What Moonlite AI does

Moonlite AI Inc. is a Chicago-based, Delaware-incorporated private company founded in 2024 that operates a high-performance AI infrastructure platform targeting enterprise buyers in financial services and high-performance computing research. The platform delivers GPU-accelerated compute clusters with RDMA and InfiniBand networking (Multi-Tbps connectivity), tiered storage, and automated cluster lifecycle management, deployable either inside customer data centers or in Moonlite facilities. The stack is benchmarked to greater than 95% of theoretical performance and is bundled with SOC 2 Type II, ISO 27001, and ISO 42001 certifications for buyers subject to SEC, FINRA, and MiFID II regulatory regimes.

The company's commercial offering is structured around two enterprise engagement tiers — the Research Pilot for proof-of-concept validation and the Enterprise Program for multi-year reserved-capacity production deployments — supplemented by vertical-specific solutions for quantitative trading teams (backtesting, ML on market microstructure) and HPC engineering/research organizations. The go-to-market is enterprise field sales with dedicated solution architects, supported by technical blog content, an ROI/inference calculator, and a documentation portal. As of March 2025, Moonlite launched VideoRAG with NVIDIA NIMs, demonstrating applied AI workloads (video retrieval using NVClip embeddings and Llama Vision Instruct 11B) on its infrastructure.

Moonlite is led by CEO and co-founder Vegim Begolli, who previously led the architectural transformation of Crusoe Cloud into an AI-focused GPU Cloud Service Provider. The company is an NVIDIA Inception Program member. As of mid-2024, Moonlite had filed an SEC Form D exempt securities offering targeting $4.57M with $4.25M raised, and operates with 1-10 employees. Revenue is not disclosed and the company appears to be at an early commercialization stage.

Name

Moonlite AI

Legal name

Moonlite AI Inc.

Website

https://moonlite.ai

Company type

Private

Founded year

2024

Operating status

Operating

Headcount range

11–50 employees

Short description

Moonlite AI provides GPU-accelerated, co-located AI infrastructure with RDMA/InfiniBand networking and embedded compliance (SOC 2, ISO 27001, ISO 42001) for quantitative trading firms and HPC research organizations, sold via multi-year enterprise contracts.

Ownership category

akta.pro rank

Product category

AI Cloud Infrastructure

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)

SIC

Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

AI Compute Cloud & GPU-as-a-Service (HDAAAAAK)

akta.pro secondary industries

AI Networking for Clusters (InfiniBand/Ethernet/RDMA) (HDAAAAAE), AI Compute Virtualization & Scheduling (GPU virtualization, cluster schedulers) (HDAAAAAG), Model Deployment, Serving & Inference Platforms (HDAAABAF)

Keywords

• GPU infrastructure
• AI compute platform
• High-performance computing
• Co-location services
• Managed AI infrastructure

Headquarters

HQ city

Chicago

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Infrastructure, Technology or R&D, Personnel, Operations, Marketing or Sales

Revenue model

1. AI Infrastructure Co-Location: Provides GPU-accelerated compute infrastructure co-located within customer data centers or deployed in Moonlite facilities. Revenue generated through reserved capacity contracts with multi-year terms and locked pricing. Eliminates egress fees for customers by providing direct connectivity.
2. Equity Securities Offering: SEC Form D filing indicates the company is raising capital through equity financing. Target offering of $4,570,000 with $4,249,148 already raised. Minimum investment of $24,996 for investors.

Pricing tiers

Go-to-market motion1 record

Distribution channels2 records

Marketing channels6 records

Core offering

Moonlite AI provides a GPU-accelerated high-performance AI infrastructure platform delivered via co-location within customer data centers or Moonlite facilities. The platform combines bare-metal compute performance with cloud-native operational simplicity, featuring RDMA/InfiniBand networking, tiered storage, and compliance by design (SOC 2, ISO 27001, ISO 42001). It serves quantitative trading firms and HPC research organizations requiring dedicated compute for distributed model training, large-scale backtesting, and computational research workloads.

