# webAI

**Canonical:** https://apis.io/providers/webai/  
**Website:** https://www.webai.com  
**APIs profiled:** 0

webAI is a sovereign AI platform for building, owning, and connecting specialized intelligence that runs where your data lives. Instead of sending sensitive data to a centralized cloud, webAI lets organizations create and deploy custom AI models on their own local infrastructure with local orchestration, keeping data in place to reduce risk, lower latency, and make costs predictable across healthcare, manufacturing, finance, aviation, public sector, and retail. The platform spans Companion, Navigator, Runtime, webFrame, Network, and a CLI, and its first shipping product is a macOS desktop app for Apple Silicon Macs offering on-device Chat, Personas, Messages, Contacts, and Artifacts that can run fully offline.

## Kin Score — 22.8 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 22.8).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 15.8 |
| Developer Ergonomics | 38.1 |
| Commercial Clarity | 36.8 |
| Access Clarity | 36.8 |

## 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 (2)

- **Webai Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC
- **Webai Trust Center** — SOC 2, ISO 27001

## Tags

Company, Artificial Intelligence, On-Device AI, Edge AI, Sovereign AI, Machine-Learning, Privacy, Local Inference, macOS

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