README.md

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title: Flagship
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# Flagship

**Flagship** is a Moroccan-registered company, **founded in 2022**. We have served as a **research partner** across a range of projects, and **since 2024 we publish open datasets and models** and produce scholarship on **AI risks and alignment**.

Our work centers on three threads:

- **Open data & models** — building and releasing datasets and models for underserved languages and domains, so the public-good layer of AI stays open and reusable.
- **AI safety & alignment** — research and writing on emerging risks, the safe and accountable deployment of AI systems, and alignment.
- **Applied language technology** — turning open research into tools real communities can use.

## 🌍 Lingo / NativeAI — preserving Cameroon's oral-first languages

Our flagship applied project preserves and revitalizes Cameroon's largely oral, low-resource languages through open voice and text data and French-pivot machine translation. Live at **[lingo.cm](https://lingo.cm)**.

**Open models**
- French-pivot MarianMT covering **59 Cameroonian languages** (119 translation directions), served as compressed int8 — see [`cameroon-int8`](https://huggingface.co/flagship-ai/cameroon-int8) plus the original fp32 releases.

**Open datasets**
- [`cameroon_bibles`](https://huggingface.co/datasets/flagship-ai/cameroon_bibles) — verse-aligned scripture text across **59 Cameroonian languages**.
- [`ghomala-spoken-bible`](https://huggingface.co/datasets/flagship-ai/ghomala-spoken-bible) — **~20 hours** of aligned spoken Ghomálá' (audio + trilingual text).

All released under CC-BY-4.0. Read the research log at **[lingo.cm/blog](https://lingo.cm/blog)**.

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*Open data, open models, open questions about how to build AI responsibly.*