# Sensemesh

**Canonical:** https://apis.io/providers/sensemesh/  
**Website:** https://sensemesh.ai  
**APIs profiled:** 0

Sensemesh builds an AI-powered operating system that unifies cameras, sensors, and drones into a single intelligent network for real-time perception and autonomous response. The platform fuses visual, thermal, audio, and pressure sensor data so organizations can detect threats, investigate incidents, dispatch drones autonomously, and query sensor history in natural language across law enforcement, corrections and prisons, events and venues, homeowners associations, and schools and universities. Backed by DCVC, Sensemesh was added to the API Evangelist network as a portfolio lead; as of this enrichment pass the company publishes a single marketing site (sensemesh.ai) with no public API, SDK, developer documentation, or well-known metadata.

## Kin Score — 9.2 / 100 (minimal)

Scored 2026-08-21 under rubric 0.12.0. Trend: flat (+0.0 from 9.2).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Commercial Clarity | 21.1 |
| Access Clarity | 21.1 |

## 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).

## Tags

Company, Physical Security, Sensor Fusion, Computer-Vision, Drones, Artificial Intelligence, Surveillance, Public Safety

---

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