What we are building

Two workstreams running in parallel

The dataset workstream builds what does not exist: recorded, transcribed, openly licensed speech from the Ebonyi language cluster. Izzi, Ezaa, Ikwo, and Mgbo together have millions of speakers and, at the time of this writing, zero speech datasets and no trained AI models anywhere. The work starts with elders. Their voices carry the fullest register of each language, and they are the cohort most absent from African AI data. Only 2.4% of Africa's new voice data comes from speakers over 50. We record life stories, market conversation, proverbs, farming knowledge. We transcribe, clean, and publish under open licenses so anyone can build on the result.

The service workstream runs alongside, not after. Three candidate applications are being scoped now: a clinic voice intake tool, an agricultural extension interface, and a diaspora-to-village voice bridge on WhatsApp. All three address the same fact: 76% of consumers prefer products in their own language, and none of these languages currently have the data that would make such products possible. The service work tells us which datasets to build first. The dataset work makes the services viable.

Dataset workstream

Four things we are building or opening

Active

Elder-voice pilot, Ebonyi cluster

We record spontaneous speech from elders in Izzi, Ezaa, Ikwo, and Mgbo: life stories, market talk, proverbs, farming knowledge. Izzi alone has roughly 540,000 speakers and zero datasets anywhere. The method follows Kallaama, a community team that collected 125 hours under a Lacuna grant with nothing more than phones, consent forms, and local speakers.

Two funding doors are open now. ELDP small grants offer up to EUR 10,000 per project, with the next deadline on 1 October 2026. The Lacuna Fund NLP rounds are recurring and open to African-headquartered teams. A pilot with the ELDP becomes the evidence package for Lacuna.

Active - letters only

WAEC/NECO licensing ask

Decades of professionally edited text in Igbo, Edo, Efik, Ibibio, Yoruba, and Hausa sit inside past exam papers and the WAEC selected WASSCE texts list. Nobody has formally asked for a research license to digitize this material. We are writing that letter. The ask is narrow: a non-commercial research license, anonymized past papers, attribution to WAEC, and co-branding on the resulting open dataset. Cost to try is one letter and one meeting.

Later work

Developer integration layer

Once the elder-voice pilot produces real assets, we build an API serving the Ebonyi cluster, modeled on the Igbo API rather than competing with it. Igbo API already accepts dialect contributions and tracks Izzi, Ezaa, and Edda as pronunciation variants. A partnership conversation is the natural first step. Engineering work without data behind it serves no one, so this follows the pilot.

Later work

Nollywood conversation

Nigeria's film industry produces roughly 2,500 films a year (WIPO), many with scripts and subtitles in Nigerian languages. No open corpus of this material exists. We start the relationship with producers and guilds now. Licensed access to that scale of natural dialogue is a year-two or year-three result at the earliest, and the conversation is worth starting early.

Service workstream

Three candidate applications in scoping

Scoping

Rural clinic voice intake

A nurse at a community health post speaks a patient complaint in Izzi; a structured record comes back. The demand is real: Intron Health raised USD 1.6 million to solve this for English and Pidgin. Izzi and Ikwo remain outside every existing clinical voice tool. We are scoping what a community-built version requires.

Scoping

Agricultural extension voice tool

A smallholder farmer asks about cassava blight in Ikwo; extension advice comes back in the same language. We are scoping whether a spoken-language interface over existing extension knowledge bases is buildable at community scale. Kallaama collected agricultural vocabulary as part of its domain coverage, which shapes our recording priorities.

Scoping

Diaspora-village voice bridge on WhatsApp

Town unions in the UK, US, and Canada already send money home. What they cannot reliably send is voice messages their grandparents can interact with in Ezaa or Mgbo. A WhatsApp-based interface that transcribes, translates, and reads back between diaspora and village is being scoped here. Diaspora communities built NaijaVoices and Igbo API. They are likely early users and early funders for this too.

12-month sequence

What the year looks like

First three months

Foundations and the ELDP application

We write to two traditional rulers and three churches in Izzi LGA requesting recording days at the palace and village hall. We draft consent forms in written and oral form in Izzi, Ezaa, and Ikwo. The ELDP small-grant application goes in before 1 October 2026, asking for up to EUR 10,000 to cover recorders, transport, and participant payments. In the same month, the WAEC letter goes out and we contact Masakhane to find a linguist co-investigator. A strong ELDP application names one.

Months four through nine

Pilot recordings across two languages

We hold the first Village Recording Days in Izzi, targeting 10 to 30 hours per day with 20 or more speakers per session. A second round extends into Ikwo, where Alex Ekwueme Federal University sits inside the LGA. Students trained through campus club chapters do transcription sprints. Every recording carries dialect and village metadata from the first take, following the MAFAND recipe for translated sentence pairs. We submit a deposit to ELAR so the data has a permanent, funder-visible home before the Lacuna application goes in.

Months ten through twelve

First release, Lacuna application, AfricaNLP paper

The pilot data is cleaned, listed on Lanfrica, and published on Hugging Face under an open license. A short paper on the collection methodology goes to AfricaNLP 2027. The Lacuna Fund application names the pilot as proof of capacity: a funded team, a consented corpus, an archived deposit, a published dataset, and a paper in submission. The Mother Language Day festival in Abakaliki on 21 February gives us a public moment to show the dataset to the state government and press.

“Onye wetara oji wetara ndu”

Whoever brings kola nut brings life.

Izi proverb, Ebonyi State