Elorian AI

Elorian AI Inc is a Palo Alto, California frontier AI research company founded in 2025 and emerged from stealth in April 2026, building foundation models for visual reasoning — models that process visual input directly rather than first converting imagery into text, with the stated goal of advancing toward "visual AGI" for applications in architecture, automotive, manufacturing and robotics. It was co-founded by Andrew Dai (CEO, formerly Google Brain and DeepMind, first author of the 2015 work introducing LM pretraining followed by supervised fine-tuning, co-lead of GLaM and PaLM 2 pretraining), Yinfei Yang (Chief Multimodal Architect, formerly Apple Foundation Model Multimodal and co-creator of ALIGN at Google Research) and Seth Neel (formerly a Harvard professor researching data-centric generative AI), with Dustin Tran (formerly xAI post-training lead) as Chief Reasoning Architect. The company raised a $55M seed round at a reported $300M valuation with Nvidia and Menlo Ventures as strategic partners, and was named to the Forbes Next Billion-Dollar Startups 2026 list. As of this profiling pass Elorian is pre-product: its site states the first foundation visual thinking model will be released "later this year" and offers only an early-access waitlist. It publishes no developer portal, no API documentation, no machine-readable specification, and no public API host.

Elorian AI is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine Learning, Foundation Models, and Multimodal.

Elorian AI’s developer surface includes YouTube channel and 15 more developer resources.

6.4/100 minimal ▬ flat Agent 3/100 human only Full breakdown ↓
scored 2026-08-17 · rubric v0.11.0
0 APIs
CompanyArtificial IntelligenceMachine LearningFoundation ModelsMultimodalComputer VisionVisual ReasoningRoboticsResearchPre-Product

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-17 · rubric v0.11.0
Composite quality — 6.4/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 0.0 / 20
Commercial Clarity 0.0 / 20
Operational Transparency 0.7 / 13
Governance 0.0 / 12
Discoverability 5.7 / 10
Agent readiness — 3/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
MCP Server 0 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/elorian-ai: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Pricing Plans 1

Published pricing tiers and plan structures.

Rate Limits 1

Documented rate limits and quota policies.

Elorian Ai Rate Limits

0 limits

RATE LIMITS

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Elorian Ai Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 1

Authentication, authorization, and security posture

Learn 1

Tutorials, courses, talks, and written guidance

Operate 2

Status, limits, changes, and where to get help

Commercial 1

Pricing, plans, and the legal terms of use

Company 5

The organization behind the API

Other 4

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
aid: elorian-ai
name: Elorian AI
description: 'Elorian AI Inc is a Palo Alto, California frontier AI research company founded in 2025 and emerged from stealth
  in April 2026, building foundation models for visual reasoning — models that process visual input directly rather than first
  converting imagery into text, with the stated goal of advancing toward "visual AGI" for applications in architecture, automotive,
  manufacturing and robotics. It was co-founded by Andrew Dai (CEO, formerly Google Brain and DeepMind, first author of the
  2015 work introducing LM pretraining followed by supervised fine-tuning, co-lead of GLaM and PaLM 2 pretraining), Yinfei
  Yang (Chief Multimodal Architect, formerly Apple Foundation Model Multimodal and co-creator of ALIGN at Google Research)
  and Seth Neel (formerly a Harvard professor researching data-centric generative AI), with Dustin Tran (formerly xAI post-training
  lead) as Chief Reasoning Architect. The company raised a $55M seed round at a reported $300M valuation with Nvidia and Menlo
  Ventures as strategic partners, and was named to the Forbes Next Billion-Dollar Startups 2026 list. As of this profiling
  pass Elorian is pre-product: its site states the first foundation visual thinking model will be released "later this year"
  and offers only an early-access waitlist. It publishes no developer portal, no API documentation, no machine-readable specification,
  and no public API host.'
url: https://raw.githubusercontent.com/api-evangelist/elorian-ai/refs/heads/main/apis.yml
image: https://avatars.githubusercontent.com/u/260778413?v=4
x-type: company
x-source: harvest:secondary-market
x-tier: stub
x-tier-reason: harvest
specificationVersion: '0.20'
created: '2026-08-12'
modified: '2026-08-12'
tags:
- Company
- Artificial Intelligence
- Machine Learning
- Foundation Models
- Multimodal
- Computer Vision
- Visual Reasoning
- Robotics
- Research
- Pre-Product
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/elorian-ai-domain-security.yml
- type: LLMsTxt
  url: llms/elorian-ai-llms.txt
- type: Plans
  url: plans/elorian-ai-plans-pricing.yml
- type: RateLimits
  url: rate-limits/elorian-ai-rate-limits.yml
- type: Website
  url: https://elorian.ai/
- type: GitHubOrganization
  url: https://github.com/elorian-ai
- type: Models
  url: https://elorian.ai/models.html
- type: Waitlist
  url: https://elorian.ai/models.html
- type: Team
  url: https://elorian.ai/team.html
- type: Press
  url: https://elorian.ai/press.html
- type: Careers
  url: https://jobs.ashbyhq.com/elorian-ai-inc
- type: ContactEmail
  url: mailto:contact@elorian.ai
- type: LinkedIn
  url: https://linkedin.com/company/elorian-ai
- type: Twitter
  url: https://x.com/ElorianAI
- type: YouTube
  url: https://youtube.com/@ElorianAI
- type: Profile
  url: https://forgeglobal.com/elorian-ai_stock/
x-enrichment:
  date: '2026-08-12'
  status: minimal
  artifacts_added: 5
  pass: local-v1
x-coverage:
  state: none
  reason: no-developer-program
  detail: Elorian AI is a pre-product frontier research lab — elorian.ai is a four-page static site whose models page says
    the first visual thinking model ships "later this year" and offers only an early-access waitlist, so there is no developer
    portal, no API host (api./docs./developer.elorian.ai are all NXDOMAIN) and nothing to document.
  evidence:
  - url: https://elorian.ai/
    status: 200
  - url: https://elorian.ai/models.html
    status: 200
  - url: https://elorian.ai/openapi.json
    status: 404
  - url: https://elorian.ai/docs
    status: 404
  - url: https://elorian.ai/.well-known/agent-card.json
    status: 404
  checked: '2026-08-12'