# VESSL AI

> VESSL AI is an MLOps and GPU-cloud company that helps AI teams train, deploy, and scale machine learning models without wrestling with infrastructure. Its platform pools GPU capacity across on-premise clusters and multiple cloud providers, automatically routing workloads to the cheapest available resources - a hybrid, multi-cloud approach the company says can cut GPU spend by up to 80%. Founded in 2020 by ex-Google and PUBG engineers and split between Seoul and the San Francisco Bay Area, VESSL serves roughly 50 enterprise customers and 2,000-plus users, and has expanded into AI-agent tooling with its open-source Hyperpocket project.

- **Founded:** 2020
- **Headquarters:** San Mateo, California, United States (with an office in Seoul, South Korea)
- **Founders:** Jaeman Kuss An (Co-founder & CEO), Jihwan Jay Chun (Co-founder & CTO), Intae Ryoo (Co-founder & CPO), Yongseon Sean Lee (Co-founder & Tech Lead)
- **Team size:** ~35-56 employees, split between Seoul and the San Francisco Bay Area (roughly two-thirds engineers)
- **Products:** VESSL Run, VESSL Serve, VESSL Pipelines, VESSL Cluster, VESSL Hub
- **Notable:** Raised $12M Series A in October 2024, bringing total funding to about $16.8M., Top-5 finalist presenter in the NVIDIA Inception Startup Grand Challenge 2025., Grew to roughly 50 enterprise customers and 2,000+ users.

## Products & services

- **VESSL Run** — The atomic unit of the platform - a single Kubernetes-backed AI workload that automates model training and experimentation.
- **VESSL Serve** — Real-time model deployment and serving with traffic splitting, auto-scaling, and auto-failover.
- **VESSL Pipelines** — Orchestrates complex ML workflows such as LLM fine-tuning, data preprocessing, and batch inference.
- **VESSL Cluster** — Manages and optimizes GPU resource usage across hybrid on-premise and multi-cloud environments.
- **VESSL Hub** — One-click recipes for deploying popular open-source models like Llama, Mistral, and Stable Diffusion.
- **Hyperpocket** — Open-source platform that lets AI agents integrate user-created tools into any agent-building framework.

## Achievements

- Raised $12M Series A in October 2024, bringing total funding to about $16.8M.
- Top-5 finalist presenter in the NVIDIA Inception Startup Grand Challenge 2025.
- Grew to roughly 50 enterprise customers and 2,000+ users.
- Launched the open-source Hyperpocket platform for AI agents (2025).
- Showcased MLOps-based AI agents at CES 2025, drawing interest from global big-tech firms.
- Unveiled Hyperpocket at Llama Lounge 16 to an audience including Google DeepMind, IBM, and NVIDIA representatives.

## Latest updates

- **2025-01** — Launched open-source Hyperpocket platform and showcased MLOps-based AI agents at CES 2025.
- **2025-01** — Named a top-5 finalist in the NVIDIA Inception Startup Grand Challenge 2025.
- **2024-10** — Closed $12M Series A to accelerate infrastructure for custom LLMs and vertical AI agents.
- **2024-08** — Announced plans to grow US revenue to about 50% of sales, expanding its San Francisco Bay Area presence.

## Links

- Website: https://vessl.ai
- LinkedIn: https://www.linkedin.com/company/vesslai
- Twitter/X: https://twitter.com/vesslai
- GitHub: https://github.com/vessl-ai
- YouTube: https://www.youtube.com/channel/UCPCXK0wXfBWSEmMW2yEbt5w
- Facebook: https://facebook.com/vessl.mlops

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Profile page: https://yespress.io/vessl-ai
Published by YesPress — https://yespress.io
Last updated: 2026-07-10