Voice AI assistant for text-to-speech, dictation, and a public TTS API
Speechify builds a consumer voice AI app spanning text-to-speech, voice typing, and an on-screen assistant, now pushing into B2B with a public TTS API and enterprise integrations. Hiring is accelerating and overwhelmingly engineering-focused, with pain points clustered on API latency, uptime, and consumption metering, which signals a shift from app company to developer platform. A multi-cloud footprint across GCP, AWS, and Azure, with Kubernetes and Terraform, backs that infrastructure push.
Speechify, founded in 2017, offers a voice AI assistant that reads documents, webpages, and books aloud, transcribes speech into text, and answers questions using on-screen context. The product runs on Chrome, desktop, iOS, and Android, and keeps libraries synced across devices. The company is privately held, has 51–200 employees, operates remotely from the United States, and hires in the United States, Colombia, India, and Egypt. Beyond its consumer base, it is building B2B offerings that include a public TTS API and enterprise integrations.
Speechify uses TypeScript, Node.js, Python, Kotlin Multiplatform, React, and Redux. It runs on GCP, AWS, and Azure with Docker, Kubernetes, and Terraform, and uses TensorFlow and PyTorch for ML work.
Yes. Engineering makes up most of Speechify's accelerating hiring, mostly at mid-level, with smaller sales and data openings. Roles are open in the United States, Colombia, India, and Egypt.
Speechify is building a public TTS API, payments and subscription APIs, B2B and enterprise integrations, voice agent prototype demos, and go-to-market playbooks for new verticals.
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Speechify's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.