# Inviscid AI

**Canonical:** https://apis.io/providers/inviscid-ai/  
**Website:** https://inviscidai.com/  
**APIs profiled:** 0

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.

## Kin Score — 4.3 / 100 (minimal)

Scored 2026-08-21 under rubric 0.12.0. Trend: flat (+0.0 from 4.3).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 4.8 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

Regulatory layer — **Energy & Utilities**: 8.1 (matched via tags).

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Inviscid Ai Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

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

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/inviscid-ai/). Scores are computed from the provider's own public artifacts under a published rubric.