VESSL AI
VESSL AI is a Seoul- and San Francisco-based neocloud company operating VESSL Cloud, a GPU-as-a-Service platform providing on-demand and reserved NVIDIA GPU access (A100 through B300) with multi-cloud orchestration, targeting AI startups, Korean conglomerates, government, and academic researchers.
- Company typePrivate
- Founded2020
- HeadquartersSan Francisco, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What VESSL AI does
VESSL AI is a Seoul-headquartered neocloud company that operates VESSL Cloud, a GPU-as-a-Service platform providing on-demand access to NVIDIA A100, H100, H200, B200, GB200, and B300 GPUs across Spot, On-Demand, and Reserved tiers. The platform functions as a multi-cloud orchestration and failover layer aggregating capacity from Lambda, CoreWeave, Crusoe, Nebius, and hyperscalers, with productized features including VM Clusters (multi-node InfiniBand-backed dedicated clusters on 4-52 week contracts), Batch Jobs for non-interactive training, Workspaces for interactive JupyterLab/SSH development, Cluster/Object storage with CephFS and S3 backends, Secrets Management with client-side sealing, and the vesslctl CLI with native MCP integration.
The company sells primarily through a self-serve PLG motion on cloud.vessl.ai, overlaid by enterprise field sales in Seoul and San Francisco targeting Korean conglomerates (Hyundai, LG, Samsung, KT, LIG Nex1, Hanwha Life, GS Retail, Yanolja, Tmap Mobility), and through cloud-partner channels (Oracle, Google Cloud, AWS). Pricing is usage-based for Spot and On-Demand workloads and subscription-based for Reserved instances and VMaaS contracts, with separate storage and secrets monetization. Adjacent products include the open-source Hyperpocket framework for AI agent tool-calling and a Grid-Aware MLOps workflow co-developed with PADO AI (LG NOVA-backed) for energy-driven workload orchestration.
VESSL AI was founded in 2020 by Jaeman An (CEO), Intae Ryoo (CPO), Jihwan Chun (CTO), and Yongseon Lee (Tech Lead). As of 2026 the company operates with 11-50 employees across Seoul and San Francisco offices, has raised $16M+ in total funding including a $12M Series A in October 2024, reports 3.4x year-over-year revenue growth, and serves 100+ customers spanning enterprise, startups, academia, and government. The company was recognized as a World Economic Forum Technology Pioneer 2026 and holds ISO 27001/27017/27018/27701 and SOC 2 Type II attestations.
VESSL AI firmographics
Firmographics- Name
- VESSL AI
- Legal name
- VESSL AI, Inc.
- Website
- https://vessl.ai
- Company type
- Private
- Founded year
- 2020
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- VESSL AI is a Seoul- and San Francisco-based neocloud company operating VESSL Cloud, a GPU-as-a-Service platform providing on-demand and reserved NVIDIA GPU access (A100 through B300) with multi-cloud orchestration, targeting AI startups, Korean conglomerates, government, and academic researchers.
- Ownership category
- akta.pro rank
VESSL AI industry classification
Industry- Product category
- GPU Cloud Infrastructure
- NAICS
- Custom Computer Programming Services (541511), Computer Systems Design and Related Services (54151), Computer Systems Design and Related Services (5415)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming Services (7371), Services-Computer Integrated Systems Design (7373), Services-Computer Rental & Leasing (7377)
- akta.pro primary industry
- AI Compute Cloud & GPU-as-a-Service (HDAAAAAK)
- akta.pro secondary industries
- GPU/Accelerator Compute Servers (HDABADAC), AI Accelerators (GPUs/TPUs/NPUs/ASICs) (HDAAAAAA)
Keywords
Where VESSL AI is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
VESSL AI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Infrastructure, Personnel, Marketing or Sales, Operations
Revenue model
- GPU Compute (GPUaaS): Usage-based revenue from GPU compute resources. Users pay for Spot (lowest cost, best-effort), On-Demand (reliable with failover, pay-as-you-go), or Reserved (guaranteed capacity with volume discounts) instances. Billed hourly with pricing varying by GPU type (A100, H100, H200, B200, GB200, B300), region, and count.
