Solutions for Researchers

Every patient’s story holds valuable signals(replace this word). At scale, Headlamp’s structured data reveals patterns across mood, behavior and clinical history that drive new discovery. With over 160 variables and growing per patient, researchers can unlock insights that shape the future of mental healthcare.

Request research access

Request research access

Request research access

What You Can Discover with Headlamp

Fueling Next Generation Psychiatric Drug Discovery with Real World Data

Despite decades of research, most psychiatric drugs still rely on mechanisms discovered in the early days of modern psychopharmacology. Headlamp helps researchers move beyond these limitations by providing access to rich, multimodal real world data across biologic, behavioral, and clinical domains. This enables the detection of early signals and correlations that may indicate novel patient subtypes or underlying disease mechanisms. Researchers can generate hypotheses grounded in individual-level data and validate them across diverse, real world cohorts.

1. Concept
1. Concept
1. Concept

Headlamp enables researchers to detect early patterns & signals that would otherwise be difficult to capture using traditional datasets.

By analyzing variation in biologic, behavioral, and clinical outcomes across diverse real world populations, researchers can uncover emerging patterns that point to unrecognized subtypes, disease modifiers, or mechanistic pathways.

This shifts discovery from isolated observations to statistically grounded, population-level insights.

Headlamp enables researchers to detect early patterns & signals that would otherwise be difficult to capture using traditional datasets.

By analyzing variation in biologic, behavioral, and clinical outcomes across diverse real world populations, researchers can uncover emerging patterns that point to unrecognized subtypes, disease modifiers, or mechanistic pathways.

This shifts discovery from isolated observations to statistically grounded, population-level insights.

Headlamp enables researchers to detect early patterns & signals that would otherwise be difficult to capture using traditional datasets.

By analyzing variation in biologic, behavioral, and clinical outcomes across diverse real world populations, researchers can uncover emerging patterns that point to unrecognized subtypes, disease modifiers, or mechanistic pathways.

This shifts discovery from isolated observations to statistically grounded, population-level insights.

2. Hypothesis
2. Hypothesis
2. Hypothesis

Headlamp enables researchers to explore electronic health records, patient-reported outcomes, behavioral patterns, basic biology, omics, and signaling pathways to uncover new correlations.

These correlations help identify patient subtypes, disease modifiers, novel mechanisms of action, and targets.

Headlamp gives research teams the tools to generate robust, data-driven hypotheses grounded in real world complexity.

Headlamp enables researchers to explore electronic health records, patient-reported outcomes, behavioral patterns, basic biology, omics, and signaling pathways to uncover new correlations.

These correlations help identify patient subtypes, disease modifiers, novel mechanisms of action, and targets.

Headlamp gives research teams the tools to generate robust, data-driven hypotheses grounded in real world complexity.

Headlamp enables researchers to explore electronic health records, patient-reported outcomes, behavioral patterns, basic biology, omics, and signaling pathways to uncover new correlations.

These correlations help identify patient subtypes, disease modifiers, novel mechanisms of action, and targets.

Headlamp gives research teams the tools to generate robust, data-driven hypotheses grounded in real world complexity.

3. Validation
3. Validation
3. Validation

Headlamp allows researchers to test hypotheses across matched or exploratory cohorts drawn from diverse real world populations.

With access to longitudinal clinical, behavioral, and biologic data, teams can evaluate signal reproducibility, assess consistency across subgroups, and refine patient stratification.

This rapid iteration from concept to validation accelerates early discovery and strengthens confidence before further translational investigation.

Headlamp allows researchers to test hypotheses across matched or exploratory cohorts drawn from diverse real world populations.

With access to longitudinal clinical, behavioral, and biologic data, teams can evaluate signal reproducibility, assess consistency across subgroups, and refine patient stratification.

This rapid iteration from concept to validation accelerates early discovery and strengthens confidence before further translational investigation.

Headlamp allows researchers to test hypotheses across matched or exploratory cohorts drawn from diverse real world populations.

With access to longitudinal clinical, behavioral, and biologic data, teams can evaluate signal reproducibility, assess consistency across subgroups, and refine patient stratification.

This rapid iteration from concept to validation accelerates early discovery and strengthens confidence before further translational investigation.

Power Your Next Discovery with Rich, Multimodal Data

We partner with researchers to accelerate discovery in mental health. With rich data, trusted tools and deep domain support, Headlamp helps you turn bold questions into meaningful breakthroughs.

Learn more

Learn more

Learn more

Our Research Principles

Grounded in Ethics, Inclusion, and Scientific Integrity

Our platform is built with a deep respect for patient dignity, scientific rigor, and equity in access. These values guide every aspect of our work from how data is collected to how it is shared and reused.

Privacy First

All data is de-identified in accordance with HIPAA and protected with strict access controls to safeguard patient identity and health information.

Patient-Centered

We believe patients should know how their data is used. We promote transparency, accountability, and informed engagement throughout the research process.

High Fidelity Data

We transform psychiatric encounters into structured, validated data that supports real world discovery. Every dataset combines biologic, clinical, and behavioral inputs to help uncover new targets with confidence.

Equity at the Core

Our datasets reflect real-world diversity across race, ethnicity, gender, geography, and socioeconomic background. Every dataset is built with health equity in mind.

Collaborative by Nature

We work side by side with researchers, academic institutions, and review boards to ensure alignment around shared goals and transparent practices.