MM Studio

ReliCheck Quala is a native Mac application for qualitative analysis in social, behavioral, and health science research. Bring in interviews, open-ended survey responses, and field notes, then move from raw text to themes you can defend. Build a codebook, code passages, and group codes into themes with the supporting quotes attached to every claim. Quala keeps the evidence trail visible, so you can show a reviewer exactly which passages sit behind each finding, and it tracks trustworthiness criteria including credibility and dependability as you work. The workflow suits a thesis, a dissertation, a program evaluation, or a small team study, and it does not ask you to learn a scripting language first. ReliCheck Intelligence assists with coding suggestions and theme drafting on device, so transcripts and participant text stay on your Mac.

Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.