# Plumerai

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

Plumerai builds AI software for intelligent cameras that pairs tiny on-device edge AI models with cloud Vision Language Models (VLMs). Its Video Intelligence products cover detection of people, vehicles, animals and packages, Familiar Face Identification, cross-camera Re-Identification, noise-robust motion detection, VLM-based video search, and custom AI notifications. The Plumerai Inference Engine is a deep-learning model compiler and runtime optimized for CPU inference on Arm Cortex-M / Cortex-A, RISC-V and x86_64. Plumerai integrates via SDKs (C++, C, Python, Rust, Java) rather than a hosted REST API, with the same unified API running from microcontrollers to servers. Plumerai also maintains the open-source Larq ecosystem for training and running Binarized Neural Networks.

## Kin Score — 10.8 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 10.8).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 23.8 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

## 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 (1)

- **Plumerai Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Ai Ml, Edge AI, Computer-Vision, Embedded, Machine-Learning, Inference, Camera

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