en.Wedoany.com Reported - AethexAI, a startup focused on building voice AI products for the African and Middle Eastern markets, was founded last year and has secured $3 million in pre-seed funding. The round was led by 4DX Ventures, with participation from Enza Capital, Dorm Room Fund, Mojo Ventures, and Stanford GSB 26 Fund. Individual investors include Stanford faculty, telecom executives, and AI researchers from Anthropic.
Rather than using existing orchestration tools like Vapi or LiveKit, the company developed its own models and orchestration layer from scratch to handle localized dialects of English, French, and Arabic in its target markets. The company has also launched an enterprise platform for clients to trial the technology and sign up for services, as well as APIs and SDKs for developers to experiment with its models.
AethexAI was founded by Mariama Diallo and Ayooluwa Odemuyiwa. CEO Diallo previously worked at Goldman Sachs before joining YC-backed ModelML, where she led product and growth. CTO Odemuyiwa, a Caltech graduate, worked at Meta and attended Stanford Graduate School of Business. The duo aimed to build products for emerging markets and began seeking opportunities.
Global enterprises are racing to adopt AI tools for automating operations, but results have been mixed in some markets. The founders discovered that a call center in Egypt automated most of its calls but reverted to manual systems due to poor performance. Multiple support centers in Africa told them that hiring engineers at a reasonable cost for call automation was a long-standing challenge.
"The latency and jitter we saw in automating calls in this region were severe. If we became an orchestrator, we might have to use large models hosted outside the region, leading to higher latency. To make this work, we had to use very small models and cut latency at every step," Odemuyiwa told TechCrunch, explaining the company's decision to build its own models and orchestration layer.
AI labs typically spend millions of dollars on training and data acquisition to deploy the latest models. AethexAI decided that small models could solve latency issues while maintaining accuracy, developing the Kora series of models with parameters ranging from 300 million to 1.7 billion. To train these models, the company used anonymized recordings from partner call centers and shipped hard drives to radio stations across Africa to collect audio data. To reduce costs, the company established a network of university students to label data and read out local names. According to the company, it now processes over 17,000 calls daily.
On the business side, the company uses live demos and workshops to help clients unfamiliar with voice AI identify the most suitable use cases for automation. Current use cases primarily involve debt collection, customer activation, or KYC (Know Your Customer verification, a standard identity verification process used by banks and telecom companies) calls. The company is hiring frontline deployment engineers on a contract basis to serve local markets and establishing channel partnerships with telecom providers to handle phone services for voice AI calls.
Walter Baddoo, co-founder and managing partner of 4DX Ventures, believes the African and Middle Eastern markets are fundamentally different from those initially served by most voice AI companies. "Enterprises in Africa and the Middle East handle roughly three times the call volume of their Western counterparts because voice remains the primary channel for customer interaction. Existing systems were built for Western markets, characterized by high-end GPU infrastructure, standard English, and European voice environments. This creates a real gap when businesses need to handle dialects, code-switching, and informal speech patterns, while operating within their existing phone infrastructure and actual price ranges."
While companies like ElevenLabs, Deepgram, Sierra, and Cognigy are rapidly expanding globally, the markets they were originally built for are not always the same as those they are entering. Startups like AethexAI are betting on these gaps—models focused on local dialects, on-the-ground partnerships, and infrastructure built for the region—representing market voids that giants have neither the incentive nor the architecture to fill.
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