Series BHolmusk

Holmusk turns behavioral-health data into real-world evidence

A Singapore-based data-science company building the world's largest behavioral-health real-world database — NeuroBlu — with AI analytics that close the evidence gap in mental-health treatment.

شركة سنغافورية لعلوم البيانات تبني أكبر قاعدة بيانات واقعية للصحة السلوكية مع تحليلات ذكاء اصطناعي لسد فجوة الأدلة في علاج الصحة النفسية.

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  1. The Bottleneck

    What was broken?

    Mental-health treatment runs on thin evidence: fragmented records and subjective endpoints leave providers, payors and drug developers guessing what actually works.

  2. The Move

    Why it worked

    Picked the emptiest shelf in health data — longitudinal behavioral-health records — and fused it with NLP and AI analytics, then rented distribution from a giant EHR vendor instead of building it.

  3. The Trap

    Battle scars

    Real-world data is only as good as its coverage and consent; scaling NeuroBlu depends on partners like Veradigm feeding it cohorts, and buyers (pharma, payors) are slow, concentrated enterprise accounts.

The problem

Prescribing for depression, schizophrenia or addiction still leans on small trials and clinician instinct: real-world behavioral-health records sit scattered across providers in incompatible formats, so nobody can say at scale which treatments work for which patients.

How it works

Holmusk’s NeuroBlu Database pools de-identified behavioral-health clinical data, structures free-text notes with natural-language processing, and serves AI-powered analytics for outcomes research, cohort building and treatment personalization. A data partnership with Veradigm pipes in cohorts of behavioral-health patients and related clinical data, compounding the asset with every partner added. Digital disease-management programs sit on top for direct patient impact.

Pain points

Fragmented psychiatric records, endpoints that rely on self-report and infrequent visits, and pharma pipelines flying blind on real-world effectiveness — against a post-pandemic surge in demand for mental-health care.

Business model

Enterprise data and analytics deals with pharma, providers and payors, plus strategic investments from data-rich partners (Veradigm) that double as supply agreements for the database itself.

Challenges

Coverage is the moat and the risk: NeuroBlu’s value hinges on partners continuing to contribute cohorts under tightening data-privacy expectations, and enterprise sales cycles in life sciences are long. Pure-play digital-therapeutics rivals compete for the same buyer budgets.

Funding

  • Raised: $45M Series B led by Nasdaq-listed Veradigm (announced January 2023) with Heritas Capital, Health Catalyst Capital, Novartis (dRx Capital), Northwell Holdings and other existing investors; earmarked for expanding the NeuroBlu Database.
  • Strategic investment: Veradigm added a further $30M strategic investment (reported October 2023), deepening the data partnership.
  • Total funding of $106.2M reported by Medical Startups directory.

Latest — October 2023

Veradigm’s $30M strategic investment turned the Series B lead into a long-term partner: the EHR giant now contributes cohorts of millions of behavioral-health patients and related de-identified data into NeuroBlu, aiming at a single source of truth for behavioral-health evidence.

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