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

3.8/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

Company Artificial Intelligence Simulation Digital Twin HVAC Energy Data Centers Sustainability IoT

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 3.8/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 0.4 / 17

Access Clarity 0.0 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.3 / 9

Regulatory Posture 1.2 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

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

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Regulatory Posture applies to this provider. Its tags matched the Energy & Utilities regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

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.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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/inviscid-ai: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Security Posture 1

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

Inviscid Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

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
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/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: '0.23'
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

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