Product overview

Moonlite AI offers a unified platform architecture centered on the Moonlite Platform for high-performance AI infrastructure. The platform is complemented by two engagement programs: the Moonlite Research Pilot (proof of concept and technical validation) and the Moonlite Enterprise Program (production deployments with reserved capacity). Vertical solutions include Financial Services AI Infrastructure for quantitative trading and High-Performance Computing Infrastructure for engineering/research teams. Additional tools include the Moonlite Infrastructure Calculator for ROI analysis.

Differentiator

Problem solved

Functional benefit

Products and services

• Moonlite Platform High-performance AI infrastructure platform co-located within customer data centers or Moonlite facilities, combining bare-metal compute performance with cloud-native operational simplicity. Provides enterprise-grade compute, networking, and storage for demanding AI workloads including distributed model training, large-scale data processing, and computational research.
• High-Performance Computing Infrastructure GPU-accelerated HPC infrastructure solution for engineering and research teams requiring enterprise-scale compute without operational overhead. Features HPC-optimized stack, RDMA/InfiniBand networking, automated cluster lifecycle management, and 24/7 engineering support with 15-minute response SLA.
• Financial Services AI Infrastructure Purpose-built AI infrastructure for quantitative teams and systematic trading research, enabling large-scale backtesting and ML model training on market microstructure. Includes compliance by default with support for SEC, FINRA, and MiFID II regulatory frameworks, and is certified SOC 2 Type II, ISO 27001, and ISO 42001.

Quantifiable outcome

• Deploy infrastructure in days, not months
• +3 more outcomes

Segments3 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability8 records

Feature6 records

Partnerships

Two partnerships are on record, tiered core.

• NVIDIAcoreTechnology or IntegrationNVIDIA Inception Program member. The company leverages NVIDIA NIMs (Inference Microservices) including NVClip for embedding generation and Llama Vision Instruct 11B for multimodal reasoning. Platform uses NVIDIA GPU technology and hardware profiles for AI infrastructure deployments.
• Enterprise and Research OrganizationscoreStrategic or Co-development PartnerPartnerships with engineering and research teams to deliver enterprise-grade AI capabilities. Collaboration on infrastructure deployment, workflow optimization, and custom integration with existing systems.

Scale indicators1 record

Recent moves6 records

Expansion highlights5 records

Broad incumbents

• DigitalOcean: Cloud provider serving SMB and developer workloads, now offering GPU instances (including via Paperspace acquisition). Overlaps in GPU cloud and managed compute for a price-sensitive buyer base.
• Equinix: Global colocation and interconnection provider with Metal and Fabric offerings that overlap with Moonlite's co-location and direct-connect value proposition. Larger, broader portfolio, not GPU-specialized.
• IBM Cloud: Hyperscaler-adjacent cloud with strong enterprise and regulated-industry presence, including HPC and financial services offerings. Competes for the same enterprise compliance-conscious buyers Moonlite targets.
• Vultr: Global cloud provider offering bare-metal, compute, and emerging GPU instances. Comparable as a competing source of dedicated compute and GPU capacity for budget-conscious buyers.

Direct peers

• CoreWeave: Specialized GPU cloud provider offering large-scale NVIDIA GPU compute for AI training and inference. Most direct comp on product (bare-metal-grade GPU clusters), target buyer (AI labs, enterprise), and go-to-market (multi-year reserved capacity).
• Lambda Labs: GPU cloud and hardware provider built on NVIDIA systems, serving AI researchers and enterprises with on-demand and reserved GPU instances. Closely comparable offering and customer base.
• Crusoe Cloud: AI-focused GPU cloud service provider and Moonlite CEO Vegim Begolli's prior employer. Directly comparable infrastructure and customer base, making it both a comp and a potential recruiting/benchmark reference.
• Together AI: AI cloud platform offering GPU clusters for training and inference with optimizations for large model workloads. Comparable buyer (AI research and enterprise) and product surface.
• RunPod: GPU cloud provider offering on-demand and reserved NVIDIA GPU instances for AI training and inference. Comparable product (GPU compute cloud) with overlapping enterprise and developer buyer base.
• Nebius: AI-centric cloud provider operating full-stack GPU infrastructure for AI training, inference, and HPC. Comparable focus on AI workloads and enterprise/government customers.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights6 records

Customer concentration

• Xx.com/moonlite_ai
• LinkedInlinkedin.com/company/moonliteai

Compliance6 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

Funding overview

Funding rounds1 record

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Moonlite AI