Purchaser

Purchaser (PurchaserAI) — Structured RFQ and bid-leveling corpus from utility transmission & distribution procurement: normalised multi-vendor quotes for transformers, switchgear, conductors and related construction services, aligned line-by-line across competing OEMs; machine-extracted equipment specifications with compliance-deviation flags; regionally normalised pricing AND delivery-schedule/lead-time fields held on the same record; revision-aware BOM-to-quote alignment; award/non-award outcomes; and an exportable audit trail of the evaluation. Plus adjacent corpora from the EPC, LNG and M…

Purchaser offers (Alternative, Fundamental, Supply Chain, Sentiment) — Not disclosed. Structurally the corpus is RFQ-dense rather than row-dense: each T&D RFQ carries multiple competing OEM quotes decomposed to line-item level, so a single transformer or switchgear tender can yield hundreds of aligned price/lead-time records. Across four verticals (EPC, LNG, Manufacturing, T&D) a plausible cumulative corpus is in the tens of thousands of normalised quote lines — request further research for the actual count..

A transaction-level equipment price and lead-time panel that is otherwise unobtainable — realised winning and losing bid prices for transformers and switchgear by specification and region, with quoted delivery weeks, which is the missing denominator behind every headline lead-time claim in this sector; inflation and tariff pass-through nowcasting on grid capex; OEM pricing-power and margin analysis for listed electrical-equipment makers; grid-capex cycle tracking ahead of utility rate cases; document-AI training data (unstructured quote to structured field extraction with ground-truth alignment) and preference/correction pairs from evaluator edits

The data is with 2 years of history.

Coverage spans US, Europe, UK, Japan; Electrical Equipment & Components, Electronic Manufacturing Services, Electric Utilities; alternative, fundamental, supply_chain, sentiment; equities.