Big Sofa Technologies is a pioneer in extracting data from videos at scale in terms of context, behavior and language. It focuses on providing authentic behavioral and experiential data from the places and spaces where life naturally unfolds. To enable its analysis of language, Big Sofa needed integrated transcription functionality, which is an important component of the video data ecosystem.
The Challenge
Accurate transcripts are an important tool for Big Sofa’s data acquisition. Automated and human analyses of the spoken word can identify themes, sentiments, moods, clusters and anomalies. Big Sofa’s data analysis programs often involve personal, sensitive or confidential information. As a result, security and data compliance are top concerns and priorities for the market research tech company.
Martin Chapman
CTO,
Big Sofa Technologies
“We required a provider that can integrate with our workflows and deliver quality outputs at speed, whilst crucially, meeting our high-security standards and those demanded by our clients.”
The Solution
Big Sofa Technologies partnered with Verbit to provide language transcriptions and captions through a secure API. The API allows Verbit to work seamlessly within existing Big Sofa workflows and provides a slick and efficient source of information. The secure API also meets the highest security standards (ISO27001 and 9001 certified) while delivering results quickly and to exacting quality.
Sarah Arnold
Head of Operations,
Big Sofa Technologies
“Verbit (formerly Take Note) is an ideal partner as they align with our security credentials, without sacrificing the quality or speed of outputs. We are able to rely on them to deliver highly accurate transcripts for large volumes of language data. Plus, they’re a pleasure to work with.”
Big Sofa Technologies
Big Sofa Technologies’ AI tools extract valuable data from real-life videos, driving communication, innovation, and growth in businesses. Its market research solution helps brands identify authentic human behavior to better attract and serve customers.
