Lugha is a language intelligence platform powering translation, AI evaluation, and high-quality multilingual datasets for underrepresented languages — Swahili, Luganda, Hindi, Urdu, and more.
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Lugha — n.
"Language" in Swahili.
The medium by which a people's culture, knowledge, and identity travel into the world.
About Lugha
Lugha is building the foundational language infrastructure for AI systems in emerging markets — combining human linguistic expertise, AI-powered evaluation, structured multilingual datasets, and enterprise-grade language APIs.
We started in translation. We're becoming the data layer that AI companies, NGOs, hospitals, fintechs, and governments rely on to operate across languages.
Every translation processed through Lugha contributes to multilingual corpora — proprietary intelligence assets, not just deliverables.
Fluency scoring, terminology validation, and error detection run on every project — continuously improving our quality models.
A vetted network of certified translators across African and Asian languages, paired with AI to scale without losing nuance.
Translation, localization, and quality evaluation exposed as APIs — built for engineering teams shipping multilingual products.
Tamper-proof translation and dataset records — so AI teams know exactly where their training data came from and who produced it.
Deep coverage where mainstream models fall down — Swahili, Luganda, Hindi, Urdu, Hausa, Amharic, Bengali, and more.
The Lugha platform
From data infrastructure to AI evaluation to enterprise APIs — the building blocks for multilingual AI in emerging markets.
The data advantage
Each project compounds into proprietary multilingual datasets, AI training corpora for African and Asian languages, and continuously improving quality models. Translation is the doorway — data infrastructure is the product.
Every translation feeds curated corpora — yours and ours, cleanly separated.
Medical, legal, business, education — tagged and structured for fine-tuning.
Parallel pairs, labels, and metadata in formats AI teams actually need.
Quality scores feed back into the engine — evaluation models improve with every project.
AI Translation Intelligence Engine
Human-in-the-loop translation, continuous learning from real corrections, and a dataset engine that compounds with every edit.
Pick a domain, run AI translation, and see the improved output.
Run translation to see output…
Awaiting AI run…
Core modules
Real-time suggestions for demo users and internal translators. Improves grammar and fluency, learns from human corrections, and maintains domain-specific terminology.
Accuracy, fluency, and terminology scoring (0–100). Compares AI versus human-edited versions and tracks quality improvement over time.
Converts every translation into a structured record — source, AI output, human correction, final, metadata. A continuously growing multilingual corpus.
How AI Engine works
Use cases
Training multilingual models with verified African and Asian language datasets.
Accurate medical translation for patient communication, records, and clinical trials.
Operating across languages and regions without sacrificing message fidelity.
Localizing product, support, and compliance content as they expand into new markets.
Multilingual public communication, policy translation, and citizen-facing services.
Blockchain Trust Layer
Not crypto. Not trading. An audit and provenance layer for AI Engine outputs and datasets — so enterprise buyers can verify the integrity of every record.
Source hash, final hash, timestamp, and AI-vs-human version comparison — an immutable record of every change.
Every dataset evolves with full lineage. v1, v2, v3… correction logs, AI improvement history, domain tagging.
Translator contributions, per-contributor quality lift, AI learning influence, and reputation — full transparency.
How Blockchain Trust works
Simple process
From upload to delivery in four steps. Average turnaround: 24–48 hours.
Push source documents, strings, or live content streams through our enterprise API. Files of any size, any language pair, ingested and segmented automatically.
Segments flow into the continuous row-grid workspace and are routed to the right linguists in real time, with AI pre-translation already in place.
Every edit is autosaved offline-first to the linguist's device and verified through human review plus automated QA checks before release.
Approved deliverables are hashed and anchored to our verification ledger — producing a tamper-evident record of every translation and dataset contribution.
Differentiation
Traditional agencies sell time. Generic AI tools produce raw output. Lugha builds the data layer underneath them both.
Leadership
Platform, linguistics, and growth — operating as equals to make every language a first-class citizen of the AI era.
Founder
Architect of Lugha's scalable language rails across emerging markets. With deep expertise in localized data workflow orchestration, Devis drives the platform vision — engineering the verifiable data architecture that gives African and Asian languages a foundational layer in the AI era.
Are you a skilled translator or linguist passionate about African and Asian languages? We're always looking for talented people to grow our team.
View open positionsFAQ
Enterprise & partnerships
Whether you're training a multilingual model, localizing a product, or running mission-critical communications across borders — we'll match the right layer of the platform to your use case.
Request Access
Dataset licensing, API access, enterprise translation, or partnership — we'll route your request to the right team and respond within one business day.