Stratum

First-party research framework

Expert AI Data Demand Index

This page is the public home for a future index built from real inquiry and delivery data. No statistics are published today. Empty charts and invented percentages would be a different kind of fiction.

We are not a freelancer marketplace or traditional staffing company.

Current findings

None. Sample size is zero published records. When a series has enough real observations to report without identifying a client, it will appear here with a date and a limitation note.

Sample size
Not yet published
Time period
Not yet published
Data source
Planned: de-identified inquiry and delivery metadata from Stratum programs, never raw client data.
Last updated
Methodology only · 2026-08-26

Methodology

Future reports will count structured fields from qualified buyer inquiries and, where a program ran, from delivery records: domain, credential class, requested headcount, duration, work type, and whether adjudication was in scope. Counts will exclude spam, incomplete forms, and any record that cannot be de-identified.

The index will describe demand as observed by one company. It will not be a census of the market. Dataset schema will be added only when a public, structured dataset actually exists.

Limitations

  • Selection bias: only teams that contact Stratum.
  • Small-n risk: early series may be too thin to publish.
  • Confidentiality: some high-signal slices may never be publishable.
  • No causal claim that demand equals the “right” staffing model.

Planned series

  • Most requested domains
  • Most requested credentials
  • Average requested cohort size
  • Project duration
  • Evaluation types
  • Adjudication frequency
  • Geography
  • Specialty demand

Have a specification we should be able to staff?

Share the profession, specialty, experience, location, headcount, hours, duration, and project description. We assemble the expert capacity.

  • Need 25 licensed nurses for a clinical AI evaluation
  • Need 15 attorneys in a specific practice area
  • Need 20 PhD scientists for benchmark creation
  • Need 30 senior software engineers for code evaluation