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Trillion Labs

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Trillion Labs develops specialized foundation models designed to build and operate the physical infrastructure — energy, chips, and facilities — of AI factories that train AI. The models are aimed at automating and improving the operation of AI data center infrastructure.

Also known as Trillion Labs · TrillionLabs · 트릴리온랩스

Founders & leadership

JS
Jaemin Shin Juneyoung ParkFounder
JS
Jay ShinFounder

Investors · 8

Also in the syndicate · 3

더벤처스 (The Ventures)베이스인베스트먼트 (Base Investment)스트롱벤처스 (Strong Ventures)lead

Company profile

researched Aug 2026

Trillion Labs is a Seoul-based foundation-model company building specialized models for the physical layer that AI systems run on — energy, chips and data-center infrastructure, which it frames as "AI factories." Its stated mission is recursively self-improving AI infrastructure, in which models operate and improve the facilities that train subsequent generations of models.

The company's research portfolio spans several model families. The Tri series (roughly 0.5B to 70B parameters) comprises open Korean foundation models trained from scratch and represents its first generation. Gravity is a newer mixture-of-experts series, including Gravity Nano (16B-A3B), aimed at STEM reasoning and agentic tasks. rBridge is a methodology for predicting frontier reasoning performance from a small proxy model. Additional work covers vision-language models, a diffusion LLM, gWorld mobile GUI world models (8B and 32B), and Industrial World Models targeted at AI factories and energy plants.

Applied products include AI agents and models for energy plants, with industrial deployments developed on the NVIDIA stack using Omniverse simulation and Nemotron reasoning.

Business model

Trillion Labs develops foundation models in-house and releases part of its model lineup openly (the Tri series, Gravity MoE models and gWorld models are distributed publicly, including via Hugging Face), while positioning industrial world models and AI-factory/energy applications toward enterprise, infrastructure and public-sector buyers.

Traction

The full Tri lineup (7B/21B/70B) has been open-sourced, and Gravity MoE and gWorld models are published on Hugging Face. Tri 21B Think was reported in the global top 30 on the Artificial Analysis leaderboard. Reported headcount is approximately 25-28 (team size band 11-50), with named collaborations including NVIDIA, AWS, Naver Cloud and GS Group, plus undisclosed enterprise industrial proofs of concept and government AI initiatives.

Latest developments

The company announced its Gravity model series, including Gravity Nano (16B-A3B), a from-scratch mixture-of-experts line for STEM and agentic reasoning. In June 2026 it announced Industrial World Models built with NVIDIA Omniverse and Nemotron. Its gWorld mobile GUI world model paper was accepted to ICML 2026, and Tri 21B Think — a 21-billion-parameter model using reinforcement learning and test-time scaling — was reported to have entered the global top 30 on the Artificial Analysis leaderboard. The company is hiring across AI research, infrastructure engineering, business development and finance operations.

▸Full profile — market position, technology, go-to-market, geography, history

Market position

Positioned as a foundation-model lab for industrial intelligence and AI factories, based in Korea with a global industrial go-to-market, using sovereign open Korean LLMs as its first generation. Named competitors include Upstage, Naver Cloud (HyperCLOVA X) and 42Maru.

Trillion Labs trains foundation models from scratch and releases them openly (the Tri series), and extends beyond language modeling into industrial world models intended to make AI factories and energy plants optimizable systems rather than serving only Korean-language LLM or general chat use cases. It also cites proprietary methodology in rBridge and its data-synthesis pipelines.

Technology

Full-stack foundation models trained from scratch, including LLMs, vision-language models, a diffusion LLM, mixture-of-experts architectures (Gravity, e.g. 16B-A3B) and world models (gWorld GUI world models at 8B and 32B; Industrial World Models). The rBridge method predicts frontier reasoning capability from a small proxy model to improve training efficiency. Industrial deployments are integrated with NVIDIA Omniverse simulation and Nemotron reasoning. The company also cites proprietary data synthesis pipelines.

Go-to-market

The company pairs open model releases and published research (Hugging Face distribution, ICML 2026 acceptance, Artificial Analysis leaderboard placement) with partnerships and accelerator programs — NVIDIA Inception, the AWS Generative AI Accelerator, Naver Cloud, and an energy-infrastructure collaboration with GS Group — alongside enterprise industrial proofs of concept and government sovereign-AI initiatives.

AI factory and data center operators, energy and industrial infrastructure companies, government sovereign-AI programs, and enterprises requiring Korean foundation models.

Geography

Headquartered in Seoul, South Korea, with stated market focus on South Korea, Japan and Southeast Asia and a global industrial go-to-market orientation.

History

The company was founded in 2024 in Seoul and first built the Tri series of open Korean foundation models spanning roughly 0.5B to 70B parameters. It was selected for the AWS Generative AI Accelerator and joined NVIDIA Inception. Subsequent work extended from language models to reasoning-efficiency methodology (rBridge), gWorld mobile GUI world models accepted at ICML 2026, Gravity MoE models released in 2026, and Industrial World Models announced with NVIDIA in June 2026.

