What Eigen AI does

Eigen AI (legal entity MagicByte AI, Inc.) is a Palo Alto-based AI infrastructure company founded in 2023 by Ryan Hanrui Wang, Wei-Chen Wang, and Di Jin — researchers originating from MIT HAN Lab and MIT CSAIL — to build what the company calls Artificial Efficient Intelligence (AEI). The company sells the EigenLoop platform, a three-module system covering the full AI model lifecycle: EigenData for synthetic training-data generation and repair (a self-evolving multi-agent platform for function-calling data), EigenTrain for post-training, fine-tuning, and reinforcement learning, and EigenInference for high-performance production inference. Eigen AI's technical differentiation rests on full-stack optimization spanning model architecture (NVFP4 and FP3 quantization, AWQ lineage), system runtime (speculative decoding via Eagle-3 and DFlash, KV-cache optimization, continuous batching), and GPU kernels (custom CUDA and Triton), delivering independently measured #1 GPU-based inference speed across 25 leading open-source models on Artificial Analysis with up to 913 tokens/sec on GPT-OSS-120B and claimed 10× faster inference and 10× lower cost versus baseline deployments.

The platform serves AI developers and enterprises deploying open-source models (GPT-OSS, DeepSeek, Qwen, Llama, GLM, Kimi, MiniMax, Nemotron) across cloud, VPC, on-prem, edge, and hybrid environments, with named customers spanning consumer IoT (Wyze), built-environment analytics (Butlr), and healthcare/clinical research (Bayesoft). Revenue is generated through a credit-based, per-token API consumed via the Eigen AI Model Studio (app.eigenai.com) and dedicated enterprise endpoints sold as managed solutions with SLA enforcement. Distribution is augmented by OEM-style integrations, notably serving as the inference platform for Boson AI's Higgs-Audio v2.5 voice model and — following a strategic partnership announced in March 2026 — being embedded into Nebius Token Factory. On June 10, 2026, Nebius Group N.V. (NASDAQ: NBIS) closed its acquisition of Eigen AI for approximately $643 million in cash and Class A shares, with the entire Eigen AI workforce joining Nebius to establish its Bay Area engineering presence; Eigen AI now operates as a wholly-owned subsidiary of Nebius.

Name

Eigen AI

Legal name

MagicByte AI, Inc.

Website

https://eigenai.com

Company type

Private

Founded year

2023

Operating status

Acquired

Headcount range

11–50 employees

Short description

Eigen AI builds the EigenLoop platform — EigenData, EigenTrain, and EigenInference — providing full-stack optimization (quantization, speculative decoding, custom kernels) for open-source AI model inference and post-training, serving developers and enterprises deploying models at scale. Acquired by Nebius Group in June 2026.

Ownership category

akta.pro rank

Product category

AI Inference Platform

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182), Computer Systems Design Services (541512)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

Model Deployment, Serving & Inference Platforms (HDAAABAF)

akta.pro secondary industries

End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA), Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH), Model Hosting, Serving & Inference Platforms (HDAAACAB)

Keywords

• AI inference optimization
• Model serving platform
• LLM deployment
• AI infrastructure software
• Model fine-tuning

Headquarters

HQ city

Palo Alto

HQ country

United States

HQ region

North America

Offices2 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

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

Revenue model

1. Credit-Based API Access: Eigen AI operates on a credit-based prepaid model where customers purchase Credits to access and consume the Service. Credits expire 12 months from purchase date if unused. Auto-Replenishment allows automatic purchase of additional Credits when balance falls below a threshold. Usage is consumed on a per-token basis through the API.
2. Enterprise Managed Solutions: Dedicated endpoints with guaranteed performance isolation and SLA enforcement for enterprise production workloads, sold as managed solutions alongside API access.

