Headlamp Health: Company Profile

Background

Overview

Headlamp Health is a digital health company dedicated to transforming mental healthcare through AI-powered precision psychiatry. Founded in 2021 and headquartered in San Francisco, California, the company aims to equip clinicians, patients, and life science innovators with personalized insights and multimodal data to enhance care delivery, accelerate research, and improve outcomes at scale.

Mission and Vision

The mission of Headlamp Health is to set a new standard for mental healthcare by leveraging precision, data, and purpose. The company envisions a future where mental healthcare is more connected, personalized, and powered by data, leading to clearer decisions and more precise care.

Primary Area of Focus and Industry Significance

Headlamp Health focuses on integrating complex records, wearables, and self-reported data into a unified platform to support clinicians in making faster, more informed decisions. By advancing mental healthcare through precision psychiatry, the company plays a significant role in addressing the growing need for data-driven solutions in the mental health sector.

Key Strategic Focus

Core Objectives

• Enhancing Clinical Decision-Making: Provide clinicians with comprehensive, real-time patient data to facilitate informed treatment decisions.

• Empowering Patients: Offer patients access to their complete health records and personalized insights to actively participate in their care journey.

• Accelerating Research: Utilize aggregated data to support research initiatives aimed at improving mental health treatments and outcomes.

Specific Areas of Specialization

• Precision Psychiatry: Develop tools that enable tailored mental health care based on individual patient data.

• Data Integration: Combine diverse data sources, including electronic health records, wearable devices, and self-reported information, into a cohesive platform.

• AI-Driven Insights: Employ artificial intelligence to analyze complex datasets and generate actionable insights for clinicians and patients.

Key Technologies Utilized

• Artificial Intelligence (AI): For processing and analyzing large volumes of health data to uncover patterns and inform decision-making.

• Data Integration Platforms: To unify disparate data sources into a single, accessible view for healthcare providers and patients.

• Mobile Applications: Facilitate patient engagement and data collection through user-friendly interfaces.

Primary Markets Targeted

• Healthcare Providers: Clinics, hospitals, and private practices seeking to enhance mental health care delivery.

• Patients: Individuals seeking more control and understanding of their mental health information.

• Researchers: Organizations and institutions aiming to leverage aggregated health data for mental health research.

Financials and Funding

Funding History

Headlamp Health has raised a total of $2.4 million in funding.

Recent Funding Rounds

• Seed Round: The company secured $2.4 million in its seed funding round.

Notable Investors

The seed funding round was led by super{set}, a venture capital firm specializing in AI and data startups.

Intended Utilization of Capital

The raised capital is intended to support the development and scaling of Headlamp Health's AI-driven platform, enhance data integration capabilities, and expand market reach to further advance precision psychiatry.

Pipeline Development

As a digital health company, Headlamp Health's pipeline focuses on the continuous enhancement of its AI-powered platform, integrating new data sources, refining analytical algorithms, and expanding features to support clinicians, patients, and researchers in mental healthcare.

Technological Platform and Innovation

Proprietary Technologies

• AI-Powered Analytics Engine: Processes and analyzes complex health data to provide actionable insights.

• Unified Data Integration System: Consolidates diverse data sources into a single, accessible platform.

Significant Scientific Methods

• Machine Learning Algorithms: Employed to identify patterns and predict outcomes based on patient data.

• Natural Language Processing (NLP): Used to interpret and extract meaningful information from unstructured clinical notes.

AI-Driven Capabilities

• Predictive Analytics: Forecast patient outcomes and potential health risks.

• Personalized Treatment Recommendations: Suggest tailored interventions based on individual patient data.

Leadership Team

Executive Profiles

• Erwin Estigarribia – CEO and Board Member

Brings 25 years of executive expertise to advance patient-focused biotech solutions.

• Felice Shieh – Chief Business Officer

Accelerates healthcare innovation through strategic partnerships and corporate growth.

• Manaswini Sugatoor – Co-Founder and Head of Technology

With 20 years of experience, she builds innovative products, develops IP, and scales impactful solutions.

• Vivek Vaidya – Co-Founder, CTO, and Board Member

Drives AI innovation and technology strategy as CTO.

• Ben Rudeen – Operations Lead

An operational leader with a track record of growth in high-impact health ventures.

• Wes Grollmus – Head of Design

Focuses on making complex systems feel effortless through intuitive design.

Board of Directors and Advisors

• Tom Chavez – Chairman, Co-Founder of Super{Set}

Co-founder with over 20 years of experience building AI/data startups, with major exits to Salesforce and Microsoft.

• Travis May – Independent Director, CEO at Shaper Capital & Datavant

Founder/CEO with over 20 years of experience building impactful companies, including Datavant and LiveRamp.

• Dr. Sam Hershkowitz – Advisor, Vice Chairman at Acerus Pharma

Biotech/pharma founder with over 40 years in clinical, regulatory, and commercialization leadership.

• Dina Veytsman, DNP – Advisor, Psychiatric Mental Health NP

Psychiatric NP and DNP-trained leader with over 10 years bridging mental healthcare, tech, and medical affairs.

• Dr. Michael Genovese – Advisor, CMO at Access Telecare

CMO and psychiatrist with over 20 years advancing behavioral health through clinical leadership and telemedicine innovation.

• Dr. Jason Tucciarone – Advisor, Psychiatric Professor at Stanford

Stanford psychiatrist & neuroscientist with over 15 years advancing therapies for mood disorders and addiction.

Competitor Profile

Market Insights and Dynamics

The digital mental health market is experiencing significant growth, driven by increasing awareness of mental health issues, technological advancements, and the need for accessible care solutions. The integration of AI and data analytics into mental health services is a key trend, offering personalized and efficient care options.

Competitor Analysis

• Pear Therapeutics

Focuses on prescription digital therapeutics for mental health, offering software-based treatments.

• Big Health

Provides digital therapeutics for mental health, including sleep improvement and anxiety reduction programs.

• Woebot Health

Develops AI-driven conversational agents for mental health support.

Strategic Collaborations and Partnerships

Headlamp Health collaborates with various healthcare providers, research institutions, and technology partners to enhance its platform's capabilities and expand its reach. These partnerships aim to integrate diverse data sources, validate AI-driven insights, and ensure the platform meets the evolving needs of mental health professionals and patients.

Operational Insights

Headlamp Health differentiates itself through its comprehensive data integration, AI-driven insights, and user-friendly interfaces for both clinicians and patients. By focusing on precision psychiatry and personalized care, the company positions itself as a leader in the digital mental health space, offering solutions that address the complexities of mental health data and treatment.

Strategic Opportunities and Future Directions

The company plans to expand its platform's capabilities by incorporating additional data sources, enhancing AI algorithms, and developing new features to support a broader range of mental health conditions. Opportunities for growth include entering new markets, forming strategic partnerships, and contributing to large-scale mental health research initiatives.