Independent evaluation for investment teams
Test the tool before you commit to it.
DatrixLab evaluates AI tools and data products against a defined research workflow and client-approved data.
Discuss an evaluation
The gap between demo and decision
A vendor demonstration is not your working environment.
It rarely shows how a product will perform with your data, definitions, and research process. DatrixLab turns a polished claim into a testable decision.
A bounded evaluation
From question to clear recommendation.
- 01
Define
Agree on the tool, research workflow, data, and criteria that will determine success.
- 02
Test
Evaluate the product with approved data and realistic conditions, not a staged demonstration.
- 03
Recommend
Receive a documented adopt, reject, or proceed-with-conditions conclusion.
Founder-led, hands-on work
Built from experience on both sides of the decision.
Michelle Yang founded DatrixLab after more than a decade working across investment research, trading, third-party data evaluation, data quality, and investment data infrastructure. At Citi, Point72, and Woodline Partners, she saw how vendor claims, technical implementation, and analyst judgment meet in practice. She works directly on each evaluation, bringing an investment practitioner’s understanding of the workflow and a builder’s understanding of the underlying data.
Meet Michelle →Independent by design
The recommendation is the product.
DatrixLab is paid only by clients. We accept no vendor commissions, referral fees, or sales incentives. Buying nothing is always a valid conclusion.
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