Don't settle for vague "DX."

Mathematical optimization specialists thoroughly analyze your operations and build a purpose-built engine that automatically proposes solutions optimized for your business on the ground. We solve even the problems off-the-shelf tools can't, building custom implementations from scratch.

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Clarify the Real Problem

We work with you to identify what actually needs optimizing and set a clear direction for improvement.

End-to-End Delivery

From requirements and feasibility estimates to implementation and ongoing support, we move efficiently through only the steps you need.

Start with a Free Consultation

Even before formal requirements are defined, we're happy to discuss whether your challenge exists and how feasible a solution would be.

✓Optimization is the technique of maximizing or minimizing a numerical objective while satisfying a set of predefined constraints.

✓Shift optimization, for example, can balance on-site workload while satisfying both qualification requirements and staff leave preferences.

✓In one project, work that used to take half a day by hand was reduced to an automated process taking only minutes.

✓Shift creation, route optimization, production planning, resource allocation — routine operational tasks like these can often be improved through mathematical design.

✓We turn the challenges you're facing into problems that can be solved within a realistic timeframe, and operate the solution as an ongoing service.

Services

Consultation on the challenges you're facing

Development of an optimization engine that solves the problem

Web app development with the minimum functionality needed — data input, result visualization, and the like

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Our Strengths

We don't simply formulate a problem and hand it off to an existing library. We make full use of parallelization, problem decomposition, variable reduction, and a range of heuristics, and when needed, build specialized functionality from scratch. This lets us bring even problems other firms would give up on into a form that can realistically be solved.

Process

1. Tell us about your challenge

Let us know what's causing trouble on the ground, what you'd like to improve, and any constraints involved.

2. We assess feasibility

We give you a quick first read on feasibility and the effort likely required.

3. We propose a concrete plan

As needed, we use estimates and prototypes to shape a proposal you can put into practice.

Kan Enomoto

About the Founder

Kan Enomoto (榎本 観)

Graduate of the Faculty of Science, Kyoto University. Deeply versed in optimization theory, with a track record of successfully delivering optimization projects — including shift optimization and pallet-loading optimization — for clients including major corporations. Author of quboassist, a Python package for automatic QUBO generation. Member of the Operations Research Society of Japan.

Contact

Whether you have operations you'd like to improve, want to reduce manual work on the ground, or just want to know if optimization could help, feel free to reach out.
We're happy to help clarify your challenge for free, even before a formal project begins.