# Ambient.ai

**Canonical:** https://apis.io/providers/ambientai/  
**Website:** https://www.ambient.ai  
**APIs profiled:** 0

Ambient.ai (legal entity Ambient AI, Inc.) is an AI-powered enterprise physical security platform founded in 2016 by Stanford AI researchers Shikhar Shrestha and Vikesh Khanna, and headquartered in Redwood City, California. The company created the category of "Agentic Physical Security," where purpose-built computer vision and a Vision-Language Model (Ambient Pulsar) autonomously observe, detect, assess, and respond to real-world threats in real time. Ambient.ai transforms an organization's existing cameras, sensors, and access control systems into a unified intelligence layer through products including Ambient Foundation (real-time situational awareness), Ambient Advanced Forensics (investigation acceleration), Ambient Access Intelligence (PACS correlation to eliminate false alarms), and Ambient Threat Detection (150+ validated threat signatures). It integrates with 200+ ONVIF cameras and VMS/PACS platforms such as Axis, Hanwha, Avigilon, Genetec, Milestone, LenelS2, and Honeywell. The platform is SOC 2 Type II certified and GDPR/CCPA aligned, uses no facial recognition, and stores no PII. Ambient.ai is backed by a16z and Allegion.

## Kin Score — 19.4 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 19.4).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 16.7 |
| Commercial Clarity | 50.0 |
| Access Clarity | 50.0 |

## 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)

- **Ambientai Domain Security** — TLSv1.3 · HSTS · DMARC
- **Ambientai Trust Center** — SOC 2 Type II

## Tags

Company, Physical Security, Computer-Vision, Artificial Intelligence, Video Analytics, Access Control, Threat Detection, Enterprise Security, Agentic AI

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