AI doesn't speakmost of the world.نحن نُصلح ذلك. · Tunasuluhisha hilo.
LocaleNLP is building the foundational language infrastructure for 2.6B people whose languages AI systems cannot understand. Offline-first. Low-resource optimized. Grounded in community data.
Backed & supported by
Data fuel meets inference engine.
ORAOX collects and validates the community data. AfriLION trains on it. Lughatna ships it to the edge. A vertically integrated stack — the Alphabet of African and Arabic language AI.
Language infrastructure that transforms industries.
Where standard AI fails, LocaleNLP delivers — in the fields, classrooms, and clinics of the Global South.
Voice chatbots for crop and market data.
Smallholder farmers receive real-time crop pricing, weather alerts, and soil advisory in their own language — no literacy or data connection required. Deployed via SMS-linked IVR and offline voice models.
Personalized learning via AI translation.
Curriculum delivered in a child's mother tongue from day one — bridging the gap between national official languages and the 2,000+ languages spoken at home across sub-Saharan Africa and the Arab world.
Remote diagnosis via local voice-to-text.
Community health workers in remote clinics use voice-driven diagnostic protocols, symptom triage, and patient record systems — all in the local language, all offline-capable on a basic Android device.
One SDK. Fifty languages. Zero cloud dependency.
Initialize the LocaleNLP SDK and get production-grade African and Arabic language inference in minutes — on-device, offline-capable, deployed to your edge node.
Live intelligence. Every language.
Real-time processing across 50+ low-resource languages — coverage, entity extraction, ASR confidence, and sub-4ms latency, all verifiable.
Why existing AI doesn't scale to the world
A new layer of AI infrastructure
Six interlocking systems that make AI accessible where it was previously impossible.
Low-Resource Language Models
Purpose-built transformer architectures trained on under-represented African and Arabic languages with native speaker validation.
Offline-First Inference
Full capability on-device — no cloud required. Built for rural deployments with intermittent connectivity.
Sub-4ms Edge Inference
Real-time speech-to-speech AI deployed at the network edge — zero latency, zero cloud dependency. The core engine behind every LocaleNLP product.
Speech-to-Speech Systems
End-to-end voice translation across language pairs with sub-4ms edge latency.
Community Data Engine
Lughatna — a crowdsourced linguistic data platform that pays native speakers to contribute voice recordings and translations.
Multimodal AI
Vision-language models trained on African visual contexts — not proxies adapted from Western datasets. Document understanding, scene description, and OCR for scripts with no existing commercial support.
Nine systems. One infrastructure layer.
Every component is purpose-built for low-resource language environments — not adapted from English-dominant pipelines.
From language to intelligence
import LocaleNLP from '@localenlp/sdk';
const nlp = new LocaleNLP({ key: process.env.LOCALE_API_KEY });
// Swahili → English + Arabic
const result = await nlp.translate({
text: "Habari za asubuhi",
source: "sw",
targets: ["en", "ar"],
mode: "contextual"
});
// { en: "Good morning", ar: "صباح الخير", confidence: 0.96 }This problem is accelerating
When AI speaks every language, everything changes
A smallholder farmer asks about soil conditions — in Hausa.
Voice AI interprets the query, cross-references local agronomic data, and responds with rainfall forecasts and crop timing advice — all offline, in dialect.
A student learns mathematics in Amharic, not English.
Mother-tongue education dramatically improves retention. LocaleNLP provides the language layer that makes adaptive learning software culturally coherent.
A nurse collects patient history in Swahili — accurately.
Medical translation errors kill. Native-language symptom collection with clinical terminology validation prevents misdiagnosis at the first point of contact.
Build for the world that AI forgot.
Join research institutions, NGOs, and technology companies building on LocaleNLP's language infrastructure.
Join Lughatna — contribute your language →