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Cupidex

About Cupidex

We build software that makes connections precise.

Cupidex is a software company based in the United States. We help organizations match people, products, and opportunities with accuracy and clarity.

Our name

Meaningful connection meets structured intelligence

Cupid has long stood for bringing the right parties together. An index is how we bring order to information so it can be searched, compared, and trusted.

Cupidex combines the two: the very human goal of finding the right fit, delivered with the structure and rigor of well-organized data.

Our mission

To connect the right people, products, and opportunities through precise, data-driven matching.

Our values

What guides our work

Four commitments shape how we design our software and how we work with customers.

Precision

We sweat the details of every score. A good match is specific, measurable, and right for the people involved.

Trust

We earn trust by being careful with data, honest about limits, and consistent in how our software behaves.

Human-centered

Matching is about people and their goals. Our software supports human judgment rather than replacing it.

Clarity

Every result should be explainable in plain language, both to our customers and to the people they serve.

How we work

Principles we hold ourselves to

Values are only useful when they show up in everyday decisions. These are the ones we come back to most.

  1. 01

    Explain every result

    If we can’t say why a match was made, it isn’t ready. Every score we produce can be broken down into plain-language factors.

  2. 02

    Keep people in the loop

    Our software narrows the field and makes the case. People make the decisions that matter.

  3. 03

    Measure what matters

    We judge our work by the quality of the connections it creates, not by how many results it returns.

  4. 04

    Be careful with data

    We collect what matching needs, protect it, and give customers clear control over how it’s used.

Let’s work on it together.

Whether you’re exploring a new matching problem or improving an existing one, we’d like to hear from you.