AethexAI, a voice AI infrastructure startup building for enterprises across Africa and the Middle East, has raised £2.2 million in a pre-seed round led by 4DX Ventures, with participation from Enza Capital, Dorm Room Fund, Mojo Ventures, 26 Fund and strategic angel investors including Stanford faculty, telecoms executives and AI researchers from Anthropic. The funding will be used to scale enterprise deployments, expand engineering and go-to-market teams, and deepen product coverage across key regional markets.
Voice remains a primary channel for enterprise customer interaction across emerging markets, yet most voice AI solutions have failed to perform reliably in production. Existing tools struggle with unreliable connectivity, fragmented telephony, high pricing and poor handling of local speech, often making them more expensive than human agents. AethexAI addresses this by rebuilding the voice stack from the ground up for these environments. The platform combines self-hosted, market-localised models trained on proprietary data with fully managed telephony, orchestration and existing workflow integration, delivered through a no-code interface and APIs. Pricing starts from $0.030 per minute, significantly below other providers, which can exceed $0.10 per minute before additional costs.
The platform is powered by Kora 1, AethexAI's proprietary voice model stack, trained on licensed datasets from call centres, radio and content platforms. Kora 1 is designed for noisy environments, multiple accents and languages, and is specialised by dialect. Telephony, interruption handling and retrieval are native to the system. AethexAI is also launching a developer platform, enabling third parties to build voice applications across the region using a single API.
The company is initially targeting a market of 1.5 billion people across Africa and the Middle East, where global providers have yet to deliver at scale. Already live in production, the platform handles up to 15,000 calls a day for a leading West African call centre operator.
Founded by Mariama Diallo and Ayooluwa Odemuyiwa, AethexAI was built after the pair spent time on the ground with businesses across Africa and the Middle East and observed firsthand that existing voice AI models were not built for these environments. Diallo previously worked in investment banking at Goldman Sachs before joining YC-backed Model ML as its first product and growth hire, working closely with large enterprise clients. Odemuyiwa trained as a computer scientist at Caltech, building systems across aerospace and at Meta, before attending Stanford Graduate School of Business. AethexAI currently has a team of 10 and expects to double its headcount by the end of 2026.
Voice is already how businesses operate across emerging markets, but the technology behind it hasn't kept up. 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. With this backing, we're now scaling AethexAI into the leading voice infrastructure platform in these markets.
Voice AI failed in these markets at every layer of the stack. 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. Kora 1 is our family of speech models, specialised by dialect and fully self-hosted. We built and own the data pipeline behind them. Telephony, interruption handling, and retrieval are native to the system, proven and refined through enterprise deployments, not bolted on.
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. 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.
