Trillion Labs
Trillion Labs is a Seoul-based AI research lab that builds specialized foundation models and agentic AI systems for industrial environments, primarily power plants and AI data centers, serving enterprise operators through direct deployment partnerships such as GS Group.
- Company typePrivate
- Founded2024
- HeadquartersSeoul, South Korea
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Trillion Labs does
Trillion Labs is a Seoul-based AI research lab founded in 2024 by former NAVER executive Jay Shin, building specialized foundation models and agentic AI systems for industrial environments, primarily power plants and AI data centers. The company's product portfolio centers on the Gravity series of lightweight STEM-specialized MoE models (16B-A3B, Gravity Nano, Gravity Flash) designed to deliver frontier-class performance in industrial reasoning at sub-frontier compute cost, alongside the Tri series of Korean-language foundation models (7B to 70B parameters) and Trida-7B, Korea's first diffusion-based large language model. Supporting infrastructure includes the proprietary XLDA training technology (reducing learning costs to one-twelfth of standard levels), the rBridge framework for 100x-700x cost reduction in pre-training optimization (published on arXiv 2509.21013 in collaboration with KAIST AI), and PowerBench, an evaluation suite covering Knowledge, Reasoning, and Decision tiers for power plant operations where all current models score 0% on the Decision tier.
The company deploys these capabilities through direct enterprise sales, embedding with strategic industrial partners such as GS Group to develop AI agents that interpret engineering diagrams (P&IDs, logic diagrams, electrical schematics), diagnose equipment issues, and execute end-to-end industrial workflows. Compute infrastructure is accessed primarily through NVIDIA technology partnerships (Inception program, Omniverse, Nemotron, NeMo Curator) and NIPA's national AI computing program (80 H200 GPUs). The company is also competing for selection in South Korea's sovereign AI foundation model project alongside Upstage, LG AI Research Institute, and SK Telecom.
Trillion Labs is venture-backed at the seed stage with $4.2 million raised in August 2024 from Strong Ventures (lead), Kakao Ventures, and other domestic and foreign investors. The business model relies on custom enterprise contracts for industrial AI deployments, with all models and frameworks also distributed open-source via Hugging Face and GitHub as a top-of-funnel developer relations strategy. Pricing is not publicly disclosed, revenue is not yet reported, and the company operates with 1-10 employees from its Gangnam district headquarters in Seoul.
Trillion Labs firmographics
Firmographics- Name
- Trillion Labs
- Legal name
- Trillion Labs
- Website
- https://trillionlabs.co
- Company type
- Private
- Founded year
- 2024
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Trillion Labs is a Seoul-based AI research lab that builds specialized foundation models and agentic AI systems for industrial environments, primarily power plants and AI data centers, serving enterprise operators through direct deployment partnerships such as GS Group.
- Ownership category
- akta.pro rank
Trillion Labs industry classification
Industry- Product category
- Industrial AI Foundation Models
- NAICS
- Computer Systems Design and Related Services (54151)
- SIC
- Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- Foundation Model Developers (LLM/Multimodal Model Labs) (HDAAACAA)
- akta.pro secondary industries
- Prompt Engineering, Orchestration & LLMOps Tooling (HDAAACAD), Model Development & Training Platforms (AutoML, Notebooks, Feature Stores) (HDAEANAB)
Keywords
Where Trillion Labs is headquartered
LocationHeadquarters
- HQ city
- Seoul
- HQ country
- South Korea
- HQ region
- Asia
Offices1 record
Markets served
Trillion Labs business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Infrastructure, Personnel
Revenue model
- Enterprise AI Solutions: Domain-specialized foundation models and AI agents deployed to industrial environments such as power plants and AI data centers. Revenue generated through enterprise contracts with direct engagement model.
Go-to-market motion2 records
Distribution channels1 record
Marketing channels5 records
Trillion Labs product offering
Product offeringCore offering
Trillion Labs develops domain-specialized foundation models and AI agents for industrial environments such as power plants and AI data centers, with a particular focus on the energy infrastructure underlying AI factories. Its product portfolio includes the Gravity series of STEM-specialized reasoning models, the Tri and Trida series of Korean language foundation models, and supporting methodologies like rBridge, delivered via enterprise contracts with energy operators and government sovereign AI initiatives.
