Hit clinical milestones faster by building patient trust with AI video.

Explore Clinical Trial Video Examples

See how our AI videos simplify complex trial information and build crucial trust with diverse patient populations, improving comprehension and engagement.

Learn More

Receive a Tailored Project Plan

Submit your trial's requirements to receive a detailed proposal outlining the scope, timeline, and investment for your AI video initiative.

Learn More

Discuss Your Patient Engagement Challenge

Connect with a strategist to explore how a custom AI video approach can overcome your specific trial communication and trust-building obstacles.

Learn More

The AI Video Revolution in Clinical Trials

Building Patient Trust to Accelerate Medical Breakthroughs

In an era of unprecedented medical innovation, the greatest barrier to progress isn't science—it's human trust. We are pioneering the use of AI-personalized video to bridge this gap, transforming patient communication and accelerating the delivery of life-saving therapies with innovative technology .

The Recruitment Crisis

The clinical trial process is fundamentally broken. A staggering number of trials fail to recruit enough patients, causing devastating delays and financial losses.

This failure is rooted in a deep-seated patient mistrust, fueled by complex, impersonal, and overwhelming information. The traditional, text-heavy approach to patient education, coupled with rising trial complexity , is no longer effective.

Trial Failure Rate

An alarming 85% of clinical trials fail to retain enough patients, halting medical progress.

Hyper-Personalization

Our AI engine tailors video content to each patient's specific condition, learning style, and language, transforming complex data into a personal conversation.

Radical Clarity

Dynamic visuals and simple explanations demystify trial procedures, risks, and benefits, empowering patients to make truly informed decisions.

Human-Centric Empathy

By addressing patient concerns directly and compassionately, our videos build a powerful foundation of trust, a crucial safeguard in an age where medical misinformation can cause anxiety.

AI Video: The Trust Catalyst

We replace dense consent forms and generic brochures with engaging, AI-generated videos that speak directly to the patient. This isn't just a new format; it's a new paradigm for patient engagement, built on a truly patient-centric approach .

By building a bridge of understanding and empathy, we empower patients and provide clinical teams with a revolutionary tool to accelerate their timelines.

Accelerating Every Milestone

Our platform delivers tangible, quantifiable results across the entire clinical trial lifecycle.

50%

Faster Recruitment

30%

Higher Enrollment

25%

Reduction in Drop-outs

Patient Comprehension Levels

Enhancing Informed Consent

Informed consent is the ethical cornerstone of clinical research. Yet, traditional methods often fail, leaving patients confused and anxious.

Our platform ensures true understanding, leading to higher quality consent and more engaged, confident participants. This builds a stronger, more reliable foundation for the entire trial.

Our Intelligent Video Engine

A seamless, three-step process that transforms raw data into personalized, impactful patient experiences.

Data Integration

Securely integrates with clinical trial management systems (CTMS) to access protocol and patient data.

AI Personalization

Our core generative Artificial Intelligence analyzes the data to script a unique, easy-to-understand narrative for each individual patient.

Dynamic Video

The platform dynamically generates a high-quality video with visuals, voiceover, and text, ready for patient viewing.

Projected Market Growth (eConsent)

A Multi-Billion Dollar Opportunity

We are positioned at the intersection of digital health and clinical research, targeting the rapidly expanding eConsent market, which is projected to exceed $3 billion by 2028. Our AI-driven strategies are designed to capture a significant share of this growth by solving the core problem of patient recruitment .

  • First-mover advantage in AI-driven video for trials.
  • Scalable SaaS model for recurring revenue.
  • Clear path to profitability and market leadership.

Our Unfair Advantage

While competitors may use simple AI chatbots , we are redefining communication itself, using advanced safeguards to prevent misuse, such as deepfake technology .

Feature Our AI Video Standard Video eConsent Platforms
Hyper-Personalization
Dynamic Content
Builds Patient Trust ~ ~

Join Us in Shaping the Future of Medicine

By putting patient trust at the center of clinical research, we can unlock a future of faster, more efficient, and more inclusive medical innovation. Let's build that future together.

The 2025 Clinical Trial Impasse

A Crisis of Cost, Complexity, and Trust

A Stark Paradox

The biopharmaceutical industry is seeing a surge in investment, with R&D funding at a ten-year high of $102 billion in 2024.

