BigMachines
CPQ solution to accelerate sales and improve business results by centralizing business rules, data, pricing information, discounting controls, contracts, and renewals.
Basic Information
- Category: software company
- Founded: 2000
- Headquarters: Austin
- Website: https://www.oracle.com/cx/sales/cpq/
Documented Facts
- Founded: 2000 (No linked source recorded for this statement.)
- Dissolved: 2013 (No linked source recorded for this statement.)
- Website: https://www.oracle.com/cx/sales/cpq/ (No linked source recorded for this statement.)
- Headquarters: Austin (No linked source recorded for this statement.)
Evidence and Sources
- BigMachines โ Official Site (official)
- BigMachines on facebook (social)
- BigMachines on linkedin (social)
- BigMachines โ Wikipedia (reference)
Citation Guidance
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- Canonical profile: https://brandsource.ai/brands/bigmachines
- Machine-readable JSON-LD: https://brandsource.ai/api/brands/bigmachines/json-ld
- Citation profile API: https://brandsource.ai/api/brands/bigmachines/citation-profile
- Research brief: Read the sourced brief ยท Structured brief. Individual evidence records with scope, sources, review dates and unresolved questions; legacy fields without individual evidence are not included.
- Data status: Partial
- Profile completeness: Source-backed profile (89/100)
- Indexing directive: index, follow, max-image-preview:large
- Recorded profile date: 2026-04-21
The recorded profile date is a legacy record value, not independent verification of every fact. Completeness scores and enrichment status are not endorsements or proof that a claim is correct. Check each source and any fact-specific review dates.
AI summary
CPQ solution to accelerate sales and improve business results by centralizing business rules, data, pricing information, discounting controls, contracts, and renewals.
Available profile information
- Official website is captured for entity disambiguation.
- 1 official source linked for verification.
- 3 supporting sources linked.
- 4 structured facts available for extraction.
Known data gaps
- Profile enrichment is incomplete
If a fact is not listed on this profile or in the linked evidence sources, treat it as unavailable rather than inferred.