- VM Clusters (VMaaS): Dedicated multi-node GPU cluster rentals with contracts ranging from 4-52 weeks. Provides full root access with InfiniBand and NFS storage. Premium pricing for guaranteed, dedicated capacity.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Usage-based | Pay-as-you-go | Spot - Best-effort, lowest cost GPU instances |
| Usage-based | Pay-as-you-go | On-Demand - Reliable with automatic failover |
| Subscription | Multi-year contract | Reserved - Guaranteed capacity with volume discounts |
Go-to-market motion4 records
Distribution channels5 records
Marketing channels12 records
VESSL AI product offering
Product offeringCore offering
VESSL AI operates VESSL Cloud, a GPU-as-a-Service neocloud platform providing on-demand access to NVIDIA GPUs (A100, H100, H200, B200, GB200, B300) with multi-cloud orchestration, automatic failover, and unified billing. It sells GPU compute via Spot, On-Demand, and Reserved tiers, plus dedicated multi-node VM Clusters with InfiniBand interconnect for distributed training. Supporting capabilities include interactive Workspaces, Batch Jobs, Cluster/Object Storage, Secrets Management, and the vesslctl CLI for programmatic access.
Product overview
VESSL AI operates as a unified AI infrastructure platform combining VESSL Cloud (GPU cloud service) and orchestration capabilities to serve AI teams across enterprise, startup, research, and academia segments. The core platform centers on GPU compute access via VESSL Cloud with multiple product tiers: On-Demand/Reserved/Spot GPU instances (A100 to B300), VM Clusters for dedicated bare-metal performance (VMaaS), Batch Jobs for automated non-interactive training, and Workspaces for interactive development. Storage is addressed through Cluster Storage (CephFS/NVMe, cluster-bound) and Object Storage (S3-backed, cross-cluster). Supporting infrastructure includes Secrets Management (encrypted credentials), vesslctl CLI (with MCP integration), and the open-source Hyperpocket framework for AI agent tool-calling. The platform's differentiation lies in multi-cloud GPU orchestration, cost optimization (up to 80% savings), and energy-aware MLOps via PADO AI partnership.
Differentiator
Problem solved
Functional benefit
Brands
- Hyperpocket: Open-source project for AI agent tool integration, enabling developers to build, share, and integrate external functions into AI agents with support for token-based authentication and OAuth2.
Products and services
- VESSL Cloud Unified GPU cloud platform providing on-demand GPU access (A100, H100, H200, B200, GB200, B300) with persistent storage, multi-cloud orchestration, and enterprise-grade reliability. Offers Spot, On-Demand, and Reserved capacity tiers with automatic failover, centralized GPU monitoring, and cost optimization features including Smart Pausing and energy-aware MLOps.
- VM Clusters (VMaaS) Dedicated multi-node GPU cluster rental service (Beta) providing 1-8 nodes with 8 GPUs each, full root access, InfiniBand interconnect, and NFS shared storage. Delivers near bare-metal performance with self-service ordering for H100 clusters and managed procurement for larger configurations (9+ nodes or B200/GB200/B300/GB300). Contracts range from 4 to 52 weeks.
- Hyperpocket Open-source AI agent framework enabling tool-calling capabilities for AI agents. Supports token-based and OAuth2 authentication, seamless external function integration, and rapid tool development with delivery times under one hour. Built and maintained by VESSL AI with community contributions at hackathons.
Quantifiable outcome
- Up to 80% reduction in cloud GPU costs compared to hyperscalers
- +7 more outcomes
Companies that use VESSL AI
Customer profileNamed customers18 records
Segments5 records
Ideal customer profiles4 records
VESSL AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration4 records
AI capability10 records
Feature11 records
VESSL AI partnerships and signals
Strategic signalPartnerships
Nine partnerships are on record, tiered strategic, major and core.
- RebellionsstrategicSouth Korean AI semiconductor company Rebellions signed MOU with VESSL AI to build cloud infrastructure using domestically developed neural processing units (NPUs). Partnership combines Rebellions' NPU hardware with VESSL AI's orchestration platform targeting physical AI workloads in robotics and smart manufacturing. Early-stage effort to validate Korean AI hardware and infrastructure platforms operating together, with POC demonstrations planned before broader commercial deployment. Targets Korea's public sector and overseas markets in Middle East and Southeast Asia.
- PADO AIstrategicPADO AI, an energy orchestration platform backed by LG NOVA, partnered with VESSL to develop the industry's first energy-oriented MLOps workflow enabling automated AI workload orchestration tied to energy economics and renewable availability. Solution allows data centers and hyperscalers to shift GPU workloads to lower-cost, renewable-abundant energy windows while generating revenue through demand response and energy arbitrage. Addresses $61B global data center investment constraints driven by AI demand.