Yet, this capital hasn't solved deep operational bottlenecks. Trial timelines remain stubbornly long, with an average duration of 9.3 years from Phase I to approval, and the enrollment phase alone consuming 15.9 months .

The Financial Drain of Delays

A single day of delay has severe and multifaceted financial repercussions, from direct expenses to staggering opportunity cost .

Direct Operational Cost

~$40,000

Per Day

Lost Revenue (Average)

~$500,000

Per Day

Lost Revenue (Blockbuster)

~$2.7 Million

Per Day

The Engine of Instability

A primary driver of these costs is the relentless increase in trial complexity . This manifests in more demanding protocols, which directly inflate budgets and breed instability.

70% of clinical trial sites report studies have become more challenging to manage.

Each protocol amendments adds $141,000 to $535,000 in costs, plus timeline disruptions.

The Largest Operational Failure

Financial pressures are direct consequences of the industry's single biggest challenge: patient recruitment . This is not a minor issue; it is the leading cause of all trial delays.

19% of trials are terminated outright due to inability to recruit enough participants.

Average cost to replace a dropped patient is ~$19,500 .

85% Fail to Meet Enrollment Targets

"When patients report feeling anything less than 'very safe,' their likelihood to recommend a provider—a key metric of trust— plummets by more than 50 points. "

The Foundational Trust Deficit

Recruitment shortfalls are not just a marketing problem. Expert analysis reveals a deeper, systemic cause: a pervasive and growing lack of public trust in the industry.

This skepticism creates a formidable barrier, as potential participants are wary, find trials burdensome, or fall prey to misinformation.

Trials with inclusive designs that build trust report 30% higher retention rates.

The Vicious Cycle of Distrust

The industry is caught in a destructive, self-reinforcing feedback loop where operational decisions inadvertently deepen the trust crisis.

This burden is often seen not as scientific rigor, but as a lack of empathy—a sign that patients are being treated as a means to an end, a "guinea pig."

Paying the "Trust Tax"

The staggering financial figures are not just operational costs. They are a tax the industry pays for its inability to build meaningful, trust-based relationships with patients.

TAX RECEIPT: Clinical Development

"Rescue" Recruitment:

Millions per trial

Patient Replacement:

$19,500 per patient

Lost Revenue (Delayed Launch):

Up to $2.7M per day

Investing in trust-building is not an additional cost, but a direct strategy to reduce this tax and deliver a quantifiable return.

The Communication Breakdown

How Traditional Patient Engagement Fails in the Modern Trial Ecosystem

The erosion of patient trust is a direct result of systemic communication failures. In the high-stakes environment of a modern clinical trial, outdated methods are no longer just suboptimal—they are actively detrimental, increasing patient burden and fueling high attrition rates that jeopardize trial success.

The High Cost of Silence

The consequences of poor communication in healthcare are severe, contributing to massive malpractice costs and preventable deaths. This risk is amplified in clinical trials, where patients navigate unfamiliar and complex procedures.

Static, text-based documents fail to bridge this gap, creating a foundation of confusion and mistrust from the very beginning.

Malpractice Costs

$1.7 Billion

Directly linked to communication failures.

Preventable Deaths

~2,000

Annually, due to communication breakdowns.

The First Point of Failure: The ICF

The Informed Consent Form (ICF) is often the first and most significant communication breakdown. These lengthy, legalistic documents are designed for regulatory protection, not patient comprehension.

This initial confusion establishes a negative foundation, eroding trust from the outset.

ICF Comprehension vs. Trial Dropout

Read in Text

Delivered via Video

The Information Retention Gap

Studies on information retention are stark. Individuals retain a tiny fraction of what they read, but an overwhelming majority of what they see and hear when the message is delivered via video .

This gap means critical details about procedures, risks, and schedules are lost, leading to non-adherence, frustration, and patient withdrawal .

The Psychological Burden

Ineffective communication forces patients to manage their own care coordination, generating immense stress and anxiety when they are already vulnerable.

This stress, often a product of logistical confusion and unheard concerns—a phenomenon known as "testimonial injustice"—is a key driver of attrition.

Patients Who Dropped Out

38%

Reported that site visits were stressful.

Patients Who Completed

16%

Reported that site visits were stressful.

Cognitive Overload is the Consequence

Traditional methods neglect the patient's cognitive state. A stressed patient has impaired memory and executive function. Handing them a 50-page legal document is a recipe for cognitive overload.

