Scribie is a long-standing transcription platform trusted by customers worldwide, now evolving into an AI-powered, human-in-the-loop system. We’re in the early stages of building deeper machine-learning capabilities across speech recognition, audio processing, and language understanding—moving beyond rule-based and third-party systems toward more ML-driven workflows. Today, our platform blends AI with expert human review to deliver accurate transcription and formatting for legal and enterprise use cases. This gives us access to something rare: real-world audio data, clear quality signals, and human corrections that can be used to guide future ML systems. Our focus over the next phase is to: • Introduce more ML-driven components into our pipeline • Improve quality evaluation and feedback loops • Reduce human effort without compromising accuracy • Build practical ML systems that work with messy, real-world data This is an early but foundational stage. Engineers who join now will help define the problems, choose the approaches, and shape how ML is applied across the platform.
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The Scribie annual revenue was $5.9 million in 2026.
Abhinav Verma is the CTO of Scribie.
146 people are employed at Scribie.
Scribie is based in San Francisco, California.
The NAICS codes for Scribie are [56, 561].
The SIC codes for Scribie are [73, 733].