UPSTAGE

About Upstage

Korean AI company specializing in document AI and enterprise LLM solutions. Provides OCR, document understanding, and language models.

Recent News about Upstage

• AI big three slash model release cycles to about 50 days, says AJU

  On May 5, 2026, South Korea’s AJU PRESS reported that Google, OpenAI and Anthropic have compressed their average major model release cadence to roughly 50 days over the last six months. The analysis warns that this acceleration raises competitive barriers for Korean foundation‑model efforts despite new public funds.

  Source: AJU PRESS2026-05-05T08:00:00.000Z

• Upstage secures ₩560B sovereign AI investment from Korea fund

  On May 3, 2026, South Korea’s National Growth Fund approved a direct equity investment of about 560 billion won (~$381 million) into AI startup Upstage. The funding will support Upstage’s Korean-language foundation models and a broader sovereign AI initiative, alongside related investments in a national AI computing center and strategic industries.

  Source: Betanews2026-05-03T11:22:49.000Z

• Sionic AI CEO apologises for unproven plagiarism claim against Upstage model

  On Jan. 4, 2026, KoreaTechDesk reported that Sionic AI CEO Ko Suk-hyun issued a public apology to Korean startup Upstage, retracting earlier claims that its Solar Open 100B model copied China’s ZhipuAI GLM‑4.5‑Air. Ko acknowledged that relying solely on LayerNorm cosine similarity was insufficient to allege model weight reuse.([koreatechdesk.com](https://koreatechdesk.com/korea-upstage-controversy-sionic-ai-ceo-apology))

  Source: KoreaTechDesk2026-01-04T06:06:40.713Z

• Study finds Korean LLMs trail global rivals even on home‑turf exam math

  Korea JoongAng Daily reports that a Sogang University research team tested five Korean large language models against leading US and Chinese models on College Scholastic Ability Test (CSAT) questions and advanced essay‑style math problems, finding a stark performance gap. Foreign models like GPT‑5.1, Gemini 3 Pro Preview, Claude Opus 4.5, Grok 4.1 Fast and DeepSeek V3.2 scored between 76 and 92 points, while domestic systems such as Upstage’s Solar Pro‑2, LG AI Research’s Exaone 4.0.1, Naver’s HCX‑007, SK Telecom’s A.X 4.0 and NCSoft’s Llama Varco 8B mostly landed in the 20‑point range, with the weakest model scoring just 2 points. Even when models were allowed to use Python tools and given multiple attempts on a separate EntropyMath benchmark, non‑Korean systems still dominated, suggesting that Korea’s sovereign‑AI push has not yet closed the reasoning gap with frontier models. The authors say they plan to build an international math leaderboard and update tests as newer model versions arrive, but the results reinforce concerns that language‑localized LLMs can lag badly on deeper problem‑solving unless they match global players in both data and algorithmic sophistication.

  Source: Korea JoongAng Daily2025-12-15T05:11:00.000Z