This overload directly leads to fear, anxiety, and misunderstood expectations—the primary drivers of trial dropout.

The Consequence: Attrition

The direct line from poor communication to patient attrition is undeniable. The average attrition rate across clinical trials is a staggering 30%.

In some studies, this rate can climb as high as 70%, rendering years of research worthless.

A Cascade of Micro-Erosions

A patient's decision to withdraw is rarely impulsive. It's the culmination of small communication failures—the confusing ICF, the stressful visit, the unaddressed question—that accumulate over time.

By the time a patient withdraws, their disengagement began weeks or months earlier. Retention strategies must be proactive, continuously reinforcing trust throughout the entire journey.

Key Preventable Factors in Attrition:

  • Misunderstood expectations about procedures and time commitments.
  • Unaddressed fear and anxiety about the trial process.
  • A simple lack of appreciation for their invaluable contribution.

The New Communications Paradigm

Generative AI Video's Emergence in Life Sciences

To solve the deep-seated problems of cognitive overload and trust erosion, the clinical trial industry requires a fundamental shift. The solution lies in an innovative technology that has reached a critical stage of maturity: generative Artificial Intelligence (AI) video.

Overcoming Communication Barriers

This technology moves beyond static text to enable a new form of communication that is personalized, empathetic, and scalable, offering a direct remedy to the failures of traditional patient engagement.

Cognitive Overload

AI video excels at translating dense, jargon-filled documents into simple, engaging visual explainers, dramatically improving patient comprehension.

Trust Erosion

Empathetic avatars and natural voiceovers build rapport and ensure sensitive medical information is delivered in a calm, reassuring manner.

The 2025 Solution: Generative AI Video

By 2025, generative AI has transitioned from a niche research area to a powerful and widely integrated tool. AI systems have made significant strides in generating high-quality, realistic video content.

This rapid advancement is fueled by massive private funding for generative AI , democratizing video production for clinical trial marketers.

Global Private Investment in Generative AI

Video Production, Reimagined

Critically for the clinical trial marketer, these tools have democratized video production. They can transform simple text descriptions, patient data points, or static images into dynamic, professional-grade videos in a matter of hours or even minutes.

This is achieved at a fraction of the cost and time required for traditional video production.

Core Capabilities for Patient Engagement

The true value of these platforms lies not just in technical prowess, but in a specific set of capabilities that directly address communication challenges.

Hyper-Personalization

By integrating with a CTMS, AI can dynamically insert patient-specific data—name, appointments, dosage—into a master video, turning a generic broadcast into a personal conversation.

Empathetic Avatars

AI generates photorealistic human avatars and natural-sounding voiceovers in 140+ languages, with fine-grained control over tone, pacing, and emotional delivery for a reassuring experience.

Simplifying Complexity

Animation, dynamic text overlays, and clear narration deconstruct complex medical topics, improving patient confidence and adherence.

Real-Time Interactivity

Embed interactive elements like surveys, quizzes, or booking links within the video, enabling a two-way communication flow to gather feedback and confirm understanding.

Proven Impact: A Pharma Market Research Case Study

A 2025 case study highlights a company launching a new biologic for asthma that used AI videos to explain future market scenarios to Healthcare Professionals (HCPs). Instead of slide decks, they created dynamic, visual narratives.

This case study demonstrates the technology's power to engage a sophisticated, time-poor audience and facilitate a more profound level of understanding—a capability directly transferable to patient engagement.

"...prompted deeper conversations with the HCPs, helping them move beyond their current treatment paradigms."
"...made abstract future concepts tangible and concrete, which in turn made the research findings more actionable ."

Achieving Emotional Scalability

The gold standard is the empathetic, one-on-one connection from a clinical research coordinator. AI video allows the emotional tenor of the best human interactions to be replicated and scaled across a global trial.

This isn't about replacing the human element, but augmenting it with a human-in-the-loop model . AI handles the continuous reinforcement of the patient relationship, freeing up site staff for critical, high-stakes interactions.

Map Trial Milestones

Architect a dynamic, automated communication journey.

Identify Data Triggers

Use patient data points as triggers for personalized content.

Script Modular Components

Create video components that the AI will assemble in real time.

A New Strategic Focus: From Content Creation to Conversation Design

The marketer's role evolves from producing a single asset to designing an intelligent system that can have a unique, personalized video conversation with every patient, creating a truly patient-centric experience .