Product overview
Trillion Labs is an AI research lab building specialized foundation models and agentic AI systems for industrial environments, particularly power plants and AI data centers. The product portfolio centers on the Gravity series (16B-A3B, Flash, Nano) — STEM-specialized models for industrial reasoning — combined with the Tri series (7B-70B) for Korean language foundation models, and specialized tools like rBridge for efficient model evaluation. The company offers an AI for Energy platform targeting power plant operations, which includes PowerBench for evaluation and specialized agents for end-to-end industrial tasks. All products are designed around the company's mission of recursive self-improving AI infrastructure for AI factories.
Differentiator
Problem solved
Functional benefit
Brands
- Gravity: Foundation model series for STEM and agentic tasks, including Gravity Nano (16B-A3B)
- Tri
- Trida
- rBridge
- gWorld
Products and services
- AI for Energy Industrial AI platform comprising AI agents and foundation models specifically designed for power plant operations, including interpretation of engineering diagrams, operational data analysis, equipment relationship reasoning, and end-to-end maintenance procedure execution for energy operators.
- Gravity-16B-A3B Lightweight STEM-specialized MoE foundation model for power plant operations. Achieves state-of-the-art performance in the power plant domain with significantly lower training cost, demonstrating that frontier-class industrial capability does not require frontier-scale compute.
- Gravity Nano (16B-A3B-Preview) Pareto-frontier reasoning foundation model for STEM and agentic tasks using a new Mixture of Experts (MoE) series trained from scratch.
- Gravity Flash Specialized model designed to deliver frontier-class performance at sub-frontier cost for power plant domain applications; first internal PowerBench results expected in Q3 2026.
- Tri Series (7B to 70B) First generation of open Korean foundation models with 7B, 21B, and 70B parameter versions trained from scratch for Korean language understanding and generation.
- Trida-7B Korea's first diffusion-based large language model using parallel generation architecture for faster inference and computational efficiency, built using 80 NVIDIA H200 GPUs through NIPA's national AI computing infrastructure.
- Tree-70B Open-source 70B parameter foundation model developed as part of South Korea's national AI foundation model project competition.
- gWorld-32B Mobile world model for enabling AI systems to understand, simulate, and optimize complex industrial environments.
- rBridge Methodology enabling tiny proxy models (≤1B parameters) to reliably predict the reasoning performance of much larger models (13× to 32× larger), reducing pre-training data and hyperparameter optimization costs by over 100× to 700×.
Quantifiable outcome
- Training time reduced from 24 hours on CPU to 3.4 hours using 8x H100 GPUs for 1.7 trillion tokens
- +5 more outcomes
Companies that use Trillion Labs
Customer profileNamed customers1 record
Segments3 records
Ideal customer profiles3 records
Trillion Labs technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability10 records
Feature9 records
Trillion Labs partnerships and signals
Strategic signalPartnerships
Three partnerships are on record, tiered core and minor.
- NVIDIAcoreActive partnership through NVIDIA Inception program. Using NVIDIA Omniverse libraries and NVIDIA Nemotron open models for Industrial World Models development. Access to H100 and H200 GPU infrastructure through NIPA's national AI computing infrastructure. Deployed NVIDIA NeMo Curator for GPU-accelerated data curation.
- GS GroupcoreCollaborating on critical energy infrastructure including power plants as part of Industrial World Models for AI Factories initiative. GS Group hosted technology cooperation event with Trillion Labs among 17 AI startups in their investment portfolio, focusing on physical AI and robotics integration into energy plants, construction sites, and distribution logistics centers.
- KAIST AIminorAcademic collaboration on AI research with co-authorship on the rBridge paper. Authors include Woosung Koh, Juyoung Suk, Sungjun Han, Se-Young Yun from Trillion Labs and KAIST AI.
Scale indicators3 records
Recent moves6 records
Expansion highlights6 records
Trillion Labs competitors and assessment
Company assessmentDirect peers
- Upstage: Seoul-based foundation model startup also competing in Korea's sovereign AI national representative selection with Solar LLM family. Direct head-to-head competitor for Korean enterprise/government foundation model mandates, with overlapping GTM in chaebol accounts.
