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WIGTN
An AI company in Korea: we build AI into enterprise systems, ship open-source tools, and publish research.
WIGTN works in three teams. Solutions takes AI transformation (AX) for enterprises from consulting to the systems that run it. Product ships the open-source tools we build and use ourselves. Research publishes peer-reviewed work on LLMs, their evaluation, and speech. The repositories below are the code behind that work.
Document parser distilled from a 30B into a 2B vision-language model. The teacher writes Markdown for 4,501 pages, the judge keeps the pages that score 3 or higher, and the student is LoRA fine-tuned on 2,667 of them. WigtnOCR-2B matches or beats its teacher on 3 of 5 OmniDocBench metrics, with Table TEDS 0.649 against 0.523
Real-time Korean–English speech translation over ordinary phone calls, built on the OpenAI Realtime API and Twilio Media Streams. 555 ms median caller-to-callee latency at USD 0.28/min, 430+ tests
Chooses document parsers by retrieval on a fixed question–answer probe, and separates parser-side from chunker-side loss. It evaluates WigtnOCR-2B as its production parser