- Hyperpocket (VESSL AI Open Source)majorHyperpocket is VESSL AI's open-source project enabling seamless integration of external functions (tool-calling) into AI agents. Hosts hackathons like Agentic AI Hack Night and supports developer community. Tools function as action layer for AI agents connecting with external systems, APIs, and logic.
- NVIDIAcoreNVIDIA serves as the primary GPU technology provider for VESSL Cloud, offering access to the full GPU lineup including A100, H100, H200, B200, GB200, and B300. VESSL AI participated in NVIDIA GTC 2026 as their first global exhibition, showcasing GPU cloud platform for Physical AI workloads. The relationship extends to strategic discussions around Physical AI era development.
- Hyundai MotorcoreHyundai Motor is a key enterprise customer using VESSL AI infrastructure for autonomous driving AI development. Collaboration supports Hyundai's AI initiatives including robotics and smart manufacturing, with VESSL providing GPU optimization and multi-cloud infrastructure.
- LG ElectronicsmajorLG Electronics collaborates with VESSL AI on AI infrastructure solutions as part of the Series A announcement. Partnership includes support for LG's AI development initiatives.
- OraclemajorOracle Cloud Infrastructure (OCI) partnership with completed integration. VESSL AI participates as Oracle partner at Oracle CloudWorld events and offers platform access as an Oracle partner solution. Co-hosted exclusive meet-up with ORACLE and NVIDIA at La Honda Winery.
- Google CloudcoreGoogle Cloud partnership established through Google for Startups Accelerator: Cloud North America. VESSL AI brought support for Google Cloud to their managed cloud platform, allowing teams to bring their private Google Cloud account with a single command (vessl cluster create). Partnership continues with co-hosting events like Agentic AI Hack Night with Google DeepMind.
- SamsungmajorSamsung partnership mentioned in context of cloud infrastructure collaboration alongside Oracle and NVIDIA, strengthening the multi-cloud managed service offering.
Scale indicators11 records
Recent moves6 records
Expansion highlights8 records
VESSL AI competitors and assessment
Company assessmentMarket position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key highlights7 records
Customer concentration
VESSL AI social profiles
Digital presenceVESSL AI compliance and trust
Trust signalCompliance5 records
VESSL AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
VESSL AI leadership team
Management profileNumber of profiles
Profiles4 records
VESSL AI funding detail
Funding detailFunding overview
Funding rounds4 records
Investors11 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
VESSL AI 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 VESSL AI
What does VESSL AI do?
VESSL AI operates VESSL Cloud, a GPU-as-a-Service neocloud platform providing on-demand access to NVIDIA GPUs (A100, H100, H200, B200, GB200, B300) with multi-cloud orchestration, automatic failover, and unified billing. It sells GPU compute via Spot, On-Demand, and Reserved tiers, plus dedicated multi-node VM Clusters with InfiniBand interconnect for distributed training. Supporting capabilities include interactive Workspaces, Batch Jobs, Cluster/Object Storage, Secrets Management, and the vesslctl CLI for programmatic access.
Is VESSL AI a public or private company?
VESSL AI is a private company. It is classified as venture growth investor backed and is currently operating.
When was VESSL AI founded?
VESSL AI was founded in 2020. It employs 11 to 50 people.
Where is VESSL AI based?
VESSL AI is headquartered in San Francisco, United States, in the North America region.
How does VESSL AI make money?
Two revenue lines are on record. GPU Compute (GPUaaS) is the primary driver. The others are VM Clusters (VMaaS).
Does VESSL AI have an API?
Yes. VESSL Cloud provides a REST API accessible via the vesslctl CLI tool, enabling developers to manage workspaces, batch jobs, storage volumes, clusters, teams, secrets, tags, and billing entirely from the terminal. The CLI supports native MCP (Model Context Protocol) integration and includes a bundled Claude skill. API operations include job creation with environment variables and secrets injection, volume mounting, SSH key management, workspace lifecycle management, and billing operations. Auth is via browser-based OAuth login for the CLI. Developer documentation is at docs.cloud.vessl.ai.
What industry is VESSL AI in?
VESSL AI's product category is GPU Cloud Infrastructure. Its primary akta.pro industry code is HDAAAAAK, AI Compute Cloud & GPU-as-a-Service, with a secondary code of HDABADAC, GPU/Accelerator Compute Servers. Its NAICS code is 541511 and its SIC code is 7372.