Private data and executable environments for advanced AI

Useful data.
Proven by execution.

We create rights-clean AI evaluation environments and help established companies assess whether their operating history can be licensed for AI development.

Two sides of one market: reliable supply for AI teams, and a careful route to market for businesses that control hard-to-recreate data.

Rights firstClear provenance, permissions and scope.
Evidence includedExecutable grading and authenticated results where applicable.
Private by defaultNo underlying records are requested through this website.
01 / What we do

We build data products and source qualified private supply.

Douglas Data Labs works with both sides of the market. AI teams need dependable training and evaluation material. Businesses need a controlled way to understand whether their records may have value.

For AI teams

Evaluation tasks, environments and training data

We develop compact, inspectable data products for model training and evaluation. Our current work focuses on executable engineering tasks with deterministic checks and reference trajectories.

  • Executable agent tasks and RL environments
  • Deterministic graders and hidden variants
  • Authenticated reference trajectories
  • Synthetic and rights-clean source material
  • Custom evaluation packs for defined capabilities
Request an overview
For businesses

Business data assessment and buyer matching

Years of work can leave useful traces in project systems, support tools, finance platforms, documents and internal workflows. We assess the opportunity before introducing it to selected licensing providers.

  • A short, confidential initial assessment
  • No data files required at this stage
  • Rights, contracts and privacy considered first
  • Introductions only with your permission
  • You decide whether to continue with any offer
Start the assessment
02 / Process

A clear route from first review to a real decision.

01

Describe

Tell us what exists at a high level. Do not upload confidential files, credentials or actual records.

02

Qualify

We review ownership, operating history, systems, approximate scale and the likely usefulness of the data.

03

Approve

If there may be a fit, we explain possible providers and ask for permission before making an introduction.

04

Evaluate

The provider performs due diligence and may make an offer. You remain free to accept, negotiate or decline.

You and the business

We need to hear from an owner, executive or authorised representative.

Company and data profile

Broad estimates are enough for the initial assessment.

Systems used (select all that apply) *
Record types available (select all that apply) *

Rights and next step

We will not introduce the opportunity to a provider without permission.

For AI labs and model teams

Tell us what capability you need to measure.

We can share a controlled overview of our current executable evaluation tasks or discuss a custom pack. We do not publish hidden graders, reference solutions or private source packages on this website.

Questions

Before you submit

Does this assessment mean my data has a buyer?

No. It is an initial qualification only. There is no guaranteed buyer, valuation, offer or payment.

Do you need access to our systems now?

No. Do not upload or send records through this website. Any later review requires separate scope, permission and written terms.

Will you send our details to several providers?

Not automatically. We first review the opportunity, explain any proposed provider, and obtain further approval before an introduction.

Does the business keep ownership?

An assessment does not transfer ownership. Any eventual licence, sale, access right or processing arrangement is governed by separate written terms with the chosen provider.

How does Douglas Data Labs get paid?

We may receive a referral or transaction fee if an introduced opportunity closes. We disclose that relationship before an introduction. This website does not promise a specific fee or transaction.