Pricing tiers

Go-to-market motion2 records

Distribution channels4 records

Marketing channels5 records

Core offering

Eigen AI develops and operates the EigenLoop platform, a full-stack AI model lifecycle management system comprising EigenData for synthetic data generation, EigenTrain for RL post-training and fine-tuning, and EigenInference for accelerated serving of open-source AI models. The platform is delivered via a self-serve API (app.eigenai.com) on a credit-based usage model, alongside dedicated enterprise endpoints with SLA enforcement, and is also embedded through partners such as Nebius Token Factory and Boson AI. Eigen AI's optimization techniques (NVFP4/FP3 quantization, Eagle-3/DFlash speculative decoding, custom CUDA/Triton kernels) deliver up to 10x faster inference and 10x lower cost across 25 leading open models.

Product overview

Eigen AI is an AI infrastructure company offering the EigenLoop platform — a comprehensive end-to-end AI system comprising three integrated modules: EigenData for synthetic training data generation, EigenTrain for model fine-tuning and post-training, and EigenInference for high-performance production inference. The platform supports both cloud and on-premises deployments across VPC, on-prem, edge, and hybrid environments. Eigen AI provides the EigenData-CLI command-line tool for programmatic access to data generation workflows, and Eigen Image for multimodal image generation. The company was acquired by Nebius Group in June 2026 for $643 million, with Eigen AI's optimization technology now integrated into Nebius Token Factory platform.

Differentiator

Problem solved

Functional benefit

Brands

• EigenLoop: Integrated platform comprising EigenData (synthetic data generation), EigenTrain (post-training and fine-tuning), and EigenInference (accelerated model serving and deployment).
• EigenInference
• EigenTrain
• EigenData
• Eigen Image
• EigenData-CLI

Products and services

• EigenLoop Platform End-to-end AI model lifecycle platform combining data generation, fine-tuning, and optimized inference for open-source AI models; targets AI developers and enterprises deploying models at scale.
• EigenData Self-evolving multi-agent system for generating, auditing, and repairing high-quality function-calling agent training data at scale; used by developers training tool-using AI agents.
• EigenTrain Post-training and fine-tuning platform with RL-based training workflows that converts prepared data into optimized models; used by enterprises customizing open-source LLMs, VLMs, and multimodal models.
• EigenInference Accelerated inference engine delivering higher throughput and lower latency while preserving model accuracy across cloud, private cloud, on-prem, and edge deployments; ranks #1 GPU-based provider speed across 25 leading open models on Artificial Analysis.
• Eigen Image Native multimodal image generation capability that interprets intent, reasons through context, and creates visuals through planning, generation, and self-reflection stages; includes visual reasoning, adaptive aspect ratios, and long context rendering.
• EigenData-CLI Command-line interface for generating, refining, auditing, and repairing high-quality function-calling agent data; supports schema polish, data generate, data repair, data audit, and MCP server integration for programmatic data workflows.
• Eigen AI Model Studio Web-based platform for accessing Eigen AI's model library, playground, deployment management, fine-tuning capabilities, and usage tracking with credit-based API billing for self-serve access.

Quantifiable outcome

• 10× faster inference (TTFT, tokens/sec, end-to-end latency)
• +5 more outcomes

Named customers3 records

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration6 records

AI capability12 records

Feature8 records

Partnerships

Seven partnerships are on record, tiered core and minor.

