How much funding has Motif raised?

Motif has raised KRW 24B+ (~$16.6M+; Series B disclosed; earlier rounds undisclosed) in total funding. Their latest funding round was Series B. Key investors include NICE Investment Partners, Nautilus Investment, Ditto Investment, Forest Ventures.

Where is Motif headquartered?

Motif is headquartered in Seoul, South Korea. The company has a team of N/A people.

Motif operates in the Foundation Models / LLMs sector. A South Korean AI startup developing high-performance open-source large language models (LLMs) and multimodal foundation models with proprietary Grouped Differential Attention (GDA) architecture for enterprise and personal AI applications. Delivers frontier-level AI performance at significantly lower cost through proprietary GDA architecture and full-stack optimization (infrastructure, model architecture, operations), enabling high-performance models to run under constrained compute budgets while matching or exceeding larger proprietary models.

When was Motif founded?

Motif was founded in 2025. It is based in Seoul, South Korea.

How much funding has Motif raised?

Motif has raised KRW 24B+ (~$16.6M+; Series B disclosed; earlier rounds undisclosed) in total funding. Key investors include NICE Investment Partners, Nautilus Investment, Ditto Investment, Forest Ventures.

Who is the CEO of Motif?

Lim Jung-hwan (임정환) is the CEO of Motif. The company was founded in 2025.

Where is Motif located?

Motif is headquartered in Seoul, South Korea.

What funding stage is Motif at?

Motif is currently at the Commercial stage.

How many employees does Motif have?

Motif has approximately N/A employees.

Motif

Category: Foundation Models / LLMs

A South Korean AI startup developing high-performance open-source large language models (LLMs) and multimodal foundation models with proprietary Grouped Differential Attention (GDA) architecture for enterprise and personal AI applications. Motif was founded in 2025. The company is led by Lim Jung-hwan (임정환). Based in Seoul, South Korea. Team size: N/A. Total funding raised: KRW 24B+ (~$16.6M+; Series B disclosed; earlier rounds undisclosed). Latest round: Series B. Key investors include NICE Investment Partners, Nautilus Investment, Ditto Investment, Forest Ventures.

AMW Analysis

Motif develops open-source large language models and multimodal foundation models using its proprietary Grouped Differential Attention architecture, targeting enterprise and personal AI applications. The South Korean startup, founded in 2025, has secured government backing through the National AI Foundation Model Project and a strategic partnership with Samil PwC. Its recent news flow shows rapid product iteration and growing investor confidence. In December 2025, a 12.7-billion-parameter model outperformed GPT-5.1 on reasoning benchmarks, emphasizing data alignment over scale. By February 2026, Motif-2-12.7B, built in seven weeks, surpassed larger models from Alibaba and Google on reasoning tasks. In May 2026, the company raised a $17 million Series B round from existing investors Nice Investment Partners and Nautilus Investment, joined by Dito Investment and Forest Ventures. Most recently, in July 2026, the 314-billion-parameter Motif-3 beta, developed under the government’s Independent AI Foundation Model project, tied DeepSeek V4 Pro with an AAII score of 44. The trajectory shows consistent performance gains across model sizes, with funding and government partnerships supporting continued development of efficient, high-performance foundation models.

AMW analysis, generated from 4 tracked news signals.

Founded: 2025
Headquarters: Seoul, South Korea
Team size: N/A
Total funding: KRW 24B+ (~$16.6M+; Series B disclosed; earlier rounds undisclosed)

Value proposition

Delivers frontier-level AI performance at significantly lower cost through proprietary GDA architecture and full-stack optimization (infrastructure, model architecture, operations), enabling high-performance models to run under constrained compute budgets while matching or exceeding larger proprietary models.

Products and solutions

Motif-3 (314B MoE / 13.2B active), Motif-3-Base, Motif-2-12.7B-Base, Motif-2-12.7B-Instruct, Motif-2-12.7B-Reasoning, Motif-2.6B, Motif-Image-6B, Llama-3-Motif-102B-Instruct, Motif 3 API, Enterprise AX Solutions

Unique value

Only Korean startup with demonstrated experience developing both high-performance large language models (LLMs) and large multimodal models (LMMs) as foundation models. The Motif-2-12.7B-Reasoning model outperformed Alibaba's Qwen 2.5 (72B parameters) in mathematics, science, and logic tasks despite being significantly smaller (12.7B parameters). Open-sourced all models on Hugging Face platform, making advanced Korean-language AI capabilities publicly accessible.

