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Latest news, updates, and announcements from Motif.

Motif Technologies open-sources 314B-parameter MoE foundation model Motif 3
TechnologyAug 13, 2026

Motif Technologies open-sources 314B-parameter MoE foundation model Motif 3

Motif Technologies, a South Korean AI startup, has open-sourced its self-developed foundation model, Motif 3, on Hugging Face. The model is a Mixture-of-Experts (MoE) with 314 billion total parameters...

Motif Technologies’ self-designed LLM ‘Motif-3’ scores 44 on AAII benchmark, tying DeepSeek V4 Pro (Max)
TechnologyJul 21, 2026

Motif Technologies’ self-designed LLM ‘Motif-3’ scores 44 on AAII benchmark, tying DeepSeek V4 Pro (Max)

Motif Technologies, a South Korean AI startup, released interim results for its large language model Motif-3, currently being developed under the government’s Independent AI Foundation Model (Dokpamo)...

Motif Technologies raises $17M Series B for proprietary Korean AI foundation models
FundingMay 27, 2026

Motif Technologies raises $17M Series B for proprietary Korean AI foundation models

Korean AI startup Motif Technologies has raised 24 billion won (~$17M) in a Series B round. Existing investors Nice Investment Partners and Nautilus Investment participated alongside new backers Dito...

Motif Technologies has unveiled Motif-2-12.7B, a 12.7-billion-parameter LLM developed in just seven...
TechnologyFeb 14, 2026

Motif Technologies has unveiled Motif-2-12.7B, a 12.7-billion-parameter LLM developed in just seven...

Motif Technologies has unveiled Motif-2-12.7B, a 12.7-billion-parameter LLM developed in just seven weeks. This model remarkably outperforms larger competitors like Alibaba Qwen2.5 72B and Google Gemm...

Korean AI startup Motif's 12.7B parameter model beats GPT-5.1 in reasoning benchmarks, revealing tha...
TechnologyDec 15, 2025

Korean AI startup Motif's 12.7B parameter model beats GPT-5.1 in reasoning benchmarks, revealing tha...

Korean AI startup Motif's 12.7B parameter model beats GPT-5.1 in reasoning benchmarks, revealing that enterprise LLM success depends on data alignment, not model scale. Their 64K context training requ...

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