# SiMa

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

SiMa.ai is a Silicon Valley machine-learning semiconductor company building a co-optimized hardware and software platform for physical AI at the edge. Its MLSoC (Machine Learning System-on-Chip) family — including the Modalix line delivering roughly 50 TOPS under 10 watts in multiple form factors — targets drones, robotics, automotive, industrial, retail, government, and healthcare. The developer experience centers on the Palette software suite and an agentic development environment that compiles and deploys computer-vision and multimodal models onto SiMa silicon, backed by a Developer Center, a model browser, a Hugging Face model hub (simaai), and a community forum. SiMa.ai ships downloadable SDK/CLI tooling and evaluation hardware (Modalix DevKit) rather than a hosted public HTTP API.

## Kin Score — 12.7 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 12.7).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 26.2 |
| Commercial Clarity | 10.5 |
| Access Clarity | 10.5 |

## 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)

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

## Tags

Company, Ai Ml, Edge AI, Machine-Learning, Semiconductors, Computer-Vision, Robotics, MLSoC

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