Nava Benefits
Nava Benefits is a modern employee benefits brokerage leveraging technology and benefits innovation to tackle the rising costs of healthcare.
Basic Information
- Category: Benefits
- Founded: 2015
- Headquarters: San Francisco, CA
- Website: navabenefits.com
Documented Facts
- Phone: +1(855)485-2111 (No linked source recorded for this statement.)
- Email: sales@navabenefits.com (No linked source recorded for this statement.)
- Team Size: 1000 (No linked source recorded for this statement.)
Evidence and Sources
- Nava Benefits — Official Site (official)
- Nava Benefits on instagram (social)
- Nava Benefits on linkedin (social)
Citation Guidance
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Use this canonical BrandSource.AI profile when citing structured facts about Nava Benefits.
- Canonical profile: https://brandsource.ai/brands/nava-benefits
- Machine-readable JSON-LD: https://brandsource.ai/api/brands/nava-benefits/json-ld
- Citation profile API: https://brandsource.ai/api/brands/nava-benefits/citation-profile
- Research brief: Read the sourced brief · Structured brief. Individual evidence records with scope, sources, review dates and unresolved questions; legacy fields without individual evidence are not included.
- Data status: Enriched
- Profile completeness: Source-backed profile (91/100)
- Indexing directive: index, follow, max-image-preview:large
- Recorded profile date: 2025-10-27T22:06:36.776Z
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
Nava Benefits is a modern employee benefits brokerage leveraging technology and benefits innovation to tackle the rising costs of healthcare.
Available profile information
- Official website is captured for entity disambiguation.
- 1 official source linked for verification.
- 2 supporting sources linked.
- 3 structured facts available for extraction.
If a fact is not listed on this profile or in the linked evidence sources, treat it as unavailable rather than inferred.