# SiLC

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

SiLC Technologies is a silicon photonics company headquartered in Monrovia, California that builds integrated single-chip FMCW (frequency-modulated continuous-wave) LiDAR — coherent 4D vision systems that capture depth, instantaneous velocity via micro-Doppler, and dual-polarization intensity from one photonic chip. Its Eyeonic product family spans Eyeonic Trace Ultra (a Class 1 laser line scanner for industrial automation and inspection), Eyeonic Vista (an ultra-long-range perimeter security and counter-UAS vision system with detection beyond 2 km), and Eyeonic Edge (high-precision 4D inspection of large objects). The company sells sensors, modules and vision chips to industrial and AI robotics, perimeter security, and mobility customers. It was founded by Dr. Mehdi Asghari and is backed in part by Honda. SiLC ships hardware, not software services: as of this profile it publishes no public developer program, API, SDK, documentation portal, or machine-readable specification.

## Kin Score — 8.3 / 100 (minimal)

Scored 2026-08-17 under rubric 0.11.0. Trend: flat (+0.0 from 8.3).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 2.2 |
| Commercial Clarity | 10.5 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | 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 |

## Security (1)

- **Silc Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Silicon Photonics, LiDAR, Machine Vision, Sensors, Semiconductors, Robotics, Perimeter Security, Computer Vision, Hardware

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