Revolutionizing Recruitment

From Cold Outreach to Warm Invitation

The most significant hurdle in clinical trials is patient recruitment . Traditional methods create friction and anxiety. AI-powered video dismantles these barriers, transforming a cold funnel into a warm, personalized invitation that builds trust from the very first contact.

Hyper-Personalized Video Outreach

Generic ads and mass emails are misaligned with the sensitive nature of healthcare decisions. Hyper-personalized video offers a powerful, one-to-one alternative.

Process: By integrating with patient databases, AI can generate thousands of unique videos. Each message can greet a participant by name, reference their specific condition, and feature a trusted AI avatar of the principal investigator.

Impact: This replaces an anonymous broadcast with a respectful invitation. It shows the patient they are seen as an individual, not a data point.

Patient Callback Rate Increase

+30%

Observed in healthcare contexts shifting from static messaging to personalized video.

Virtual Previews & Investigator Introductions

A major source of anxiety is the fear of the unknown. AI video can demystify the clinical environment and humanize the research team before a patient even commits to a visit.

Demystify the Location

Generate realistic "virtual tours" from prompts or photos, showing waiting areas and exam rooms in a calm, welcoming manner.

Humanize the Team

Create short intro videos with AI avatars of the PI and key staff, putting a friendly face to the names on trial documents.

Lower Anxiety

Proactively address unspoken questions, replacing an intimidating abstract concept with a tangible, human-centered space.

Interactive AI Bots for Pre-Screening

The pre-screening process is a critical drop-off point. Interactive AI Video Bots provide a 24/7, on-demand, and frictionless alternative to static forms or phone calls.

Process: An empathetic avatar embedded on the trial website guides users through a conversational pre-screening, asking key eligibility questions in simple language and providing instant clarification.

Impact: This creates a seamless experience, capturing interest instantly. It can reduce pre-screening time from days to minutes and can lower the manual workload on staff significantly.

90% Less Manual Work

Flipping the Recruitment Funnel

AI video strategies invert the notoriously "leaky" recruitment funnel. The focus shifts from the quantity of impressions to the quality of conversation, leading to higher conversion and less wasted spend.

The Traditional "Leaky" Funnel

The AI Video Model

Pre-Building the Patient-Site Relationship

"The trust between a patient and the clinical staff is a critical predictor of long-term retention."

In the traditional model, relationship-building doesn't begin until the first in-person visit. AI video allows this vital process to start immediately, establishing a positive, trust-based connection before the patient even steps through the door. This pre-existing foundation of trust and familiarity makes the patient more resilient to the inevitable challenges of trial participation, which directly and positively impacts retention rates down the line.

Immediate Engagement

Enhanced Familiarity

Foundation of Trust

Fortifying Retention: The Dynamic Patient Journey

Successfully recruiting a patient is only half the battle. We move beyond a "recruit and forget" model to one of continuous support, creating a personalized communication loop that makes patients feel seen, valued, and empowered.

The Bidirectional Data Loop

Transforming Data Collection into a Care Dialogue

When a patient's reported data triggers an immediate, personalized, and supportive video response, the system is closing the loop. The act of data collection is no longer a chore but a conversation, dramatically increasing the quality and consistency of the data they provide.

A Bulwark of Trust

Combating Misinformation and Ensuring Transparency

Psychological Inoculation

AI video allows us to fight misinformation with content that is simple, emotional, and narrative-driven—anchored in scientific fact.

Radical Transparency

Personalized video explainers show patients exactly how their data contributes to scientific understanding.

The ROI of an AI-Driven Strategy

Translating Patient-Centricity into Financial Value

Faster Time-to-Market

6

Months

Additional Revenue

$500

Million

Direct Cost Savings

$1.28

Million+

Total Projected Value Capture

Roadmap to Integration & The Future

A Phased Approach to Transformative Change

Phase 1: Pilot

Months 1-6

Validate an AI video ICF explainer in a single trial to measure comprehension and generate internal support.

Phase 2: Expansion

Months 7-18

Expand to a full retention blueprint for one therapeutic area, integrating with CTMS/EHR to prove impact on KPIs.

Phase 3: Scale

Months 19+

Establish a Center of Excellence to scale the strategy across the entire portfolio, embedding AI engagement as a core competency.