• NebiuscoreStrategic or Co-development Partner · 10 June 2026Eigen AI was acquired by Nebius Group N.V. (NASDAQ: NBIS) for approximately $643 million in a cash-and-stock deal ($98M cash + 3.8M Nebius Class A shares). The acquisition closed on June 10, 2026 after regulatory approvals. Eigen AI's optimization stack is being integrated into Nebius Token Factory, strengthening it as a frontier managed inference platform. The entire Eigen team joined Nebius and established Nebius's Bay Area engineering and research presence.
• Nebius (Pre-Acquisition Partnership)coreTechnology or Integration · 17 March 2026Prior to the acquisition, Eigen AI and Nebius partnered to co-develop optimized versions of frontier open-source models (DeepSeek, GLM, GPT-OSS, Kimi, Llama, MiniMax, Qwen) and integrate them into Nebius Token Factory. Eigen AI provided inference optimization through EigenInference; Nebius provided autoscaling infrastructure and GPU clusters. Jointly optimized endpoints ranked among the fastest on Artificial Analysis.
• Boson AIcoreTechnology or Integration · 15 January 2026Eigen AI and Boson AI partnered to power Higgs-Audio v2.5, Boson's high-performance voice model. Eigen AI serves as the inference platform delivering ultra-low latency, expressive prosody modeling, and advanced voice cloning through EigenInference, deployed via Eigen AI Cloud Platform. Higgs-Audio 2.5 reduces parameter count from 3B to 1B while maintaining quality.
• NVIDIAcoreTechnology or IntegrationEigen AI maintains a close technical collaboration with NVIDIA for day-0 inference support of NVIDIA Nemotron model families (Nano Omni, Ultra, ASR, Content Safety). Eigen AI quantizes Nemotron models to NVFP4 and deploys on NVIDIA Blackwell GPUs via EigenInference. Eigen AI also participates in NVIDIA's ecosystem for GPU-based inference optimization.
• WyzeminorOthersWyze uses EigenTrain for post-training optimization of in-house AI models for home surveillance. Eigen's optimization pipeline enabled Wyze to achieve breakthrough accuracy on real-world benchmarks at consumer scale.
• ButlrminorOthersButlr uses EigenTrain and EigenDeploy to fine-tune and optimize AI models for built environment analytics, enabling efficient scaling across distributed systems.
• BayesoftminorOthersBayesoft uses EigenTrain for post-training and deployment in clinical research AI systems, improving precision in multi-step reasoning and data interpretation for drug development.

Scale indicators7 records

Recent moves7 records

Expansion highlights6 records

Direct peers

• Anyscale: Anyscale, built on Ray, offers scalable AI compute and inference serving for open-source models. Targets similar enterprise workloads with optimized inference and fine-tuning capabilities.
• Modal: Modal offers serverless compute and inference for AI workloads with developer-friendly APIs. Competes with Eigen AI in serving open-source models with focus on ease of deployment and elastic scaling.
• Fireworks AI: Fireworks AI provides low-latency inference and fine-tuning for open-source LLMs with proprietary optimization techniques. Directly competes with Eigen AI on speed, cost, and model coverage for open-model serving.
• Lepton AI: Lepton AI provides a cloud platform for running and deploying AI models with optimized inference for open-source models. Targets similar developer and enterprise customers with managed inference and fine-tuning.
• DeepInfra: DeepInfra provides low-cost, low-latency inference API for open-source AI models. Offers usage-based pricing similar to Eigen AI's credit-based model and supports a broad range of open models.
• RunPod: RunPod offers GPU cloud and serverless inference for AI models with usage-based pricing. Competes in the developer-focused open-source model serving market with similar self-serve and on-demand deployment model.
• Together AI: Together AI is a direct competitor offering optimized inference and fine-tuning for open-source AI models with similar full-stack optimization approach. It targets the same developer and enterprise customer base with API access and dedicated deployments.
• Replicate: Replicate runs open-source machine learning models at scale via cloud API. Provides similar inference-as-a-service for open models, targeting developers and smaller teams with pay-per-use pricing.

Broad incumbents

• CoreWeave: CoreWeave is a large-scale GPU cloud provider offering inference and training infrastructure for AI workloads. Broader portfolio includes raw GPU compute plus managed inference, competing with Nebius's vertically integrated stack that now includes Eigen AI.
• Lambda Labs: Lambda Labs provides GPU cloud infrastructure and AI cloud services including inference for open-source models. A larger incumbent with broader hardware offerings and enterprise reach overlapping Eigen AI's deployment model.

Market position

Strengths5 records

Weaknesses4 records

Competitive moat4 records

Key risks5 records

Key highlights6 records

Customer concentration

• Xx.com/Eigen_AI_Labs
• GitHubgithub.com/eigen-ai-labs
• YouTubeyoutube.com/@Eigen_AI
• LinkedInlinkedin.com/company/eigen-ai-labs

Compliance3 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

Funding overview

Funding rounds

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 Eigen AI