Inviscid AI

Inviscid AI is a San Francisco-based startup (Y Combinator W2026) building physics-informed AI for real-time cooling and airflow simulation of buildings and industrial facilities. Its platform combines computational fluid dynamics (CFD) with physics-informed neural networks to run thermal digital twins up to 1000x faster than traditional CFD, ingesting live data from building management systems, meters, and IoT sensors to autonomously recommend HVAC setpoints and optimize airflow. Target facilities include data centers, offices, hospitals, and cold storage, where the company claims 30%+ energy savings and sub-90-day ROI. As of mid-2026 Inviscid AI is a pre-product-launch company with no public developer portal, API, SDKs, or OpenAPI surface; this profile tracks it as an API Evangelist network lead pending an external API.

Inviscid AI is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Simulation, Digital Twin, and HVAC.

Inviscid AI’s developer surface includes support and 5 more developer resources.

🌐 Visit website 📡 Source on GitHub

7.6/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyArtificial IntelligenceSimulationDigital TwinHVACEnergyData CentersSustainabilityIoT

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 7.6/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 0.9 / 20

Commercial Clarity 0.0 / 20

Operational Transparency 0.0 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

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 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

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/inviscid-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 →

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Company 3

The organization behind the API

Website

Website

LinkedIn

Twitter

Twitter

Other 1

Properties that don't map to a standard resource type

Company

Company

Source (apis.yml)

aid: inviscid-ai
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/inviscid-ai.png
name: Inviscid AI
description: Inviscid AI is a San Francisco-based startup (Y Combinator W2026) building physics-informed AI for real-time
  cooling and airflow simulation of buildings and industrial facilities. Its platform combines computational fluid dynamics
  (CFD) with physics-informed neural networks to run thermal digital twins up to 1000x faster than traditional CFD, ingesting
  live data from building management systems, meters, and IoT sensors to autonomously recommend HVAC setpoints and optimize
  airflow. Target facilities include data centers, offices, hospitals, and cold storage, where the company claims 30%+ energy
  savings and sub-90-day ROI. As of mid-2026 Inviscid AI is a pre-product-launch company with no public developer portal,
  API, SDKs, or OpenAPI surface; this profile tracks it as an API Evangelist network lead pending an external API.
url: https://raw.githubusercontent.com/api-evangelist/inviscid-ai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Artificial Intelligence
- Simulation
- Digital Twin
- HVAC
- Energy
- Data Centers
- Sustainability
- IoT
apis: []
common:
- type: DomainSecurity
  url: security/inviscid-ai-domain-security.yml
- type: Website
  url: https://inviscidai.com/
- type: Company
  url: https://www.ycombinator.com/companies/inviscid-ai
- type: LinkedIn
  url: https://www.linkedin.com/company/inviscid-ai/
- type: Twitter
  url: https://x.com/InviscidAI
- type: Support
  url: https://inviscidai.com/#contact
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence