What Advanced Machine Intelligence does

Advanced Machine Intelligence (AMI Labs) is a Paris-based, privately held frontier AI research lab founded in January 2026 by Yann LeCun (Executive Chairman), Alex LeBrun (CEO), and a team of scientists and engineers recruited from Meta, Google, and other leading AI organizations. The company develops world-model AI systems — built on a non-generative, self-supervised JEPA/V-JEPA-style architecture trained on multimodal sensor data (cameras, LiDAR, video, spatial streams) — that learn abstract representations of real-world dynamics, support persistent memory, and use action-conditioned prediction to enable agentic planning subject to safety guardrails.

AMI's product surface centers on a single foundational technology, the World Models architecture, instantiated through capability modules such as Action-Conditioned World Models for agentic planning, persistent memory, and reasoning and planning. Target application verticals include industrial process control, automation, manufacturing, aerospace, biomedical, pharmaceutical, robotics, wearable devices, and consumer products such as domestic robots and smart glasses. The flagship commercial application is FDA-certifiable agentic healthcare AI, co-developed with Nabla (AMI's first commercial partner, led by former Nabla CEO Alex LeBrun).

AMI is pre-revenue: the company raised a $1.03B seed round at a $3.5B pre-money valuation on March 10, 2026 — the largest seed round ever for a European startup — co-led by Cathay Innovation, Greycroft, Hiro Capital, HV Capital, and Bezos Expeditions, with NVIDIA, Toyota Ventures, Temasek, Samsung, Eric Schmidt, Tim Berners-Lee, and other strategic and angel backers participating. Go-to-market combines direct enterprise sales to organizations operating complex industrial systems, strategic co-development partnerships (Nabla in healthcare; a reported Meta relationship for technology commercialization), and a parallel open-source and open-publication motion aimed at the global research community. Operations span Paris, New York, Montreal, and Singapore from day one.

Name

Advanced Machine Intelligence

Legal name

Advanced Machine Intelligence

Website

https://amilabs.xyz

Company type

Private

Founded year

2026

Operating status

Operating

Headcount range

11–50 employees

Short description

Advanced Machine Intelligence (AMI Labs) is a Paris-based frontier AI research lab building non-generative world-model AI systems that learn from real-world sensor data, serving enterprise customers in healthcare (via Nabla), manufacturing, aerospace, robotics, and industrial automation.

Ownership category

akta.pro rank

Product category

AI Foundation Models

NAICS

Computer Systems Design Services (541512), Search, Detection, Navigation, Guidance, Aeronautical, and Nautical System and Instrument Manufacturing (334511), Navigational, Measuring, Electromedical, and Control Instruments Manufacturing (33451), Instruments and Related Products Manufacturing for Measuring, Displaying, and Controlling Industrial Process Variables (334513)

SIC

Services-Computer Integrated Systems Design (7373), Laboratory Analytical Instruments (3826)

akta.pro primary industry

End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)

akta.pro secondary industries

AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF), Audit, Explainability & Accountability Tooling (traceability, reporting) (HDAAAKAL), AI/Analytics Video Surveillance (Detection, LPR, People Counting) (HSAHACAF)

Keywords

• World model AI
• Self-supervised learning
• Embodied AI systems
• Multimodal sensor AI
• Agentic AI planning

Headquarters

HQ city

Paris

HQ country

France

HQ region

Europe

Offices4 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

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

Revenue model

1. Pre-revenue / Commercialization TBD: As of March 2026 AMI is freshly capitalized with a $1.03B seed round and has not yet disclosed a pricing or revenue model. First commercial deployments are planned via strategic partner integrations (e.g., Nabla in healthcare) targeting FDA-certifiable agentic AI, implying future licensing/subscription/managed-services economics to be defined.

Pricing tiers

Go-to-market motion3 records

Distribution channels3 records

Marketing channels6 records

Core offering

Advanced Machine Intelligence (AMI Labs) develops "world models" — AI systems that learn abstract representations of real-world sensor data (cameras, LiDAR, video, spatial streams) via self-supervised learning and predict in representation space rather than generative output. The systems include persistent memory, reasoning and planning modules, and safety guardrails, and are being applied to industrial process control, automation, robotics, wearable devices, and healthcare (with Nabla as first commercial partner).

