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Dataset: Dead mental health startups, 2000-2026, coded on 18 fields

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Why This Matters

This dataset provides a comprehensive overview of 542 digital mental health startups that ceased operations between 2000 and 2026, offering valuable insights into industry trends, common pitfalls, and factors leading to failure. For consumers and industry stakeholders, it highlights the challenges faced by mental health tech companies and underscores the importance of sustainable business models and clinical validation in this sensitive sector.

Key Takeaways

Download the data

No form, no email, no signup. CC BY 4.0 — use it, republish it, build on it.

mh-graveyard-companies.csv — 542 rows, one per company. The main table.

— 542 rows, one per company. The main table. mh-graveyard-companies.json — same data, same field names, as JSON.

— same data, same field names, as JSON. mh-graveyard-labels-rationale.csv — 1,084 rows: the written reasoning behind every classification label.

— 1,084 rows: the written reasoning behind every classification label. README.md — full data dictionary, method, limitations.

— full data dictionary, method, limitations. LICENSE.txt — CC BY 4.0 and the suggested citation.

What is in it

542 digital mental health organizations that left the market between 2000 and 2026 — shutdowns, bankruptcies, acquisitions, pivots and consolidations. Each coded on up to 18 fields: business model, who actually pays, funding raised, reason for leaving, clinical evidence, medical co-founder, revenue model, exit size, country, years of operation.

On top of that, four independent classification axes: what the product is ( product_type ), what kind of organization it was ( entity_type ), whether it replaced a clinician or wrapped around one ( care_mode ), and whether a human clinician was in the loop.

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