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Edgevanta — Two-layer highway-bid asset. (1) A normalized 50-state DOT bid-tab panel at bidder x line-item x category granularity, refreshed as each state publishes tabs, with derived competitor win-rate, market-share, and per-bidder price-forecast features. (2) A byproduct corpus from the estimating automation: contractor-uploaded bid documents — spec books, plans with drawing notes, bid forms, and pay-item tables — machine-extracted into export-ready line items with detected spec conflicts, buried requirements, and compliance checklist verdicts. Layer 2 is the scarce asset: it is real contr…
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Two-layer highway-bid asset. (1) A normalized 50-state DOT bid-tab panel at bidder x line-item x category granularity, refreshed as each state publishes tabs, with derived competitor win-rate, market-share, and per-bidder price-forecast features. (2) A byproduct corpus from the estimating automation: contractor-uploaded bid documents — spec books, plans with drawing notes, bid forms, and pay-item tables — machine-extracted into export-ready line items with detected spec conflicts, buried requirements, and compliance checklist verdicts. Layer 2 is the scarce asset: it is real contractor estimating work, structured, that no public portal publishes.
From 10 yearsCoverage Industrials · Information TechnologyAsset class Equities
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Edgevanta — Two-layer highway-bid asset. (1) A normalized 50-state DOT bid-tab panel at bidder x line-item x category granularity, refreshed as each state publishes tabs, with derived competitor win-rate, market-share, and per-bidder price-forecast features. (2) A byproduct corpus from the estimating automation: contractor-uploaded bid documents — spec books, plans with drawing notes, bid forms, and pay-item tables — machine-extracted into export-ready line items with detected spec conflicts, buried requirements, and compliance checklist verdicts. Layer 2 is the scarce asset: it is real contr…
Edgevanta offers (Alternative, Supply Chain, Sentiment, Reference) — Millions of line-item bid rows on the structured side (50 state DOT programs x multi-year letting archives x every bidder x every pay item). On the document side: an undisclosed but growing corpus of contractor-uploaded spec books, plan sets, and bid forms with extracted pay-item tables — the volume driver is 10 hours of manual extraction saved per estimator per week across the customer base..
Bid-price forecasting and competitor-behavior modeling in heavy civil; win-rate and market-share estimation by trade and region; highway construction price-index and escalation inputs; public-infrastructure cost-escalation alpha ahead of reported contractor margins; engineer's-estimate calibration and bid-abuse detection; document-AI training on real construction specs and plans (layout/OCR, note extraction, requirement-conflict detection); go/no-go decision modeling from historical bid outcomes; contractor margin-benchmarking products.
The data is with 10 years of history.
Coverage spans US; Heavy Construction, Application Software; alternative, supply_chain, sentiment, reference; equities.
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