Purchaser

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 Manufacturing verticals (long-lead equipment with assumption-driven pricing detection).

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Coverage

Universe, instruments and categories.

Industry: Electrical Equipment & ComponentsElectronic Manufacturing ServicesElectric Utilities
Instruments

Dataset card

Type: not stated
Format: Multimodal — originally unstructured vendor quote documents (PDF/spreadsheet) transformed into structured comparison records, delivered through a web app with a REST API, webhooks and bi-directional ERP/asset-management integration
Volume: 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.
Users: N/A — enterprise B2B procurement SaaS sold per utility/EPC seat, no registered-user count published; the meaningful population is distinct RFQs and vendors, which is also undisclosed
History: 2 years
Update frequency: not stated
Growth: Active — four industry vertical pages, a weekly newsletter ('The Procurement Brief', with dated weekly roundups), an ongoing blog, a sourcing-guide library, a live app login and a Seed round on record
Launched: Est. 2023-2025 — company record created early 2024 with a Seed round on record and 45 employees, placing the founding and product launch in the recent AI-document-extraction wave; no launch date or 'since' statement is published
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

supplier index read from their site