A18 Labs is actively sourcing and evaluating proprietary operating histories that may be useful for AI training, evaluation, reinforcement learning, or data licensing. You do not need a perfectly packaged dataset.
The most interesting data usually shows how experienced people got from a starting state to a result, including what they changed when something went wrong.
Reviewer comments, corrections, exceptions, approvals, and final financial outputs.
Raw outputs connected to expert interpretation, reruns, exceptions, and final conclusions.
Failed attempts and iterative changes are often as important as successful formulations.
Histories connecting defects or measurements to engineer actions and eventual outcomes.
The useful data is the full decision trail, not a pile of isolated tickets.
Repeated real-world decisions tied to results can become useful training examples.
If your company has years of repeatable work where a person received context, made decisions, corrected mistakes, and produced measurable outcomes, it may be worth reviewing even if it is not listed above.
Use the personalized estimator or book 15 minutes. A18 Labs only asks for a representative sample after we think the opportunity is worth pursuing.