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EqualyzAI

EqualyzAI provides a voice-first agentic AI platform for African languages and dialects, enabling businesses to build speech models and voice agents that work across cloud, on-premise, and feature-phone environments. Its product suite includes VoiceMaker for text-to-speech and transcription, VoiceAgent for customer service automation, and VoiceBridge for collecting voice data via IVR systems. The platform is built on compact, domain-specific small language models optimized for code-switching and low-resource settings.

Traction 10/10
Washington, United States · HQ
Founded 2024135K+ followers
  • Artificial Intelligence
  • AI Agents
  • Developer Tools
  • Software Only
Updated 2 months ago

Funding

Funding rounds are not available yet.

Founders

3 founders

Bayo Adekanmbi

CEO/Co-Founder

Since Dec 2024 · 1 yr 11 mos

Data Science Nigeria Founder

Olubayo Adekanmbi

CEO/Co-Founder

EqualyZAI • CEO/Co-Founder

Ife Adebara

Chief Technology Officer / Co-Founder

Since Oct 2024 · 2 yrs 1 mo

  • University of Alberta
  • University of British Columbia

University of Alberta

Product

Problem

Global voice AI platforms largely ignore African languages and dialects, leaving businesses and developers without tools that handle code-switching, low-resource linguistic features, and infrastructure constraints like feature-phone access and limited bandwidth. This gap prevents organizations from deploying voice-based services to populations who rely on speech rather than text interfaces.

Solution

EqualyzAI provides a voice-first agentic AI stack built specifically for African linguistic and infrastructure realities. The platform includes core automatic speech recognition (ASR) and text-to-speech (TTS) models trained on naturally mixed speech such as English-Pidgin and Yoruba-English, enabling code-switching as a default behavior. Products like VoiceMaker handle transcription and voiceover generation, VoiceAgent powers conversational customer service agents, and VoiceMiner offers voice-based business intelligence for traders. The stack is deployable via cloud API, on-premise, or feature-phone-accessible systems, and supports building custom voice agents that listen, reason, and respond in the caller's language.

Target Audience

Primary customers are enterprises in telco, banking, financial services, and government that need voice AI in local languages, as well as developers and researchers building voice-first products or collecting African language datasets.

Features

  • VoiceMaker: text-to-speech and multilingual transcription with code-switching support across 5+ Nigerian dialects, including Yoruba, Igbo, Hausa, and Pidgin
  • VoiceAgent: voice-first AI agents for customer calls in African languages with natural conversation, human handoff, and contact centre integration
  • VoiceMiner: voice-based business intelligence for traders, enabling natural language recording of transactions and plain-speech data queries
  • VoiceBridge: IVR-based data collection system that works on feature phones without internet, producing structured, ML-ready datasets
  • Compact small language models optimized for low-latency edge inference, domain-specific fine-tuning (healthcare, finance, education, agriculture), and reduced compute costs
  • REST API and SDKs (Python, JavaScript, mobile) for developers, with real-time and batch endpoints
This profile is AI-generated and may contain inaccuracies.