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.
Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.
API Evangelist profiles Inviscid AI the way a machine reads it — 1 machine-readable artifact, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Inviscid AI scores 7.6/100 (minimal), with a separate agent-readiness read of 0/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Inviscid AI
Each block below is one kind of artifact we hold for Inviscid AI. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Security Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for Inviscid AI — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Access & Security 1
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Company 3
The organization behind the API
Other 1
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/inviscid-ai · machine-readable index on apis.io