AI voice agents for customer support, sales, and recruitment at scale
Aiphoria builds AI voice agents designed to handle communication-intensive operations—support, sales, payments, and hiring—via outbound calls, email, and messaging. The stack is deeply telephony-native (FreeSWITCH, OpenSIPS, SIP) with modern ML infrastructure (PyTorch, Whisper, FastAPI, Kubernetes), reflecting a company solving both the hard voice-AI problem (ASR/TTS quality, accent robustness) and the operational one (call routing, telecom cost optimization). Active hiring is engineering-skewed with senior-level concentration, and the project mix—LLM evaluation pipelines, telecom integrations, agent frameworks—signals a platform in active evolution beyond single-use agents.
Aiphoria, founded in 2022 and headquartered in Limassol with offices across the UK, UAE, and Cyprus, offers an AI agent platform marketed as virtual employees for high-volume, communication-heavy workflows. The product surface includes voice-first agents capable of placing calls, sending messages, and writing emails, plus a zero-code builder and analytics dashboards for non-technical users to deploy custom agents. The company operates a globally distributed team across 51–200 people with stated expertise spanning 15+ years in AI, ML, speech technologies, and voice systems. Core technical challenges center on call-handling reliability at scale, natural voice synthesis across accents and languages, and cost-effective telecom integration.
Aiphoria's core infrastructure includes Whisper (ASR), FreeSWITCH and OpenSIPS (VoIP/telephony), PyTorch and VITS+HiFi-GAN (voice synthesis), Kubernetes and Docker (orchestration), PostgreSQL and ClickHouse (data), and FastAPI for APIs—deployed across AWS, GCP, and Azure.
Current projects include LLM evaluation pipelines, call handling systems, AI agent process automation, telephony infrastructure modernization, integrations with telecom providers and customer systems, and audio data pipelines—all aimed at improving voice quality, scalability, and cost efficiency.
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