Training data, made by experts.
Build or improve your training dataset, with expert review and documented quality checks.
Can a client deduct the cost of a home office?
Original · missing conditions
Yes. Home office costs are deductible, so add them to your business expenses.
Corrected by a CPA
Only if the space is used regularly and only for the business. Check how the room is used, then keep records of its size and costs.
Why the expert changed it
The AI left out the conditions, so a client who also uses the room as a guest room would claim a deduction they cannot take.
Reviewed by a second CPA
Examples written by CPAs
2,400
Evaluate on questions the model has not trained on.
Delivered with dataset documentation
Choose your starting point.
Create new examples, improve an existing dataset or explore licensed data.
- 01Commission new dataCommission examples tailored to your task, format, volume and quality requirements.
- 02Bring your own dataHave experts review, correct and expand your existing dataset.
- 03License a datasetAsk which documented, expert-created datasets are available to license.
- 04License proprietary dataRecords of how real businesses work, appraised and prepared by experts from their industry.
Training and evaluation formats.
Choose the examples and evaluation criteria your task requires.
- Worked examples
- A hard question from the field, with an expert's answer and the reasoning behind it.
- Questionanswerreasoning
- Corrections
- An AI's wrong answer, the expert's fix, and the reason it was wrong.
- Wrong answerfixreason
- Comparisons
- Two answers to the same question, the one an expert prefers, and why.
- A or Bchoicereason
- Grading guides
- What a good answer must include, written so anyone grading applies it the same way.
- Criteriahow to judge each
- Test sets
- Questions kept back from training, so you can measure your AI on work it has never seen.
- Kept backgraded by experts
Trace each example to its source.
Inspect the author, reference material, reviewer and audit history. Authors do not approve their own work.
- WrittenBy a CPA with 14 years in practice
- CheckedAgainst the current tax code
- ReviewedBy a second CPA, who agreed
- AuditedPicked at random and checked again
A dataset your team can use.
- The dataIn the format your team trains on.
- Dataset documentationWhat it covers, how it was made, and what it should not be used for.
- A version historyVersion identifiers and a record of changes.
- A test setHeld-out questions for comparing model performance.
- Source and review historyA record of who created and reviewed each example.
Can you work with data we already have?
Yes. We take in what you have, on your terms, and experts check it, correct it where it falls short, and extend it to the cases your AI will meet.
How do you check quality?
A second expert reviews every piece, no one approves their own work, and a random sample is checked again, so you can see how good the data is before you train on it.
Who makes the data?
Credentialed professionals in the field, found and vetted by Navaday for your project. See Expert networks for how they are vetted.
Do you train our model?
No. We create training data and evaluate model outputs. Your team trains the model.
Which fields do you cover?
Finance, Accounting, Healthcare Operations, Medical, Life Sciences, Legal, Data Science, Math, Chemistry, Biology, Physics, Coding, Mechanical Engineering and Electrical Engineering. If you need another field, ask us.