DerinTM

is an AI-powered Intelligence Layer for Healthcare

A new standard for understanding health behavior, using adaptive AI conversations to capture lived experience and uncover its drivers at scale, with healthcare-grade safeguards.

Person engaging with Derin

Where do you go when you want to learn more about a health condition?

I learn a lot about holistic treatments on TikTok, I feel more understood there than at the doctor's office

01

Design with Scientific Rigor

Build adaptive conversations grounded in behavioral science and healthcare expertise to uncover the beliefs, motivations, and barriers shaping health decisions.

02

Engage in Human-Like Conversations Anywhere

Reach people across web, messaging, and voice through natural, responsive interactions that build trust and generate depth at scale.

03

Capture Deep Behavioral Signals

Go beyond responses to capture rich behavioral signals from each interaction, revealing how people think, decide, and act in real-world health contexts.

04

Identify Root Causes and Target Action

Apply advanced analytics, including causal modeling and segmentation, to identify root drivers of behavior and enable precise, targeted interventions.

Derin demo
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Person engaging with Derin

Understanding health behavior is hard

Most healthcare decisions are driven by factors that don't show up in data: trust, fear, stigma, perceived risk, cultural norms, and structural and emotional barriers to care.

Surveys reduce these dynamics to predefined answers. Traditional interviews can surface them, but only at a small scale.

Derin changes this.

It acts as an intelligence layer that continuously captures lived experience through human-like AI interactions and translates it into structured, actionable understanding of what people need, how they decide, and where programs may need to adapt.

DerinTManswers healthcare's toughest Qs

Human Depth at Scale

Human Depth at Scale

Behavioral science–driven AI generates natural, adaptive interactions that uncover the beliefs, motivations, and barriers behind health decisions—at scale.

Advanced Analytics for Actionable Insight

Advanced Analytics for Actionable Insight

Derin transforms conversations into structured behavioral signals—applying segmentation, causal analysis, and predictive modeling to identify what drives behavior and how to act on it.

Reach People in Any Context

Reach People in Any Context

Deploy across web, messaging, and voice with flexible, customizable instruments—reaching diverse populations in different contexts, anywhere.

Built for Healthcare, Not Adapted to It

Most AI research tools are built for consumer insights and retrofitted for healthcare. Derin is designed from the ground up for sensitive, high-stakes environments.

Participant Safety First

Safeguards to protect vulnerable populations, including escalation pathways and emotional safety triggers.

Healthcare-Grade Privacy & Security

Data governance aligned with healthcare standards, ensuring participant trust and regulatory compliance.

IRB-Ready Research Infrastructure

Designed to meet the requirements of clinical, academic, and public health research from the start.

Trusted
by Participants

94%

of participants describe conversations as natural

97%

say the conversation helped them reflect on their experiences

94%

report feeling emotionally safe sharing sensitive information

From Responses to Behavioral Intelligence

Traditional
Surveys

  • Predefined questions and fixed responses
  • Reliable—but limited to what is asked
  • Miss the full drivers of behavior

Generic AI
Interviews

  • Conversational, but not scientifically grounded
  • Shallow or inconsistent probing
  • Not designed for regulated or sensitive health research

DerinTM
Healthcare Intelligence

  • Adaptive, behavioral science–driven interviews
  • Captures how people think, decide, and act—not just what they say
  • Identifies root drivers and segments populations for precise action

Driving High Stakes Decisions in Healthcare

Life Sciences

Life Sciences

Adapt trials, evidence, and engagement to real patient behavior. Use in-depth behavioral insight to refine protocols, improve recruitment, and personalize commercial and patient support strategies.

Providers & Health Systems

Providers & Health Systems

Redesign care based on why patients disengage—not just where. Use continuous behavioral feedback to improve access, adherence, and follow-through.

Public Health & Philanthropy

Public Health & Philanthropy

Target interventions based on how communities actually think and decide. Use lived experience to allocate resources and design programs that drive measurable impact.

Academic Research

Academic Research

Move beyond small-sample qualitative studies. Combine qualitative depth with quantitative scale to capture lived experience and behavioral signals at scale with IRB-ready protocols—and translate it into structured behavioral evidence for analysis and publication.

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Case Studies

FAQs

Surveys scale well, but they are locked into the questions they were designed to ask and miss the underlying drivers behind responses. Derin runs at survey-like scale but asks adaptive, conversational follow-ups that probe the “why” — turning lived experience into structured behavioral evidence rather than just percentages.

Generic chatbots are conversational but not built for healthcare research. Derin is purpose-built for it: behavioral science–driven conversations powered by Surgo’s validated CUBES framework, with participant safeguards, IRB-ready infrastructure, integrations with high-quality panels, and analytic outputs designed for research — none of which a general-purpose chatbot provides.

Human-moderated interviews go deep, but they are slow, expensive, and hard to run at scale. Derin adapts and probes like a skilled interviewer but engages far larger samples in a structured, consistent way — delivering depth at survey-grade reach, with outputs that can be analyzed across participants and segments of the population.

Derin can recruit participants through our high-quality panel partners or engage directly with a client’s existing patients, members, providers, or communities. Recruitment strategies are tailored to each deployment, with support for quotas, oversamples, and targeted outreach as needed.

Derin is built with healthcare-grade privacy, security, and participant safeguards. It includes configurable protections for sensitive topics, including escalation pathways and safety triggers to stop the interview. Data is stored in a secure cloud environment with role-based access controls and governance aligned with healthcare and research standards.

Derin is designed not to solicit PII. If participants voluntarily disclose PII during a conversation, it is flagged and removed. This ensures responses remain focused on behavioral insight while protecting participant privacy.

Derin is built to support HIPAA compliance. We work with clients to align deployments with their compliance, security, and governance requirements. Data is stored in our secure cloud environment with role-based access controls. We do not ask questions that directly solicit PII; if respondents do accidentally disclose PII during the course of conversation, this is removed upon detection.

Yes. Derin is designed for sensitive, high-stakes research settings, including work with vulnerable populations. Its tone, safeguards, and conversation design support emotional safety. In prior deployments, 94% of participants reported feeling safe sharing sensitive information, and some participants prefer sharing sensitive experiences with an AI interviewer rather than a human moderator.

Consent is managed as part of the research protocol, similar to other healthcare or academic studies. Participants receive a consent form, can opt in or out, and are clearly informed they are engaging with an AI system. Derin can include simple explanatory materials, such as video, to ensure participants understand how their data will be used.

Bias in Derin can arise from the interview agent asking questions that reflect stereotypes, make inappropriate assumptions, or behave differently across participants. To address this risk, we use carefully designed system prompts with hard behavioral constraints. Staff review outputs and test the system using a wide range of scenarios during development. Together, this is consistent with published safety guidance, which recommends prompt engineering, moderation, and human oversight as application-level safeguards.