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Arcee.ai

Arcee is building context-adapted SLM's (Small Language Models) through our SLM Adaptation system, which runs entirely in your cloud. This system all includes a continual pretraining layer + a model merging layer, an alignment layer and a RAG layer—all in one system. Arcee are the pioneers of model merging and creators of the mergekit library. Arcee's system allows you to get merged models into prod fast. and runs in your own environment. This provides you full control over model, data, and intellectual property–thus removing data privacy and security concerns, and removing any licensing uncertainty.

Miami, United States20 people
AI/MLDataDeveloper ToolsEnterprise Software

Team20

NameLocationLinksContact
Lucas Atkins
Chief Technology Officer
San Francisco Bay Area
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Mark McQuade
Co-founder
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Brett Larsen
Head of Research
San Francisco Bay Area
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Molly Niland
Chief Of Staff
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Danielle McClune
Lead
Greater Seattle Area
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Hunter Bown
Lead
San Francisco Bay Area
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Varun Singh
Pre-training Lead
San Francisco, California, United States
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Allison Durham
Member of Technical Staff
San Francisco, California, United States
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Chris Smith
Principal Solution Architect
Plano, Texas, United States
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Luke Meyers
Sr Applied NLP Research Engineer
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Mason Towne
Member of Technical Staff
Greater Boston
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Maziyar P.
Principal AI Engineer
Paris, Île-de-France, France
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Anneketh Vij
AI Research Engineer
San Francisco Bay Area
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Asif Giga
Board Observer
Palo Alto, California, United States
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Elliot Stein
PHD Researcher
London, England, United Kingdom
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Jesse Middleton
Seed Investor
New York, New York, United States
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John J. Villa
Investor
San Francisco, California, United States
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Sharif F. Zu'bi
GTM
New York, New York, United States
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Shlomo Mirvis
Investor
Tel Aviv District, Israel
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Zachary Kirkendall
Labs Logistics Specialist
San Antonio, Texas, United States
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