AI-Ready Data / Assessment & verification
Give buyers a clear reason
to take the next step.
Show how much real work your data can reconstruct—with verified links, consistent identities, and evidence they can inspect. Ohio Training Data connects labs and brokers with operational data for AI training and RL gyms. Our partner Clear Harness helps get that data quality-ranked, so its strengths and gaps are easier to evaluate.
Quality ranking with Clear Harness, our partner. Opens their website.
thread_012issue_108event_026project_042Consistent identityemployee_017file_064file_064 · v1 → v2Requests, actions, decisions, and outcomes.
Across systems. Before and after de-ID.
A quality report and a map to the records.
The question that matters
A record count describes the size of a dataset. Connected evidence shows what a buyer can reconstruct from it. We help you demonstrate that difference.
The evaluation question our service is built around.
Inside your quality assessment
Go into the next evaluation with answers. Through our partnership with Clear Harness, explore quality ranking against the requirements that matter to your use case. Agree the scope and methodology for your sample with the assessment provider.
86%
Do the records connect?
860 of 1,000 eligible records have at least one validated relationship to another system.
94%
Do connections survive?
470 of 500 validated, in-scope original links remain usable after de-identification.
98%
Is the same person still the same person?
196 of 200 reviewed cross-application employee mappings retain the correct stable identity.
4 / 5
Can you follow the work to its outcome?
Four of five selected workflows include a linked request, actions, decision, and observable result.
Median per active employee-month, by type
Is there enough context to learn from?
Compare activity by employee, role, system, and month—not just a company-wide total.
6 / 6
Do the sources cover the same work?
All six requested source types have records in the same 90-day sample window.
Four complete workflows.
One missing its final approval.
Four chains can move to task-design review. The fifth needs its approval record located or its limitation disclosed.
Resolve the evidence gap before presenting that workflow as complete.
Every result is tied to a sample, dataset version, and agreed criteria. A selected sample does not establish whole-dataset quality or model performance.
See what your sample revealsYour data. Your next move.
Bring us a dataset, a buyer’s specification, or a sourcing requirement. Explore the evidence you need with our quality-ranking partner, Clear Harness.
Source connected operational data for agent training, evaluation, and reinforcement learning environments—or assess a sample you already have.
Give brokers and direct buyers something concrete to evaluate. Quality ranking with Clear Harness helps you make a stronger case for the best rates your data can support. Understand your data’s strengths, address its gaps, and explain its usefulness with evidence.
Make your next conversation concrete
Turn an assessment into useful next steps. Discuss a package with Clear Harness that explains the findings, shows how to connect the records, and makes the work inspectable. The scope below is a framework for that conversation.
Start with a sample evaluationMeasured results, denominators, sample coverage, exceptions, and a prioritized list of fixes. A clear account of what was checked and what remains open.
Source inventory, schemas, stable pseudonymous IDs, join keys, relationship types, timestamps, lineage, and de-ID transformations.
issue_108.project_id → project_042.idcomment_031.file_id → file_064.idJoin rules · supporting evidence · known gapsDirect and inferred links are distinguished. Re-identification keys stay out of the buyer package.
Reviewed projects or issues with communications, actions, revisions, decisions, and outcomes. Missing steps are visible, so buyers can assess fitness for their use case.
Your first step
You don’t need to start with a full export. Inquire about a focused test to see what connects, what is missing, and what deserves a closer look.
Relevant email, calendar, chat, files, comments, and version history—with the relationships preserved.
Your next step with Clear Harness
Visit Clear Harness to discuss what you have and what you want to use it for. Confirm the evaluation scope, pricing, deliverables, and sample-handling process directly with our partner.
Start with a conversation.
A high-level description is enough.
Agree the scope and cost.
Before transferring any dataset.
You’ll leave Ohio Training Data for our partner’s site. Review the agreed scope and handling process before sharing records. Quality ranking does not guarantee a purchase, licensing price, or model-performance gain.
Choose the sample and agree the intended use, buyer requirements, and assessment criteria.
Review the agreed sample. Paired, authorized exports enable a before-and-after de-ID comparison.
Review measured quality, missing context, and fixes. Decide how to improve, present, or evaluate the dataset next.
A few useful answers
Questions about your systems or a buyer’s requirements? Let’s talk through them.
Documented checks against agreed criteria for a named dataset version and sample. The report distinguishes measured results, reviewed evidence, assumptions, and untested areas. It is not a blanket certification of a whole dataset or a guarantee of buyer acceptance.
No. Connected records can support task reconstruction, but an RL environment also needs task definitions, allowed actions, environment behavior, and outcome or reward checks. A quality review assesses source evidence and gaps relevant to that intended use; model performance requires a separate evaluation.
Discuss an assessment for those conversations with Clear Harness and agree which findings and examples may be shared. Existing exclusivity, confidentiality, licensing rights, and buyer requirements still apply. A report describes the assessed version and needs revisiting when that data changes.
Clear Harness is our partner for quality ranking of business data. That is distinct from exploring the commercial licensing opportunity. The Troveo business assessment is a separate starting point for exploring a licensing opportunity. We may receive compensation for qualifying Troveo referrals; see our disclosures.
No. Linkage quality and privacy are separate checks. Consistent pseudonymous identities help connect work, but they do not establish anonymity or permission to share records. Privacy, rights, permitted uses, and sample handling must be addressed within the agreed scope.
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