Speechly

Speechly tackled the prohibitive cost of processing speech at scale. ​​‌‌‌‌‌‌‌​‌‌​​‌​​​​​​‌‌​‌‌‌​​​‌‌Companies building voice applications faced a brutal choice: rely on expensive cloud APIs like Google Cloud Speech-to-Text or Amazon Transcribe, which charged per request and created latency issues, or build proprietary models requiring massive ML teams. The problem hit hardest for startups and mid-market companies lacking deep pockets or engineering resources. The pain was measurable—every transcription request added up to thousands monthly, and latency made real-time applications impractical. Existing alternatives were either prohibitively expensive or required years of development. Speechly's on-device processing approach validated early through customer traction in voice command applications and accessibility tools. Companies immediately saw reduced infrastructure costs and faster response times. The fact that hundreds of millions of hours of audio went unprocessed daily due to cost barriers suggested massive untapped demand. Early adopters in mobility and IoT sectors, where bandwidth and latency mattered most, provided clear proof that on-device understanding solved a genuine problem at scale.