# AICE

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

AICE is a defense-technology company building the next generation of underwater defense systems: autonomous swarms of modular marine drones that secure naval assets and coastal infrastructure against evolving underwater threats. Founded in 2026 by former NASA engineer Gregoire Chomette and European Robotics Champion Remi Bouteiller, the company is part of the Y Combinator Spring 2026 batch, is based in the San Francisco Bay Area with hardware manufactured in France, and applies swarm robotics and AI to surveillance, detection, and protection of critical subsea infrastructure. AICE currently ships hardware and does not publish a public API, SDK, or developer platform; this profile tracks the company for the API Evangelist network.

## Kin Score — 5.3 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 5.3).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 0.0 |
| 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)

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

## Tags

Company, Defense, Robotics, Autonomous Systems, Maritime, Underwater Drones, Hardware, Y Combinator

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