# Nauto

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

Nauto is a predictive AI platform for commercial fleet safety. Using in-vehicle AI dash cams and computer vision, it monitors driver behavior in real time, delivers predictive collision alerts before incidents occur, scores driver risk with its VERA system, and powers driver coaching, exoneration, and incident intelligence. Nauto also supports DVIR, IFTA, and ELD fleet-compliance workflows across trucking, delivery, construction, passenger transit, and field-service fleets. Backed by Greylock, Playground Global, and SoftBank Vision Fund, Nauto is SOC 2 Type 1/2 and ISO/IEC 27001:2022 certified.

## Kin Score — 16.1 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 16.1).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 18.2 |
| Contract Governance | 18.2 |
| Operational Transparency | 13.2 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 28.9 |
| Access Clarity | 28.9 |

## 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)

- **Nauto Domain Security** — TLSv1.3 · HSTS · DMARC
- **Nauto Vulnerability Disclosure** — contact published

## Tags

Company, Deep Tech, Fleet Safety, Fleet Management, Video Telematics, Driver Safety, Computer-Vision, Artificial Intelligence, Dash Cam, Transportation

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