- Mistral AI: European open-source foundation model developer with comparable approach: releasing competitive open-weight models (7B-70B+) while pursuing enterprise GTM. Closely comparable on open-source distribution strategy, model sizing philosophy, and enterprise foundation model positioning.
- Cohere: Enterprise-focused foundation model company building specialized models for business use cases with secure deployment and customization. Comparable on enterprise foundation model positioning, B2B sales motion, and emphasis on private/customized deployments over consumer chat.
- Sakana AI: Japan-based foundation model lab focused on efficient, smaller-parameter models for non-English languages and specialized domains. Closely comparable on philosophy of frontier-class performance at sub-frontier scale, and on East Asian sovereign AI positioning adjacent to Korea.
Broad incumbents
- Naver Cloud (HyperCLOVA X): Naver's flagship foundation model developed by former employer of Trillion Labs' founder Jay Shin. Competing in the same Korean sovereign AI race with materially larger resources, and serves as the incumbent Trillion Labs is positioning to displace for Korean-language enterprise AI.
- LG AI Research (EXAONE): LG Group's foundation model lab developing EXAONE, a major competitor in Korea's national sovereign AI selection. Backed by LG conglomerate resources and serves as one of the four named competitors for the Korean representative AI designation.
- SK Telecom (A.X / Sovereign LLM): SK Telecom's sovereign AI initiative with Korean-language foundation models, one of the named competitors alongside Upstage, LG AI Research, and Trillion Labs for Korea's national AI representative status. Brings telco distribution and capital scale.
- Anthropic: Frontier AI lab whose Claude Opus model is the explicit benchmark Trillion Labs compares Gravity-16B-A3B against in PowerBench. Represents the generic-frontier-model competitive threat that Trillion Labs' domain specialization is positioned to outmaneuver in industrial verticals.
Emerging players
- Adept AI: AI agent company building models that execute end-to-end enterprise workflows, similar to Trillion Labs' positioning of Gravity as an agent that executes full industrial operations tasks (diagnosis, work plans, procedure execution). Comparable on agentic AI for complex enterprise workflows.
Others
- NVIDIA (Nemotron): Technology partner through the NVIDIA Inception program and source of the Nemotron open models and Omniverse libraries Trillion Labs builds on. Functions simultaneously as critical infrastructure provider and adjacent competitor with its own domain-specialized open models.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Trillion Labs social profiles
Digital presenceTrillion Labs financial estimates
Financial estimateRevenue estimate
Valuation estimate
Trillion Labs leadership team
Management profileNumber of profiles
Profiles3 records
Trillion Labs funding detail
Funding detailFunding overview
Funding rounds2 records
Investors7 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Trillion Labs M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Trillion Labs
What does Trillion Labs do?
Trillion Labs develops domain-specialized foundation models and AI agents for industrial environments such as power plants and AI data centers, with a particular focus on the energy infrastructure underlying AI factories. Its product portfolio includes the Gravity series of STEM-specialized reasoning models, the Tri and Trida series of Korean language foundation models, and supporting methodologies like rBridge, delivered via enterprise contracts with energy operators and government sovereign AI initiatives.
Is Trillion Labs a public or private company?
Trillion Labs is a private company. It is classified as venture growth investor backed and is currently operating.
When was Trillion Labs founded?
Trillion Labs was founded in 2024. It employs 1 to 10 people.
Where is Trillion Labs based?
Trillion Labs is headquartered in Seoul, South Korea, in the Asia region.
How does Trillion Labs make money?
One revenue line is on record: enterprise AI Solutions.
Who are Trillion Labs's main competitors?
Direct peers on record are Upstage, Mistral AI, Cohere and Sakana AI. Broad incumbents are Naver Cloud (HyperCLOVA X), LG AI Research (EXAONE), SK Telecom (A.X / Sovereign LLM) and Anthropic. Adept AI is listed as an emerging player. NVIDIA (Nemotron) is listed as an others.
Does Trillion Labs have an API?
No public API is recorded for Trillion Labs.
What industry is Trillion Labs in?
Trillion Labs's product category is Industrial AI Foundation Models. Its primary akta.pro industry code is HDAAACAA, Foundation Model Developers (LLM/Multimodal Model Labs), with a secondary code of HDAAACAD, Prompt Engineering, Orchestration & LLMOps Tooling. Its NAICS code is 54151 and its SIC code is 7373.