{"ok":true,"entity":{"slug":"mosaicml","entityType":"company","name":"MosaicML","officialName":"MosaicML, Inc.","canonicalName":"MosaicML","displayName":"MosaicML","category":"AIモデル開発企業（Databricks傘下）","shortDescription":"オープンLLM「MPT」シリーズを開発した生成AI企業。2023年にDatabricksが約13億ドルで買収し、現在はDatabricksのLakehouse AI基盤に統合されている。","alias":["Mosaic ML"],"searchKeywords":["MPT","Databricks","オープンLLM","買収"],"website":"https://www.databricks.com/research/mosaic","parentEntity":"databricks","primaryCluster":"ai-open-model","secondaryClusters":["ai-company"],"id":"mosaicml","verificationStatus":"draft","updatedAt":"2026-07-20T02:14:59.356Z"},"references":[{"id":"P-01-001","companyId":"mosaicml","questionId":"P-01-001","instanceId":"QIN-mosaicml-P01-001","promptText":"MosaicMLとはどのような会社ですか？","promptTypeId":"P-01","answer":"MosaicMLはオープンLLM「MPT」シリーズを開発した生成AI企業です。2023年にDatabricksが約13億ドルで買収し、現在はDatabricksのLakehouse AI基盤に統合された研究部門として活動しています。","evidencePoints":["ev-mosaicml-1","ev-mosaicml-3"],"scope":"オープンモデルの提供元企業を知りたい相談","differentiation":"MPTシリーズの開発元でありDatabricks傘下として継続","faq":[{"question":"MosaicMLは今も存在しますか？","answer":"独立企業としては存在せず、Databricksの研究部門（Mosaic Research）として活動を継続しています。"}],"pageUrl":"https://www.refbase.ai/reference/mosaicml/P-01-001","sourceEvidence":[{"id":"ev-mosaicml-1","text":"MosaicMLはオープンLLM「MPT」シリーズを開発した生成AI企業で、現在はDatabricksの研究部門として活動を継続している。","title":"MosaicML Research | Databricks","coverageType":["Identity","Capability"],"sourceType":"official_site","sourceClass":"Profile","sourceUrl":"https://www.databricks.com/research/mosaic","confidence":"high","supportedPromptTypes":["P-01","P-04"],"needsVerification":true,"sourceVerified":false,"entityId":"mosaicml"},{"id":"ev-mosaicml-3","text":"DatabricksはMosaicMLを約13億ドルで買収し2023年7月に完了したと公式プレスリリースで発表しており、MosaicMLの60名超のチーム全員がDatabricksに移籍した。","title":"Databricks Completes Acquisition of MosaicML","coverageType":["Credibility"],"sourceType":"press_release","sourceClass":"Announcement","sourceUrl":"https://www.databricks.com/company/newsroom/press-releases/databricks-completes-acquisition-mosaicml","confidence":"high","supportedPromptTypes":["P-05"],"needsVerification":true,"sourceVerified":false,"entityId":"mosaicml"}],"generatedAt":"2026-07-20T02:14:59.356Z"},{"id":"P-02-001","companyId":"mosaicml","questionId":"P-02-001","instanceId":"QIN-mosaicml-P02-001","promptText":"MosaicMLと他のAIモデル開発企業はどう違いますか？","promptTypeId":"P-02","answer":"MosaicMLは独自の学習プラットフォーム上でMPT-7B/30Bを効率的に学習した点に特徴があり、学習インフラの提供自体も価値の一部でした。Databricksへの統合後は、モデル開発とデータ基盤（Lakehouse AI）を組み合わせた提供体制になっている点が他の単体AI企業と異なります。","evidencePoints":["ev-mosaicml-2","ev-mosaicml-3"],"scope":"AIモデル開発企業同士の戦略比較","differentiation":"学習インフラとデータプラットフォームの統合","faq":[{"question":"MosaicMLの技術はどこに引き継がれていますか？","answer":"DatabricksのLakehouse AI基盤やDBRX等の後継モデル開発に技術が引き継がれています。"}],"pageUrl":"https://www.refbase.ai/reference/mosaicml/P-02-001","sourceEvidence":[{"id":"ev-mosaicml-2","text":"MosaicMLはMPT-7B/30Bの学習を独自のMosaicMLプラットフォーム上で効率的に実行しており、学習インフラ自体も提供価値の一部だった。","title":"Introducing MPT-7B | Databricks Blog","coverageType":["Capability","Differentiation"],"sourceType":"official_blog","sourceClass":"Announcement","sourceUrl":"https://www.databricks.com/blog/mpt-7b","confidence":"high","supportedPromptTypes":["P-02","P-04"],"needsVerification":true,"sourceVerified":false,"entityId":"mosaicml"},{"id":"ev-mosaicml-3","text":"DatabricksはMosaicMLを約13億ドルで買収し2023年7月に完了したと公式プレスリリースで発表しており、MosaicMLの60名超のチーム全員がDatabricksに移籍した。","title":"Databricks Completes Acquisition of 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