● Covered by 1 source · 1 reportMedium impact1 neutral
Dataset Released on 542 Failed Digital Mental Health Startups (2000-2026)
Key points
- Dataset includes 542 digital mental health startups that failed between 2000-2026.
- Each entry is coded on up to 18 fields, including business model and funding.
- LLM-assisted classification was used for product and entity types.
- Data suggests payer type (consumer vs. institutional) significantly impacts survival rates.
Comprehensive Dataset on Startup Failures
A new dataset has been made available, cataloging 542 digital mental health companies that ceased operations, were acquired, or pivoted between 2000 and 2026. The data is provided in CSV and JSON formats, along with a rationale for classification labels and a detailed README file.
The dataset includes up to 18 fields for each company, such as business model, funding raised, reason for exit, clinical evidence, and years of operation. It also features four independent classification axes: product type, entity type, care mode, and whether a human clinician was involved.
Insights into Survival Factors
Initial analysis of the dataset reveals that the entity paying for the service significantly correlates with a startup's survival rate. Companies primarily paid by consumers had a 53% failure rate, while those paid by institutional entities (employers, insurers, clinics, hospitals, schools) had a 21% failure rate.
Conversely, the presence of a clinician co-founder did not show a significant impact on exit rates, with both groups having a 47% failure rate.
Methodology and Transparency
The classification of product and entity types was assisted by LLM agents, which read company descriptions and assigned labels based on a fixed taxonomy. The creators acknowledge this as the weakest part of the methodology and have included the written reasoning for every label to allow for independent verification.
Factual fields like funding, dates, and country were sourced from established databases such as Crunchbase, CB Insights, Tracxn, public deadpool databases, app store removals, Ahrefs domain data, and trade press.
Availability and Usage
The dataset is released under a CC BY 4.0 license, encouraging reuse, republication, and building upon the data without restrictions. It is available for download without requiring any form, email, or signup, promoting open access for researchers, entrepreneurs, and analysts interested in the digital mental health market.
✨ This summary was generated by AI from the outlets' reporting listed below. It is not independently verified and may contain errors — check the original sources. How BrevFeed works →
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Reporting from
A new dataset has been released detailing 542 digital mental health organizations that exited the market between 2000 and 2026, including reasons for their failure and various operational metrics. This data provides insights into factors influencing startup survival in the mental health tech sector, such as payer models, which can inform future entrepreneurial and investment strategies.