We turn messy procurement packages into structured demand. Even from inconsistent specifications, THARWAH extracts what the project actually needs to buy, build, or service.
We clean and structure local supplier data. No more searching through duplicates and dead records—supplier information is queryable and ready for matching.
Our pipeline is tested. 66 automated tests passed on text and specification preprocessing
Evidence-based matching & confidence scoring — AI links specific requirements to potential local suppliers, backed by traceable evidence.
Review dashboard — EPC teams review evidence, flag gaps, and see exactly what remains unverified before bid submission.
Expert validation — match quality is tested with procurement and engineering specialists.
Test a defined sample of a real tender package (e.g., a BOQ or scope of work with embedded requirements):
Match precision: how many proposed matches are confirmed as relevant
Coverage: how many items have relevant domestic candidates
Review effort: expert time needed to assess results
Evidence quality: whether each match is backed by traceable information
Acceptance criteria will be agreed with the pilot partner before testing. A proposed match is a potential candidate, not a confirmed supplier.
A representative sample from a real tender package (BOQ/scope of work)
Data access under NDA
A few hours of expert review to validate results