COOL / Lab

data.cool

The real-world data lab.

We turn permissioned records of how businesses work into proprietary datasets, benchmarks, evals, and environments for advanced AI.

  1. 01Work
  2. 02Decisions
  3. 03Corrections
  4. 04Outcomes
  5. 05Intelligence

The loop every dataset is built from.

01 / Thesis

The internet taught models what people said. Real-world data can teach them how work gets done.

Models have read most of the public web. What they have rarely seen is the work itself: the workflow behind a deliverable, the decision made under real constraints, the tool reached for next, the correction a senior person makes, the exception that breaks the rule, and what happened after.

That record lives inside operating businesses. It is generated every day, it is mostly unused, and it is the next frontier of training signal.

Historical data tells us what happened.

Workflow data tells us how.

Outcomes tell us what worked.

02 / Data

The most valuable data is created while work is happening.

S-01

Operational workflows

The actual sequence of steps a team follows to get work out the door.

S-02

Decision trails

What was chosen, what was rejected, and the context at the moment of choice.

S-03

Human edits and corrections

Where an expert changed the output, and exactly how.

S-04

Tool-use sequences

Which systems were opened, in what order, to finish a real task.

S-05

Exceptions

The cases that broke the process, and how people resolved them.

S-06

Outcomes

What shipped, what converted, what failed, tied back to the work.

S-07

Longitudinal history

The same work repeated over months and years. Patterns, not snapshots.

Standard

Permissioned.
Rights-aware.
Provenance-first.

03 / Labs

From raw operations to proprietary intelligence.

Pillar 01

Live workflows

Marketing production intelligence.

Briefs, drafts, edits, publishes, and performance captured from our own live content products.

Pillar 02

Jottings.ai

Real-world business data supply.

Permissioned operational records from companies, prepared and licensed. PII excluded.

data.cool turns those signals into datasets, benchmarks, evals, and environments.

Datasets

Curated, provenance-tagged corpora of real work.

Benchmarks

Scored against how professionals actually perform.

Evals

Built from real corrections and real outcomes.

Environments

Replayable workflows agents can act inside.

04 / Research

We measure what actually happens.

R-01Forthcoming

Marketing Production Index

What marketers actually build, edit, publish, and measure.

R-02Forthcoming

Stock vs. Flow

Why historical business data is only the beginning.

R-03Forthcoming

The anatomy of a valuable operational dataset

What makes business history useful for AI.

R-04Forthcoming

Human correction as intelligence

What edits and overrides reveal about judgment.

05 / Partners

For AI labs

Tell us what real-world work you need models to learn.

Domain, task types, volume, and how you'll evaluate. We scope it, source it with permission, and deliver it with provenance.

Contact data.cool

For businesses

Your company may already be sitting on valuable operational data.

The workflows, decisions, and outcomes your team already produces can be licensed. Permissioned, PII excluded, on your terms.

Go to Jottings.ai

Better intelligence needs better evidence of how the real world works.

That's what we're building.

data.cool