Product overview

Advanced Machine Intelligence (AMI Labs) is a unified frontier AI research lab built around a single core technology — world models — rather than a platform-plus-modules architecture. The core product is the AMI Labs research and product organization itself, within which the World Models technology (including its Action-Conditioned World Models agentic planning capability) serves as the foundational architecture for all applications. Target applications where reliability, controllability, and safety matter — including industrial process control, automation, wearable devices, robotics, and the healthcare AI solution co-developed with Nabla — are vertical instantiations of this same underlying world model technology, not separately sold modules.

Differentiator

Problem solved

Functional benefit

Products and services

• World Models Proprietary AI architecture that learns abstract representations of real-world sensor data (cameras, LiDAR, video, spatial streams) via self-supervised learning and makes predictions in representation space rather than generative output, built on the JEPA / V-JEPA paradigm. Targeted at industrial process control, automation, wearable devices, robotics, and healthcare.
• Healthcare AI (with Nabla) Healthcare-focused application of AMI's world models, co-developed with Nabla to build FDA-certifiable agentic AI systems that maintain persistent context across clinical workflows involving images, text, scheduling, and billing. Nabla receives early access to AMI's emerging world-model technology.

Quantifiable outcome

• $1.03 billion raised in a single seed round
• +2 more outcomes

Named customers1 record

Segments4 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability11 records

Feature5 records

Partnerships

Two partnerships are on record, tiered flagship and core.

• NablaflagshipStrategic or Co-development PartnerNabla is AMI's first commercial partner, announced alongside the March 10, 2026 launch. The companies are co-developing FDA-certifiable agentic healthcare AI; Nabla receives early access to AMI's world-model technology and is integrating it into clinical workflows (documentation, scheduling, billing, multi-modal reasoning). AMI's leadership (CEO Alex LeBrun) is the former CEO of Nabla, strengthening the relationship.
• MetacoreStrategic or Co-development PartnerReported strategic partnership with Meta for technology commercialization, with potential future collaboration on research and go-to-market activities; Meta is not investing in AMI Labs at this stage and AMI remains free to partner with other companies.

Scale indicators8 records

Recent moves6 records

Expansion highlights7 records

Direct peers

• Covariant: Industrial robotics AI company building foundation models for warehouse and manipulation tasks. Closest commercial-stage analogue to AMI's industrial process control and automation segment.
• World Labs: Fei-Fei Li-founded startup building 'large world models' that understand 3D physical structure from images and video. Most directly comparable to AMI in the world-models category, with similar sensor-data-driven, non-generative-leaning approach.

Emerging players

• Physical Intelligence: Well-funded startup building a general-purpose foundation model for robot control, backed by Jeff Bezos, OpenAI, and Sequoia. Competes with AMI for the same robotics/automation use cases and shares the foundation-model-for-physical-AI thesis.
• Genesis AI: Embodied-AI research lab building physics and world-model simulations for robotics, founded by researchers from MIT, Stanford, and CMU. Comparable as a frontier research-stage peer also betting on world models for physical AI rather than text LLMs.
• Skild AI: Pittsburgh-based foundation-model startup for robotics, building general-purpose 'robot brains' from multimodal sensor data. Overlaps with AMI's robotics and embodied-AI customer segment and shares a foundation-model approach to physical-world tasks.

Broad incumbents

• OpenAI: Generative-AI incumbent whose Sora video-generation and robotics efforts (e.g., Figure AI investment, internal robotics research) directly overlap with AMI's world-model roadmap. Sets the dominant paradigm AMI is explicitly positioning against.
• Google DeepMind: Google's frontier research arm building world models (Genie), embodied agents (RT-2 family), and Gemini; a direct technical and talent competitor to AMI, with vastly larger compute and dataset access.
• Anthropic: Frontier AI lab whose safety- and controllability-focused Claude line competes for the same regulated enterprise and developer mindshare that AMI is targeting with world models. Not a world-model peer, but a direct competitor for capital, talent, and AI-platform deals.

Regional players

• Mistral AI: Paris-based frontier AI lab and Europe's most prominent homegrown AI champion. Comparable as a European-headquartered, well-funded AI research organization competing for European AI talent, partners, and enterprise mindshare.
• H Company: Paris- and London-based European frontier AI lab founded by ex-DeepMind researchers, focused on agentic and multi-modal AI. Comparable as a European-headquartered, well-funded alternative for the same enterprise and agentic-AI market.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat6 records

Key risks7 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/amilabs-xyz

Revenue estimate

Valuation estimate

Number of profiles

Profiles6 records

Funding overview

Funding rounds1 record

Investors35 records

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 Advanced Machine Intelligence