Addis AI

Voice-first AI infrastructure for African languages

Transcribe calls and speak your replies with 56 natural voices in Amharic, Afaan Oromo, Tigrinya, Swahili, Hausa, Sidama and Wolaytta, on our own models, in our cloud, yours or on-prem.

20M+ API calls served. Speech-to-text benchmarked in public against Google Gemini and Chirp. See the results

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Customers and partners using Addis AI across support, education, health, and public services in Africa.

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Playground: Voice AI in African Languages

Try live chat and speech. Speak or type and get responses in native script and culturally natural phrasing.

Voice AI for Low-Resource Languages

Add speech-to-text + natural voice responses with low-latency streaming for call centers, IVR, and WhatsApp-style experiences.

Cross-Lingual RAG for African Languages

Index English, French, or German documents and answer in African languages with localized, grounded responses.

Real-world use cases

Enterprise deployments and initiatives across Africa

Deployment-Ready African Language AI Modules

Combine model adaptation, cross-lingual RAG, and enterprise localization integration in one stack.

Language model adaptation

Native-Quality Models for Low-Resource Languages

Production-ready language models adapted for scripts, dialects, and cultural context - optimized for accuracy and deployment constraints.

Domain adaptation

Tune models for sector terminology and regional phrasing.

Voice-ready quality

Robust to accents, code-switching, and noisy audio.

Production deployment options

Private cloud or on-prem hosting with latency SLAs.

Model StackOpen or hosted
Knowledge DataDocs and chats
Fine-tuning
Existing Stack
Go Live
Customer

Knowledge Base

🇪🇹
🇰🇪
🇳🇬
Retrieval with governance

Cross-Lingual RAG with Governance

Grounded answers across languages with evidence and deployment controls built in.

Multi-language indexing

Index mixed-language sources and answer in target African languages.

Citations by default

Return source snippets and links for every response.

Governed deployment

Audit logs, confidence traces, and role-based controls.

Effortless integration

Localization Integration & Enterprise Deployment

APIs and SDKs that plug into your stack - from prototypes to production.

REST APIs + SDKs

Ship chat, STT, TTS, and translation with one interface.

Ready connectors

Connect messaging, CRM, ERP, and ticketing tools quickly.

Enterprise rollout controls

SSO, role-based access, and staging tools. Docs

Addis AI
Addis AI
WhatsApp
Telegram
Twilio
Microsoft Outlook
Outlook
Gmail
Microsoft Teams
Teams
Salesforce
Oracle
SAP
Microsoft Dynamics 365
Dynamics 365
HubSpot
Zoho CRM
Jira
ServiceNow
ServiceNow
Zendesk
Confluence
Slack
PostgreSQL
Custom API
Google Sheets
Polar
Shopify
Airtable
MySQL

Extend, Don't Rebuild

Use Addis AI as the localization layer for your agents and knowledge bases - bring RAG to African languages without reworking your stack.

Your existing knowledge

  • Knowledge bases & documents
  • Support conversations
  • Policies & manuals
  • Templates & guidelines
  • Quality metrics (CSAT / NPS)
Your existing pipelineRAGs, models, agents
Addis AI
Addis AI
Localized delivery
Brand-aligned
Culture-aware (Rural contexts · Accent variability)
Use-case specific (Enterprise support · Public services · Farmer advisory)

Built for real operations across support, education, health, and public services

We already run in real African conditions.

Low-bandwidth optimized
Accent native

Deployment, data and how a rollout starts

What an enterprise team usually asks us first.

Where it runs
A dedicated cloud deployment, a managed private model, or on-premise in your own environment.
Your data
Encrypted in transit. Under an enterprise agreement your audio and text are not used to train our models, and data residency is set per deployment. We sign an NDA before any data is shared.
Our own models
We train the speech models ourselves and do not resell another vendor's API. Results are published on public test sets, with open models and datasets on Hugging Face. Benchmarks
How a rollout starts
A scoping call, then a one-to-three-month pilot billed on usage. List prices are public; volume terms are agreed per contract. Pricing
Backed by
NVIDIA logo
Google for Startups logo
Cubic logo
AI Hub logo

Addis AI is backed by NVIDIA, Google for Startups, Cubic and AI Hub.

Support & Resources

Frequently Asked Questions

Everything you need to deploy language and voice AI securely. Can't find what you're looking for? Contact our team

Voices (text-to-speech) and Addis Scribe speech-to-text are publicly available in Amharic, Afaan Oromo, Tigrinya, Swahili, Hausa, Sidama and Wolaytta through the Addis AI platform and APIs. Streaming and real-time voice work in all seven languages, and chat and translation cover Amharic, Afaan Oromo and Tigrinya. Enterprise deployments can also support English, and we add more African languages based on enterprise demand.

Voice cloning and avatar dubbing are available by enterprise license only. Request a private demo and NDA.

Yes. Addis RAG can index English or other language sources and answer in the target African language.

Enterprise deployments run in a dedicated cloud, as a managed private model, or on-premise. Data is encrypted in transit, data residency is configured per deployment, and under an enterprise agreement your audio and text are not used to train our models.

Use our SDKs or REST API. Enterprise work starts with a scoping call, followed by a one-to-three-month pilot billed on usage.

Planning an African-language AI rollout?
Get a tailored consulting plan

Book a focused working session to map your use case, integration path, and pilot scope.

African Language Infrastructure

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Deploy African Intelligence?

Join the developers using Addis AI to build the next generation of multimodal agents for the African continent and beyond.

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