Transfer pricing benchmarking software for comparable screening
Upload your database export, review comparable companies with AI support, and produce branded PDF and Excel reports. Your team approves the comparable set and the conclusions.
From database export to reviewed benchmark
AI Benchmarks supports comparable-company screening for TNMM studies. Start with an export from your existing database, then review company descriptions, website evidence and suggested accept/reject decisions in one workflow. Check the effect of your decisions on the range before exporting the report. Database access is separate; your team remains responsible for the search strategy and final analysis.
For teams doing comparable-company screening
Use the software for the review work that follows your database search.
Advisory teams reviewing a longlist of potential comparables for TNMM studies, with a reason recorded for each acceptance or rejection.
Senior reviewers checking company activities against the tested party and inspecting the evidence behind a screening decision.
In-house tax teams preparing recurring benchmarks and keeping the reviewed company set, calculations and reporting together.
What you upload, review and export
- Step 1:
Upload the company export from your existing database search. Keep your own database subscription and search criteria.
- Step 2:
Review company descriptions and website evidence gathered with AI support. Investigate missing or conflicting information.
- Step 3:
Check suggested accept/reject decisions against your screening criteria. Override them where needed and inspect the impact on the range.
- Step 4:
Export branded PDF and Excel outputs after review, with the comparable-company analysis and supporting rationale.
What the software does and what stays with your team
Check the study type and data requirements before starting a benchmark.
Database access is not included.
AI Benchmarks starts after the initial database search and export.
The supported workflow is comparable-company TNMM benchmarking.
Discuss other study types with the team before choosing a plan.
AI suggestions need professional review.
Your team checks source evidence, selects the method and PLI, and approves the final comparable set.
See the product, a customer example, or the method
Choose a product walkthrough or continue with the technical guidance.