Intron
Category: Voice / Speech AI
Africa-centric voice AI platform providing best-in-class speech recognition and text-to-speech models specifically built for African languages, accents, and speech patterns, outperforming global tech giants on African speech benchmarks. Intron was founded in 2020. The company is led by Tobi Olatunji. Based in Lagos, Nigeria. Team size: 20-50. Total funding raised: $1.6M. Latest round: Pre-Seed ($1.6M, July 2024). Key investors include Microtraction, Plug and Play Ventures, Jaza Rift Ventures, Octopus Ventures, Africa Health Ventures, OpenseedVC, Pi Campus, Alumni Angel, Baker Bridge Capital.
- Founded
- 2020
- Headquarters
- Lagos, Nigeria
- Team size
- 20-50
- Total funding
- $1.6M
Value proposition
Delivers 50%+ better accuracy than OpenAI, Google, AWS, and Azure on African names, locations, numbers, and accented speech, enabling reliable voice automation for enterprises serving African populations where global voice AI fails.
Products and solutions
Sahara v2.5 (ASR with bilingual code-switching across 12 African language pairs; first African trilingual Kinyarwanda-English-French ASR; ~63 total languages / 500+ accents), Sahara-TTS v2.5 (code-switching TTS / voice generation across 13 languages including Igbo and Hausa), Streaming ASR & Streaming TTS API (live captions, real-time voice agents), Sahara Voice Agents / Voice Bots (fintech collections, CX, WhatsApp), Sahara-Voice-Lock (Voice authentication), Offline Voice AI (Nvidia on-prem / sovereign deployments), Sahara-Titan (multilingual translation across major African languages — in development)
Unique value
Built on proprietary African speech corpus (150,000+ hours, 53,000+ speakers, 64 languages, 500+ accents) with patented AccentMix; Sahara v2.5 delivers bilingual code-switching ASR across 12 African language pairs and the first African trilingual (Kinyarwanda-English-French) ASR, plus code-switching TTS in 13 languages—outperforming Gemini/ElevenLabs/Meta on African code-switched speech benchmarks.
Target customer
Hospitals and healthcare systems, banks and financial services, court systems and legal institutions, call centers and BPOs, government ministries across Africa
Industries served
Healthcare, Legal & Justice, Financial Services, Telecommunications, Customer Experience/Call Centers
Technology advantage
Patented AccentMix plus US patent filings for trilingual/code-switching ASR; Sahara v2.5 bilingual mixing across 12 African languages and first African trilingual (Kinyarwanda-English-French) model; streaming ASR/TTS API; offline Nvidia deployments; company benchmarks show lower WER than Gemini 3.6 / ElevenLabs / Meta on code-switched African speech and continued lead on African names, numbers, and accented English.
How they differentiate
Proprietary African speech corpus (150k+ hours / 53k+ speakers) and AccentMix; Sahara v2.5 uniquely handles mid-sentence African language mixing (12 bilingual pairs + first trilingual KR-EN-FR ASR) and code-switching TTS; published benchmarks beat Gemini/ElevenLabs/Meta on code-switched African speech (e.g. 34.3% vs 53.8% WER vs Gemini 3.6); multi-vertical GTM (healthcare, legal, fintech, CX) with offline/sovereign Nvidia deployments
Main competitors
OpenAI Whisper, Google / Gemini Speech, Spitch, Lelapa AI
Key partnerships
Nvidia (Inception; offline enterprise / PAMO Clinics; Indaba masterclass), Google Research / Google Cloud for Startups (LLM benchmarking; startup program), Microsoft for Startups, AWS Startup Programs, Bill & Melinda Gates Foundation (healthcare AI / benchmarks), Digital Square at PATH, CLEAR Global / Gooey.AI (independent medical QA benchmarks), Penda Health Kenya (bilingual Swahili-English ASR), Ogun State Judiciary Nigeria (court transcription), Audere South Africa (WhatsApp voice), Branch International (collections voice agents)
Notable customers
Ogun State Judiciary (Nigeria), Penda Health (Kenya), Audere (South Africa), Branch International (Fintech), C-Care Hospitals (Uganda), University College Hospital Ibadan, Aminu Kano Teaching Hospital, Babcock Teaching Hospital Ogun, Meridian Health Group Nairobi
Major milestones
Raised $1.6M pre-seed funding led by Microtraction (July 2024), Launched Sahara-v2 with support for 57 languages / 500+ accents (March 2026), Launched Sahara v2.5 with bilingual code-switching ASR (12 language pairs), first African trilingual Kinyarwanda-English-French ASR, code-switching TTS in 13 languages, and ~63 total languages (August 2026), Published 2026 Africa Voice AI Report alongside v2.5, Sahara v2.5 WER 34.3% vs Gemini 3.6 53.8% on 12 code-switched African languages (company benchmarks), Branch International Sahara collections agents recovered ₦1.2M+ delinquent loans in one week, Ogun State Judiciary expanded from 3 pilot courts to 9 (goal: all 18), Training data expanded to 150,000+ hours / 53,000+ speakers / 64 languages / 500+ accents, Serving 40+ enterprise orgs across 6 African countries, Nvidia offline deployment at PAMO Clinics (Port Harcourt), Sahara CodeSwitch Hackathon at Deep Learning Indaba 2026 (120+ teams, 21 countries), Partnered with Nvidia Inception, Google Research/Cloud, Gates Foundation, PATH Digital Square
Growth metrics
Revenue grew 7-8x in Q1 2025 vs full year 2024; expanded from healthcare to serve legal, financial services, and customer service sectors across 8 African countries
Market positioning
Specialized Africa-centric voice AI platform for enterprise deployment, evolved from healthcare-focused to multi-sector (legal, financial services, call centers) with premium positioning based on superior African speech accuracy; serves as regional specialist against global voice AI platforms
Geographic focus
Pan-African production/research deployments for 40+ organisations across 6 countries: Nigeria, Kenya, South Africa, Uganda, Rwanda, and Ghana; competitive advantage in African accents, local languages, and code-switching vs. global voice AI platforms
Patents and IP
AccentMix algorithm (patented); US patent filings for proprietary trilingual/code-switching ASR algorithms (Sahara v2.5); CEO holds 3 US patents in healthcare AI technology
About Tobi Olatunji
Medical doctor (MD) turned AI researcher with expertise in clinical NLP/ASR. Former Research Scientist at Amazon Web Services (AWS), former role at Enlitic. Founded Bio-RAMP Research Lab. Holds 3 US patents in healthcare AI. Combines medical background (MBBS from University of Ibadan, 2006-2012) with advanced degrees in Computer Science (Georgia Institute of Technology) and Medical Informatics (University of San Francisco, 2015-2017). Certificate in Healthcare Management from Yale School of Public Health. Member of Research and Innovation Working Group, Commonwealth Artificial Intelligence Consortium (CAIC).
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Official website: https://www.intron.io