Target customer

Enterprises seeking cost-efficient AI solutions, customer support teams building chatbots, marketing teams requiring branded content generation, AI development teams, startups, and individual creators

Industries served

Artificial Intelligence Infrastructure, Enterprise Software, Customer Support & Service, Marketing & Content Creation, AI Development & Research, Technology & Innovation

Technology advantage

Proprietary Grouped Differential Attention (GDA) architecture that disentangles signal and noise-control attention pathways, improving representational efficiency and enabling robust instruction generalization under constrained compute budgets. Full-stack optimization approach across GPU infrastructure, kernels, runtime, serving, and model architecture—similar to DeepSeek's methodology. Models trained from scratch on AMD Instinct™ MI250 GPUs, demonstrating hardware-agnostic efficiency. Fine-tuning capabilities with small datasets for enterprise customization without requiring large-scale internal data.

How they differentiate

Only Korean startup with demonstrated experience developing both high-performance large language models (LLMs) and large multimodal models (LMMs) as foundation models. Proprietary Grouped Differential Attention (GDA) architecture enables superior reasoning performance at significantly lower computational cost—Motif-2-12.7B-Reasoning outperformed Alibaba Qwen 2.5 (72B parameters) in mathematics, science, and logic tasks despite being 6x smaller. Open-source approach with all models publicly available on Hugging Face platform, combined with full-stack optimization across GPU infrastructure, kernels, runtime, and serving.

Main competitors

Trillion Labs, Upstage, Naver Cloud (HyperCLOVA)

Key partnerships

Samsung C-Lab (Global Partner for Enterprise AX Projects), Microsoft Azure (Cloud Infrastructure and Global Distribution), Samil PwC / Samil Accounting Corporation (Enterprise AI Transformation and Strategy), Korean Government - Independent AI Foundation Model Project (Elite Team Selected Feb 2026), AMD (GPU Infrastructure Partner for Model Training), Hugging Face (Open-Source Model Distribution Platform), Moreh (Parent Company - GPU Infrastructure and Distributed Inference), CrowdWorks (Data Construction for AI Models), Endartright (VLA Synthetic Data for Robotics), Seoul National University, KAIST, Hanyang University (Academic Research Partners)

Notable customers

Samil PwC (Enterprise AI Transformation Partnership)

Major milestones

Founded February 2025 in Seoul as Moreh spin-off, Open-sourced Motif-2.6B and Motif-2-12.7B family (2025); Motif-2-12.7B #1 Korean on AAII, Selected as Dokpamo elite team (Feb 2026); received ~768 Nvidia B200 GPUs, Raised KRW 24B (~$16.6M) Series B (May 2026), Released Motif-3 Beta (Jul 2026) then final Motif-3 314B MoE under MIT on Hugging Face (Aug 2026); AAII 47, Eliminated from Dokpamo 2nd-round evaluation (Aug 2026) despite leading AAII; filed objection; declined round-3 participation, Motif 3 API early access opened (2026), Proprietary GDA/GDLA architecture; full-stack training including AMD MI250

Growth metrics

Raised KRW 24B (~$16.6M) Series B (May 2026). Open-sourced Motif-3 (314B MoE / 13.2B active) Aug 2026 — AAII 47, #1 among Korean models, ~#9 globally / top open-weight tier. Eliminated from Dokpamo 2nd round (Aug 2026) despite best benchmarks (overall score 65.8 vs SKT 70.6 / Upstage 69.9 / LG 69.0); objected and declined further contest participation. ~30 employees. Motif 3 API early access open.

Market positioning

Agile ~30-person Korean foundation-model startup (Moreh spin-off). Released Motif-3 (314B MoE), which scored AAII 47 (#1 Korea, top-tier open-weight globally). Eliminated from Dokpamo (Independent AI Foundation Model) 2nd-round evaluation Aug 2026 despite leading benchmarks; LG AI Research, SK Telecom, and Upstage advanced. Filed objection seeking score transparency; stated it would not join round 3 regardless. Continues commercial Motif-3 API / enterprise AX outside the national contest.

Geographic focus

Primarily South Korea for sovereign AI initiatives and enterprise customers. Selected as elite team in government's Independent AI Foundation Model Project with consortium of 17 organizations. Strategic partnerships with Samsung C-Lab and Microsoft Azure enable potential global distribution. Hugging Face platform provides international accessibility to open-source models. Focused on Korean language and market needs as part of national AI sovereignty strategy, with roadmap expanding to 300B+ parameter models and physical AI (VLA).

Patents and IP

No registered patents publicly disclosed as of February 2026. Core innovations are open-sourced through technical reports and model releases on arXiv and Hugging Face.

About Lim Jung-hwan (임정환)

Director of AI at Moreh; Data Scientist at Samsung Research; Data Scientist at PUBG. Ph.D. in mathematics, University of Oxford; B.S., KAIST.