What is Tagaroo?

Tagaroo is a web-based tool designed to help researchers label and analyze data quickly and accurately. It focuses on clinical interviews, therapy transcripts, audio, video, and images. The platform uses a method called human-in-the-loop automation. This means an AI assistant named Joey does the first pass of labeling, but a human expert always reviews and approves every suggestion. This approach ensures that data is handled with care while speeding up the overall process.

Benefits

Tagaroo offers several key advantages for researchers and analysts. First, it uses AI to create an initial draft of labels, which saves a significant amount of time compared to doing everything by hand. The AI suggests specific parts of text or images to label and provides a reason for each choice. Second, the tool creates a clear audit trail. Every label is linked directly to the original evidence, such as a specific sentence in a transcript or a region in an image. This makes it easy for supervisors to check the work and understand the reasoning behind each decision. Third, Tagaroo supports many types of data. Users can work with text, audio, video, and medical images. It also includes a library of over 25 validated clinical scales, such as PHQ-9 and GAD-7, so users do not need to build their own from scratch. Finally, the platform includes built-in tools to calculate statistics like Cohen's Kappa and Krippendorff's Alpha, which help teams measure how consistent their ratings are.

Use Cases

Tagaroo is built for teams that need to analyze complex qualitative data. It is ideal for clinical research groups studying patient interviews or therapy sessions. Counseling training programs can use it to evaluate student performance on real cases. Qualitative researchers can apply it to open-ended survey answers or support conversations. The tool also works well for medical imaging analysis, where doctors or researchers need to label MRI scans or other medical images. Because it supports importing existing data archives and exporting results as CSV files, it fits easily into current research workflows. Teams can also use it to run multi-annotator studies where multiple people label the same data to ensure reliability.

Pricing

Tagaroo uses a unique pricing model based on AI usage rather than the number of users. This is different from traditional software that charges per seat.

• Free Plan:This plan is permanent and requires no credit card. It includes starter AI credits, access to standard models, support for two annotators per study, and one study at a time. Users can extract one scale per month.
• Pro Plan:Priced at $29 per month, this tier offers 350 AI credits, access to premium models, support for four annotators, and up to three studies. It also allows ten scale extractions per month.
• Teams Plan:At $99 per month, this option is designed for labs and research groups. It provides 1,500 AI credits, support for fifteen annotators, ten studies, and forty scale extractions.
• Enterprise Plan:This custom plan offers 10,000 AI credits per month and supports unlimited annotators and studies. It includes special data-processing agreements for large organizations.

Users can also buy extra credit packs separately. Students and academic staff receive a 50% discount on the Pro plan for their first year. Collaborators invited to a study do not pay; they use the credits from the study owner.

Vibes

Tagaroo has received positive feedback from users who value its balance of speed and accuracy. Reviewers appreciate that the AI handles the heavy lifting of initial labeling, allowing humans to focus on difficult cases and edge cases. The evidence-linked judgments feature is often highlighted as a major strength, as it provides the transparency needed for rigorous scientific research. Users note that the interface is intuitive and that the ability to upload custom codebooks makes the tool flexible for various research needs. The privacy-focused approach, including a no-signup trial that runs entirely in the browser, has also been well-received by those handling sensitive clinical data.

Additional Information

Tagaroo was founded in 2026 by Dr. Enrique Gutiérrez. The company operates with a strong focus on data privacy and security. All workspace data is hosted in the European Union and processed in compliance with GDPR regulations. The platform includes a built-in tool to de-identify transcripts by removing names, dates, and locations before analysis. While the tool is powerful, the company advises organizations to conduct their own privacy reviews before uploading highly sensitive datasets. The core philosophy of the product is that research quality comes from careful human judgment supported by intelligent automation.