About us

A partner,
not a black box.

Not a vendor. Not software that demands a learning curve. A data science partner built to work the way your team already does.

Why we started

Closer to the insight.

Research works best when researchers stay in control of strategic insight generation. AI has made much of that process faster, but advanced analytics still brings two barriers.

Access to advanced analytics

Specialist tools and data-science expertise have meant longer timelines, reliance on outside vendors, high licensing fees, and a growing communication chain.

Making better models usable

Many models still used in quant research are old. Better ones exist for the same problems, but interpreting their output has been too hard for many researchers to take on alone.

Crowdmines.ai closes both gaps: analysis agents pick the appropriate model, run it in hours, and return a client-ready answer you can fully audit.

Our mission

Better quant research.
On your terms.

We’re building the full potential of statistical, ML, and AI analytics to deliver better quant research — so every researcher can:

  • Access the most appropriate advanced model.
  • Extract the maximum insight their data can support.
  • Build a sharper, more defensible story for their clients.

Built around your research ecosystem

Our variable geometry architecture gives the agentic system a flexible foundation. It adapts to your research ecosystem, rather than forcing your team into one fixed way of working.

The people

The team behind Crowdmines.ai

Researchers, statisticians, and engineers who care about getting the method right.

  • Portrait of Khoa Doan

    Khoa Doan

    Co-founder, AI Strategy and Governance

  • Portrait of Shams Tabrez

    Shams Tabrez

    Co-founder & Operational Head

  • Portrait of Allen Turner

    Allen Turner

    VP of Research

  • Portrait of Nguyen Thi Ky Duyen

    Nguyen Thi Ky Duyen

    Growth and Market Intelligence Associate

Our principles

What we believe

A few principles shape every module we ship.

Human in the lead

AI expands judgment, it never replaces it. Every recommendation stays reviewable, editable, and yours to decide.

The right model, not the familiar one

Defensible analysis means picking the best statistical or ML fit for the question, not whatever the software happens to offer.

Data security you can build on

Your data, questionnaires, and outputs are strictly yours — never used to train public or foundational models, always isolated and encrypted end-to-end.

Insight that drives action

Analysis is not the finish line. Every output is built to translate into a strategic story a researcher can put in front of a client.

Your research culture, accelerated by a modular AI ecosystem.

Try it on your own data, or book a demo to see how the system works around you.