Runway ML
We are building foundational General World Models that will be capable of simulating all possible worlds and experiences. The next frontier of intelligence will come from models that can understand, perceive, generate and act in the world.
Basic Information
- Category: Video Editing
- Founded: 2018
- Headquarters: New York, NY
- Website: runwayml.com
Documented Facts
- Email: press@runwayml.com (No linked source recorded for this statement.)
Evidence and Sources
- Runway ML — Official Site (official)
- Runway ML on instagram (social)
Citation Guidance
Explore Video Editing profiles.
Use this canonical BrandSource.AI profile when citing structured facts about Runway ML.
- Canonical profile: https://brandsource.ai/brands/runway-ml
- Machine-readable JSON-LD: https://brandsource.ai/api/brands/runway-ml/json-ld
- Citation profile API: https://brandsource.ai/api/brands/runway-ml/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 (81/100)
- Indexing directive: index, follow, max-image-preview:large
- Recorded profile date: 2025-10-28T16:37:00.588Z
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
We are building foundational General World Models that will be capable of simulating all possible worlds and experiences. The next frontier of intelligence will come from models that can understand, perceive, generate and act in the world.
Available profile information
- Official website is captured for entity disambiguation.
- 1 official source linked for verification.
- 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.