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
- Backers4
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- 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.
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