

At Align Turn, we ensure the accuracy and reliability of speech research data through specialized quality assurance. We help validate the quality of the data and verify additional metadata such as transcripts and timestamps, so research teams only train models with the best data.
Poor quality speech data undermines AI development. When models train on inaccurate transcripts, misaligned timestamps, or mislabeled speakers, they learn the wrong patterns and make systematic errors. By catching these issues before training begins, quality assurance protects months of engineering work and ensures speech AI systems perform reliably in the real world.
Work at the intersection of human expertise and AI technology, helping improve how voice AI systems understand speech.
Please reach out to us at contact@alignturn.com if you are interested in working with us.