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Elorian

Category: Foundation Models / LLMs

A stealth-mode AI research company developing next-generation multimodal foundation models with a specific focus on advanced visual reasoning and the path toward Artificial General Intelligence (AGI). Elorian was founded in 2025. The company is led by Andrew Dai. Based in Palo Alto, USA. Team size: 11-50. Total funding raised: $55.0M. Latest round: Seed, $50.0M, 2025-01, led by Undisclosed. Key investors include Striker Ventures, Menlo Ventures, Altimeter Capital, NVIDIA, 49 Palms, Jeff Dean.

Founded
2025
Headquarters
Palo Alto, USA
Team size
11-50
Total funding
$55.0M

Value proposition

Bridging the gap between text-centric LLMs and true visual understanding, enabling AI to perform complex logical reasoning tasks based on visual inputs rather than simple image recognition.

Products and solutions

Multimodal Foundation Models (LVM/LMM), Visual Reasoning Engine, AGI Research Frameworks, Proprietary Multimodal Training Data Pipelines

Unique value

Founded by the core architects of Google's Gemini (data lead) and Apple's vision models, the company focuses on 'reasoning' within the visual domain—a known bottleneck for current frontier models.

Target customer

Enterprise AI developers, robotics companies, autonomous systems manufacturers, and high-end tech firms requiring advanced visual-spatial intelligence.

Industries served

Artificial Intelligence, Computer Vision, Robotics & Automation, Autonomous Vehicles, Enterprise Software

Technology advantage

Leverages deep expertise in scaling massive multimodal datasets and training high-efficiency vision-language models, utilizing proprietary techniques developed by the founders during their tenures at Google DeepMind and Apple.

How they differentiate

Focuses specifically on 'visual reasoning'—the logical processing of visual-spatial data—leveraging the founders' expertise in scaling Gemini's multimodal data and Apple's vision systems to solve the reasoning bottleneck in AGI.

Main competitors

World Labs, Physical Intelligence (Pi), General Intuition

Key partnerships

Striker Ventures (Lead Investor), Menlo Ventures (Co-Lead Investor), Altimeter Capital (Co-Lead Investor), NVIDIA (Strategic Investor), Jeff Dean (Advisor/Investor)

Major milestones

Founded in 2025 by core architects of Google Gemini and Apple Vision models, Entered stealth mode to develop visual reasoning engines for AGI, Raised $55M seed round at $300M valuation co-led by Striker Ventures, Menlo Ventures, and Altimeter Capital (Apr 2026), Emerged from stealth on April 9, 2026

Growth metrics

Raised $55M seed round at a $300M post-money valuation (April 2026). The round was raised in two tranches: first at $120M valuation, second at $300M.

Market positioning

Frontier AI research lab in stealth mode targeting the next generation of multimodal foundation models.

Geographic focus

North America (San Francisco-based)

Patents and IP

No registered patents disclosed as of latest update (Stealth mode).

About Andrew Dai

Andrew Dai is a veteran AI researcher who spent 14 years at Google and Google DeepMind. He was a Director and Principal Research Scientist, notably serving as the co-lead for the pre-training data of Google's Gemini model. His work has been foundational in large language models and multimodal AI reasoning.

Official website: