# Degla Inc

**Canonical:** https://apis.io/providers/degla-inc/  
**Website:** https://degla.ai  
**APIs profiled:** 0

Degla is a Y Combinator (Fall 2026) startup building an autonomous aerial intelligence layer that turns natural language into multi-drone mission execution. Operators describe an objective in plain language and Degla plans the mission, assigns aircraft, defines coverage patterns, and deploys a fleet that adapts in real time — with no waypoints, flight plans, or specialized training required. The platform targets search and rescue, emergency response, infrastructure inspection, and other critical field operations. Founded in 2026 by Aziz Hanafi and based in Boston, the company is in early access and has not yet published a public API, developer portal, or documentation.

## Kin Score — 5.0 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 5.0).

| 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 | 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)

- **Degla Inc Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Drones, Autonomous Systems, Artificial Intelligence, Aerospace, Emergency Response, Robotics

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