VESSL AI, founded in 2020 by Jaeman Kuss An (CEO), Jihwan Jay Chun (CTO), Intae Ryoo (CPO), and Yongseon Sean Lee, provides an end-to-end MLOps and LLMOps platform for companies building custom large language models and vertical AI agents. Its core advantage is cost efficiency: a multi-cloud strategy combined with spot instances and intelligent orchestration that the company says reduces GPU expenses by up to 80 percent. VESSL supports training, fine-tuning, and model serving, and counts roughly 50 enterprise customers including Hyundai, LIG Nex1, TMAP Mobility, Yanolja, Upstage, ScatterLab, and Wrtn. With teams in South Korea and a San Mateo office in the U.S., the company raised a $12M Series A in October 2024 from investors including A Ventures, Ubiquoss Investment, Mirae Asset Securities, Sirius Investment, SJ Investment Partners, Wooshin Venture Investment, and Shinhan Venture Investment, bringing total funding to $16.8M.
VESSL AI
ActiveMLOps platform that cuts GPU costs by up to 80%
Total raised
$12M
1 round
Stage
Series A
Team
11-50
since 2020
Pricing
Freemium
free plan
Founded
2020
Seoul, South Korea
Agent-ready
API
Score 55/100
Multi-cloud GPU orchestration
Spot instance cost optimization
Model training and fine-tuning
Model serving and inference
LLMOps for custom LLMs
Vertical AI agent infrastructure
Hybrid cloud deployment
Experiment and pipeline management
55/100
Developing
MCP server
Public API
Webhooks
OAuth 2.0
SDKs
— Series A $12M incl. A Ventures +3
Capital network
$16.8M raised ·4 backers·4 network links
- Backers4
- Shared portfoliocompanies these backers also fund
- Extended networkfunds that co-invest alongside them
Nebius
Full-stack AI cloud with large-scale GPU clusters for training and inference
Foundation ModelsAI Infrastructure
Celestial AI
Photonic Fabric optical interconnect for AI infrastructure
AI Infrastructure
d-Matrix
Digital in-memory compute (DIMC) chiplet-based hardware purpose-built for AI inference in the
AI Infrastructure
Chainguard
Secure, minimal container images for software and AI supply chains
AI InfrastructureAI for Cyber Defense
Alcatraz AI
AI facial authentication that replaces the access badge with your face
AI InfrastructureAI for Cyber Defense
Zilliz
Fully managed vector database for AI, built by the creators of Milvus
AI InfrastructureVector Databases
- How does VESSL cut GPU costs?
- It uses a multi-cloud strategy with spot instances and orchestration that the company says reduces GPU expenses by up to 80%.
- What can I do with VESSL AI?
- You can train, fine-tune, and serve custom models and LLMs across multiple clouds in one platform.
- How much has VESSL AI raised?
- VESSL AI raised a $12M Series A in October 2024, bringing total funding to $16.8M.
- Who uses VESSL AI?
- Customers include Hyundai, LIG Nex1, TMAP Mobility, Yanolja, Upstage, and Wrtn.
Discussion
Sign in to join the discussion.
Sign inExplore more around VESSL AI
Contextual paths to related AI startups, deals and rankings.