Compiled by commissioned research from 11 cited public sources — announcements, filings, and press listed under research sources below.

Key figures

latest reported
Artificial Analysis leaderboard ranking (Tri 21B Think)Feb 2026글로벌 톱30 내 등재
Cumulative funding raisedJul 2025$6B
Employee countJan 202628 employees
EmployeesJun 202628 people
GWorld rendering failure rateFeb 20261%
HeadcountAug 202621
Open rolesJan 20266 job openings
RevenueJul 20250 KRW
Total fundingSep 2024$4.2M
Trida-7B ko gsm8k scoreJan 202661.3
Trida-7B koifeval scoreJan 202653.4

Company-reported or press-reported figures, each dated to when it was claimed — not independently audited.

Timeline · 15

launches, deals, and filings
Jul 2026
모바일 디지털트윈 월드모델 '지월드' 논문 ICML 2026 메인 트랙 채택

모바일 GUI를 디지털 트윈으로 구현한 월드모델 gWorld 관련 논문이 머신러닝 학술대회 ICML 2026 메인 트랙에 채택됐다.

source ↗

Jun 2026
엔비디아 기술 기반 AI 팩토리용 산업 월드모델 개발 착수

엔비디아 옴니버스 라이브러리와 네모트론 오픈 모델을 기반으로 AI 데이터센터·발전소 등 산업 인프라 운영을 최적화하는 산업 월드모델 개발에 착수했다.

source ↗

Jun 2026
Industrial World Models built with NVIDIA Omniverse and Nemotron

Announced Industrial World Models for AI factories and energy infrastructure developed on the NVIDIA stack, integrating Omniverse simulation and Nemotron reasoning; the company is also an NVIDIA Inception member.

source ↗

Feb 2026
'Tri 21B Think' 추론 모델 공개

Tri 21B에 강화학습을 적용해 사고 과정을 고도화한 모델로, 백트래킹과 테스트 타임 스케일링을 구현했으며 아티피셜 애널리시스 리더보드 글로벌 톱30에 등재됐다.

source ↗

Feb 2026
모바일 월드모델 'gWorld-32B' 공개

사용자의 터치 입력을 바탕으로 다음 화면 상태를 실행 가능한 웹 코드(HTML·CSS)로 예측·재현하는 모바일 월드모델.

source ↗

Jan 2026
확산 기반 트랜스포머 LLM 'Trida-7B' 개발

국내 최초로 확산 기반 트랜스포머 아키텍처를 적용한 대규모 언어모델로, 모델 가중치와 추론 코드를 오픈소스로 공개할 계획을 밝혔다.

source ↗

Jan 2026
gWorld paper accepted at ICML 2026

Research on gWorld mobile GUI world models (8B/32B) accepted to ICML 2026 and published on Hugging Face.

source ↗

Jan 2026
Tri 21B Think enters global top 30 on Artificial Analysis leaderboard

A 21-billion-parameter model using reinforcement learning and test-time scaling placed in the global top 30 of the Artificial Analysis leaderboard.

source ↗

Jan 2026
Energy infrastructure collaboration with GS Group

Collaboration applying the company's models to energy infrastructure.

source ↗

Jan 2026
Release of Gravity MoE model series (Gravity Nano, 16B-A3B)

Trillion Labs announced its Gravity model line, a mixture-of-experts series trained from scratch and positioned for STEM reasoning and agentic tasks, including Gravity Nano (16B-A3B).

source ↗

Jan 2026
Gravity 모델 시리즈 공개

회사 웹사이트가 새 Gravity 모델을 소개하고 있으며, Gravity Nano(16B-A3B)는 STEM·에이전틱 과제를 겨냥해 처음부터 학습된 MoE 계열 추론 모델이다.

source ↗

Mar 2025
엔비디아 GTC 2025에서 한국어 파운데이션 모델 '트릴리온 7B' 발표

70억 파라미터 규모의 한국어 파운데이션 모델을 미국 캘리포니아에서 열린 엔비디아 행사에서 발표했으며, 소스 코드를 무료 공개했다.

source ↗

Feb 2025
프리시드 420만 달러(약 57억 원) 투자 유치

스트롱벤처스 리드로 카카오벤처스, 베이스인베스트먼트, 더벤처스, Goodwater Capital, BAM Ventures가 참여한 프리시드 라운드.

$4.2M source ↗

Jan 2024
Selected for AWS Generative AI Accelerator

source ↗

Jan 2024
Open-sourced Tri series Korean foundation models

Released the Tri family of open Korean foundation models trained from scratch, spanning roughly 0.5B to 70B parameters, including Tri-70B.

source ↗

Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.

▸Research sources · 11

primary sources listed

11 public sources were cited for this profile; the first-party ones are listed here.

Frequently asked questions

What does Trillion Labs do?
Seoul-based lab building foundation and world models that operate AI-factory infrastructure — energy, chips and facilities.
Who are Trillion Labs's investors?
Trillion Labs's investors include BAM Ventures, Kakao Ventures, The Ventures Co, Goodwater Capital, TheVentures.