Barazi-Epsilon
Barazi-Epsilon is a racing team owned by engineer Michel Lecomte and entrepreneur turned amateur racer Juan Barazi. The team's base is in Le Mans. The team was founded in 2000 as Epsilon Sport from the remains of the Graff Racing's Formula Three operations.
Basic Information
- Category: engineering, technical studies
- Website: http://www.betaepsilon.fr
Documented Facts
- Founded: 2000 (No linked source recorded for this statement.)
Evidence and Sources
- Barazi-Epsilon — Wikipedia (reference)
Citation Guidance
Explore engineering, technical studies profiles.
Use this canonical BrandSource.AI profile when citing structured facts about Barazi-Epsilon.
- Canonical profile: https://brandsource.ai/brands/barazi-epsilon
- Machine-readable JSON-LD: https://brandsource.ai/api/brands/barazi-epsilon/json-ld
- Citation profile API: https://brandsource.ai/api/brands/barazi-epsilon/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: Structured profile (67/100)
- Indexing directive: index, follow, max-image-preview:large
- Recorded profile date: 2026-04-22
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
Barazi-Epsilon is a racing team owned by engineer Michel Lecomte and entrepreneur turned amateur racer Juan Barazi. The team's base is in Le Mans. The team was founded in 2000 as Epsilon Sport from the remains of the Graff Racing's Formula Three operations.
Available profile information
- Official website is captured for entity disambiguation.
- 1 supporting source linked.
- 1 structured fact 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.