AMI Labs is a frontier AI research lab building intelligent systems that understand the real world. The lab develops world models trained with self-supervised learning on continuous, high-dimensional sensor data (cameras and other sensors), aiming for AI with persistent memory, reasoning and planning, and controllable, safety-oriented behavior. Targeted applications span industrial process control, automation, wearable devices, robotics, and healthcare. Founded by Yann LeCun as Executive Chairman with Alexandre LeBrun as CEO, AMI Labs launched officially on 2026-03-10 with a $1.03B USD round co-led by Cathay Innovation, Greycroft, Hiro Capital, HV Capital, and Bezos Expeditions, and operates from Paris, New York, Montreal, and Singapore. The lab operates as a research organization and publishes no public developer platform, API, SDKs, documentation, or machine-readable contract: amilabs.xyz is a two-page site whose own sitemap declares only / and /updates, and every OpenAPI, GraphQL, MCP, A2A and /.well-known/ discovery path probed on it returns HTTP 404.
AMI Labs is profiled on the APIs.io network. Tagged areas include Company, Ai Enterprise Software, Artificial Intelligence, Machine-Learning, and World Models.
AMI Labs’ developer surface includes engineering blog and 7 more developer resources.
Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for
this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero:
never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and
several others — scorable at all.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/ami-labs: open an issue to ask a question, or submit a pull request to add artifacts.
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aid: ami-labs
deliveryModel:
model: unknown
open_source: false
commercial: false
callable_host: false
label: Delivery model not determined — needs a product licence on record
confidence: low
source:
- none
generated: '2026-08-28'
method: derived
accessModel:
pricing: unknown
onboarding: unknown
trial: false
try_now: false
public: false
label: Unknown
confidence: low
source: []
generated: '2026-07-22'
method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/ami-labs.png
name: AMI Labs
description: 'AMI Labs is a frontier AI research lab building intelligent systems that understand the real world. The lab
develops world models trained with self-supervised learning on continuous, high-dimensional sensor data (cameras and other
sensors), aiming for AI with persistent memory, reasoning and planning, and controllable, safety-oriented behavior. Targeted
applications span industrial process control, automation, wearable devices, robotics, and healthcare. Founded by Yann LeCun
as Executive Chairman with Alexandre LeBrun as CEO, AMI Labs launched officially on 2026-03-10 with a $1.03B USD round co-led
by Cathay Innovation, Greycroft, Hiro Capital, HV Capital, and Bezos Expeditions, and operates from Paris, New York, Montreal,
and Singapore. The lab operates as a research organization and publishes no public developer platform, API, SDKs, documentation,
or machine-readable contract: amilabs.xyz is a two-page site whose own sitemap declares only / and /updates, and every OpenAPI,
GraphQL, MCP, A2A and /.well-known/ discovery path probed on it returns HTTP 404.'
url: https://raw.githubusercontent.com/api-evangelist/ami-labs/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- hv-capital
- obvious-ventures
- wing-venture-capital
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-08-17'
tags:
- Company
- Ai Enterprise Software
- Artificial Intelligence
- Machine-Learning
- World Models
- AI Research
- Robotics
- Automation
tags_raw:
- Company
- Ai Enterprise Software
- Artificial Intelligence
- Machine Learning
- World Models
- AI Research
- Robotics
- Automation
apis: []
maintainers:
- FN: Kin Lane
email: kin@apievangelist.com
- FN: APIs.json
email: info@apis.io
common:
- type: Packages
url: packages/ami-labs-packages.yml
- type: DomainSecurity
url: security/ami-labs-domain-security.yml
- type: Website
url: https://amilabs.xyz
- type: Blog
url: https://amilabs.xyz/updates
- type: LLMsTxt
url: llms/ami-labs-llms.txt
- type: Careers
url: https://jobs.ashbyhq.com/ami
- type: Contact
url: mailto:contact@amilabs.xyz
- type: Press
url: mailto:press@amilabs.xyz
x-enrichment:
date: '2026-08-17'
status: minimal
artifacts_added: 4
pass: local-v1
note: Full contract-discovery pass run against amilabs.xyz (the only host — no apis[] entries, no OpenAPI servers[], no
api./docs./developer./mcp./app./status./trust. subdomain resolves in DNS). OpenAPI/Swagger, GraphQL, MCP, A2A agent-card
(both canonical and legacy paths) and the whole /.well-known/ surface all returned 404. No first-party packages on npm/PyPI,
no Hugging Face models, and no GitHub organization for this company — github.com/amilabs and the @amilabs/* npm scope
belong to an unrelated firm (AmiLabs, Spain, contact@amilabs.pro, created 2015) and were deliberately NOT wired. No WellKnown,
SecurityTxt, Plans or RateLimits pointer emitted, because each of those artifacts records an absence rather than a presence.
x-coverage:
state: none
reason: no-developer-program
detail: AMI Labs is a pre-product research lab whose entire web presence is two pages — its own sitemap.xml declares exactly
https://amilabs.xyz and https://amilabs.xyz/updates — with no docs, no developer host in DNS, and a single March 2026
launch post that names no API, model release, or open-source repository.
evidence:
- url: https://amilabs.xyz/sitemap.xml
status: 200
- url: https://amilabs.xyz/openapi.json
status: 404
- url: https://amilabs.xyz/.well-known/agent-card.json
status: 404
- url: https://amilabs.xyz/docs
status: 404
checked: '2026-08-17'
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