Kipu_Hub

FAQs

A platform where you develop and access quantum tools for ML and optimization. Rimay runs here alongside our other solvers and tutorials.

Rimay runs on the Kipu Quantum Hub Marketplace. Register for Hub access here → or fill out this form and our team will guide you through setup.

Small dataset? Rare events? Low signal-to-noise? If classical models plateau or overfit, Rimay might help. Fill out this form for a quick assessment and get in touch with our experts.

Our Customer Success Team gives hands-on support. We’ll match you with subject matter experts for your use-case to make sure you get your questions answered.

About the Team

Rimay-Kike-2

Kipu Quantum builds algorithms that run on today's quantum hardware, not hardware that might exist in five years. The company partners with IBM, Komatsu, KPMG, and BASF to solve real optimization and machine learning problems at production scale.

 

Scott Crowder, VP of IBM Quantum Adoption, reinforces: "where classical AI and quantum computing continuously amplify one another, Rimay Quantum Feature Extraction employs IBM's 156-qubit processors to […] reveal hidden correlations that are mathematically invisible to classical computers."

 

"We started Kipu to deliver measurable value to industry with quantum computers. Not in five years, but now," says Prof. Kike Solano, CEO and co-founder.


Rimay is the latest product from this partnership: quantum feature extraction that helps practitioners get better predictions from scarce, noisy datasets.