Transforming behavioral health research, innovation & care

NeuroBlu's unique suite of solutions combines cutting-edge digital tools with next-generation analytics, making unprecedented innovation possible.


Access insights in just a few clicks

Quickly analyze and gain immediate insight from millions of de-identified electronic health records with NeuroBlu Analytics, a powerful data analytics software.

To improve and optimize patient outcomes, we first need a deep understanding of how care is delivered. Powered by Holmusk's best-in-class behavioral health database, NeuroBlu Analytics organizes and makes available the most important resource to support this understanding—clinical data captured during care delivery.


Delve into unique NeuroBlu Data with an easy-to-use, browser-based interface designed for fast and scalable queries.


Build upon readily available templates to kickstart investigation of research questions, and conduct analyses via no-code tools or an integrated R and Python interface.


Generate insights that will inform your most pressing behavioral health challenges and accelerate your organization’s decision making.


Collaborate seamlessly by sharing projects and insights, enabling your teammates to jump in where you left off.

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NeuroBlu Data is the largest NLP-enriched, de-identified real-world data platform designed for behavioral and mental health.




geographically-diverse health systems


years of longitudinal data

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Our data encompasses over 30 million patients across 20+ years treated in multiple care settings across the United States for behavioral health - inpatient, outpatient, and primary care. Structured fields in NeuroBlu Data include:

Diagnosis codes
Patient demographics
Outcome measures
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NeuroBlu Data also includes insights from unstructured data in the form of clinical notes. Our novel Natural Language Processing approach, NeuroBlu NLP, identifies and transforms unstructured data into structured and analyzable data not otherwise accessible in EHR or claims data. Especially formulated to address the complexity of behavioral health, NeuroBlu NLP models are robust, replicable, and scalable - these models are applicable within disorder groups and across health systems.

Research and Development

Support clinical development and increase success of trial designs.

R&D Strategy

  • Identify patient subsegments with unmet needs, such as opioid use disorder patient with poor outcomes despite being on a treatment regimen.

Clinical Development

  • Significantly accelerate clinical trial recruitment by screening patient characteristics efficiently. For instance, easily identify characteristics of patients with Major Depressive Disorder who display symptoms of anhedonia.
  • Understand characteristics associated with varying levels of severity in patients with Major Depressive Disorder, in order to create patient subsegments to inform trial design for compounds targeting treatment-resistant depression.

Medical Affairs

Derive patient specific insights and population level trends in behavioral health using AI/ML algorithms on large sets of real-world behavioral health data.

  • Compare key endpoints — such as Clinical Global Impression-Severity (CGI-S), Global Assessment of Function (GAF), and side effect burden — for patients on competitor drugs to provide evidence of differentiated benefit.
  • Assess patient-centric endpoints — such as mood, function, and engagement — that can significantly impact outcomes in real-world settings, including treatment adherence, clinician prescription decisions, and overall patient health.
  • Evaluate prescription patterns of off-label drugs for Major Depressive Disorder to identify related behavioral health indications for further clinical evaluation.
  • Guide evidence-driven care to enhance care management for patients at risk and to improve behavioral health outcomes.
  • Produce publications highlighting therapeutic benefit in real-world settings to increase impact factor with key opinion leaders and other health care professionals.

Market Access and HEOR

Evaluate comparative effectiveness of pharmacological treatments in the real world and enable value-based care.

  • Establish cost-benefit by determining comparative effectiveness of treatments beyond standard clinical endpoints, such as hospitalization among patients on different drug formulations (e.g. oral versus long-acting injectable atypical antipsychotics).
  • Measure drug performance in real-world settings and identify opportunities for value-based strategies.
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Customized Support
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Need extra support with NeuroBlu Analytics or NeuroBlu Data? Conduct analyses alongside our team of clinical and data science experts, who can provide support tailored to your needs.


We work alongside your teams to generate evidence that drives forward your organizational goals and creates value.


Whether you need a quick code check, short-term analytics support, or an entire study design, we’re here to ensure you can obtain the insights you need.


We strive to meet publication quality and frequently publish peer-reviewed papers and conference abstracts in collaboration with our research partners.