For millions of businesses across Africa and the Middle East, voice remains the most important channel for customer engagement. Yet despite rapid advances in artificial intelligence, many voice AI tools have struggled to operate effectively in these markets, held back by unreliable connectivity, complex telecom networks and difficulties understanding local languages and accents.
AethexAI is aiming to change that. The London-based voice AI infrastructure startup has secured $3 million in pre-seed funding to expand a platform designed specifically for emerging markets, helping businesses automate customer interactions at lower cost while improving reliability and scale.
The funding round was led by 4DX Ventures and included participation from Enza Capital, Dorm Room Fund, Mojo Ventures, 26 Fund and a group of strategic angel investors that includes Stanford faculty, telecom executives and AI researchers from Anthropic. The investment will be used to scale enterprise deployments, expand the company’s engineering and go-to-market teams and deepen product coverage across key regional markets.
The announcement comes as businesses across Africa and the Middle East increasingly seek technology that can improve efficiency, reduce operating costs and support growing customer demand. While many organisations have experimented with voice AI, existing solutions have often struggled to perform reliably in production environments, making adoption difficult.
Already operating with enterprise customers, AethexAI says its technology is handling up to 15,000 calls per day for a leading West African call centre operator, demonstrating that voice AI can operate at scale when built for local conditions.
Building Voice AI for Emerging Markets
Founded by Mariama Diallo and Ayooluwa Odemuyiwa, AethexAI was created after the founders spent time working with businesses across Africa and the Middle East and identified a recurring problem. Despite growing interest in automation, many companies were unable to deploy voice AI successfully because available solutions were not designed for the realities of their markets.
As a result, businesses were missing opportunities to improve customer service, increase efficiency and unlock new revenue opportunities.
“Voice is already how businesses operate across emerging markets, but the technology behind it hasn’t kept up,” said Mariama.
“We kept hearing the same thing from customers: that existing tools simply didn’t work in their environments. That’s why we built our own model stack and infrastructure from the ground up, designed for how these markets actually operate.”
Mariama previously worked in investment banking at Goldman Sachs before joining YC-backed Model ML as its first product and growth hire, where she worked closely with large enterprise customers. Ayooluwa studied computer science at Caltech and built systems across the aerospace industry and at Meta before attending Stanford Graduate School of Business.
The founders left their respective careers to focus on building AethexAI full time and develop a voice infrastructure platform tailored specifically to emerging markets.
Unlike many existing providers, AethexAI rebuilt the voice technology stack from the ground up. The company’s platform combines self-hosted speech models, telephony integration and workflow orchestration through a no-code interface and APIs, allowing businesses to deploy voice agents within existing systems more easily and at a lower cost.
According to Ayooluwa, addressing the challenges required a complete redesign rather than minor improvements.
“Voice AI failed in these markets at every layer of the stack,” Ayooluwa said.
“Latency, cost, poor handling of code switching, and weak performance under packet loss, jitter, and low-bitrate audio in real telecom networks led these systems to break in production. The fix was not incremental. It required redesigning the entire stack.”
Expanding Access to Affordable AI Infrastructure
At the centre of AethexAI’s platform is Kora 1, the company’s proprietary family of voice models. Trained on licensed datasets sourced from call centres, radio stations and content platforms, the models are designed to perform effectively in noisy environments while supporting multiple languages and accents.
The company says affordability is another major advantage. Pricing starts at $0.030 per minute, significantly below many competing services that can exceed $0.10 per minute before additional charges.
Alongside its enterprise offering, AethexAI is launching a developer platform that will allow third-party developers to build voice applications using a single API. The move is expected to support innovation across industries that rely heavily on voice communication.
The company is initially targeting a market of approximately 1.5 billion people across Africa and the Middle East, where demand for customer service automation continues to grow but where global providers have yet to establish large-scale adoption.
Investors believe the company’s approach gives it a strong position in a market with significant untapped potential.
“Voice AI adoption in emerging markets has been constrained, less so due to demand, but rather by infrastructure that was never designed for these environments,” said Walter Badoo, Co-Founder and Managing Partner at 4DX Ventures.
“AethexAI has taken a fundamentally different approach, rebuilding the stack from the ground up for how these markets actually operate. With real production deployments already at scale, the AethexAI team is building what we believe will become the defining voice infrastructure layer for the next billion users.”
AethexAI currently employs 10 people and plans to double its workforce by the end of 2026. With fresh capital, growing enterprise adoption and technology built specifically for local conditions, the company is positioning itself to help businesses across Africa and the Middle East unlock the benefits of voice AI while overcoming challenges that have limited adoption for years.
