Procurementsciences

PROCUREMENTSCIENCESManage supplier listing

A structured federal capture-intelligence dataset generated by research agents over hundreds of federal and public sources: competitor profiles carrying win rates, contract history, strengths, vulnerabilities and market positioning; agency intelligence briefs; government contact and account profiles with relationship-strategy linkage; and per-solicitation scored evaluations across mission capability, technical approach and past performance, each returned with direct citations to the source solicitation text. Sold as an intelligence engine rather than a database, with an attached opportunity pipeline and CRM layer.

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Coverage

Universe, instruments and categories.

Industry: Application Software
Instruments: equities
Categories: GovernmentAlternativeSentiment
Regions: US
Sample tickers: CACISAICGDLMTHIIBAHKBRAVAV

Dataset card

Type: not stated
Format: Tabular/JSON (structured briefs, scored evaluation records, opportunity and contact records) + Text (narrative intelligence briefs with inline citations); delivered via SaaS, cloud or on-premise deployment, with CRM and Salesforce integration
Volume: Request further research — the page states intelligence is assembled across hundreds of federal and public data sources but publishes no record counts for the underlying award, solicitation or contact collections; the vendor can supply exact corpus sizes, and that figure is the primary thing to request in first contact
Users: est. hundreds to low thousands of licensed capture-team seats (inferred from $5.5M revenue against a $249-per-month-class enterprise product, implying a customer base in the hundreds of accounts rather than thousands of individuals)
History: 3 years
Update frequency: not stated
Growth: Active — Series B venture backing totaling $40.2M raised, roughly 98 staff, FedRAMP Moderate authorization obtained, and continuous product surface expansion into agent-based research; a scaling company rather than a maintenance-mode one
Launched: est. 2023-2024 for Awarded AI (inferred from the company record's founding window, Series B timing and an architecture built entirely around large-language-model research agents; the parent company predates the product)
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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