You may remember Medable. You won’t recognize our eCOA.
While you’ve been away, we’ve rebuilt the way eCOA gets designed, launched, managed, and changed. Today, Medable combines Studio, AI, automation, and a modern participant experience to take complexity out of eCOA, with results across startup speed, adherence, quality, and global delivery to prove it.
Supercharge your study build.
Medable’s AI capabilities are designed to enhance clinical trial launch by automating and optimizing the eCOA build experience.
Upload any document
Upload any format—PDF, chart, or graphic—and assessment screens are automatically built in seconds. Further refine with the prompt feature or directly in Studio.
Easy prompt interface
Use prompts to generate, edit, and refine the assessment screens of varying complexity and logic in minutes.
Unified clinical trial solutions including eCOA, eConsent, remote monitoring, and connected sensors
eCOA for seamless data collection and oversight
Leverage electronic Clinical Outcome Assessment (eCOA) for accurate, real-time patient-reported data. Simplify workflows, reduce errors, and accelerate your trial timelines. Explore eCOA Solutions →
Take control of your trial
Incorporate eCOA with our advanced DCT features like remote data collection, study notifications, participant reminders, and real-time reporting, and Medable Studio and AI.
Unified clinical trial platform for modern research
From onboarding participants to data visualization, our platform delivers the flexibility and efficiency you need for today’s clinical research demands.
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Launch quickly. Operate intelligently.
1: Connect
Connect your clinical systems to Agent Platform to make faster sense of your data, eliminate manual stitching, and enable real-time data flow for faster decisions.
2: Assist
Use our pre-configured agents to automate filing, proactively identify site risks, generate pre-visit summaries, or build your own agent exactly to your trial’s protocols and needs.
3: Verify
Check your work and get going. Whether you want your agentic teammates to act autonomously or operate with a human in the loop, they move work forward in real time.
4: Evolve
Go beyond static systems with a platform that evolves continuously, with built-in verification and quality assurance designed for clinical development.
Connect your clinical and enterprise systems
Medable connects with the clinical and enterprise tools your organization already uses, right out of the box. Need more? Add the connectors your workflows demand.
- Prebuilt integrations for common clinical and enterprise systems
- Fast onboarding with minimal IT lift
- Flexible connectors that adapt to your workflows
- Secure, compliant data exchange across systems
Say hello to your new agents
Our team of agents for clinical monitoring, TMF management, and PI and audit readiness, make work easier than ever before.
Roadmap to adopting AI agents
The successful integration of AI agents in enterprise operations requires a balanced, deliberate approach. Drawing from recent research in Strategic Integration (SI) and agentic AI adoption within large enterprises, the following best practices help maximize value, manage change effectively, and mitigate common pitfalls. Medable Agent Studio specifically streamlines this process by providing robust tools, no-code simplicity, and built-in compliance and security standards.
The agentic revolution for clinical trials
The latest from Knowledge Center
The age of agentic A complete guide on agents in clinical trials
A complete guide to AI agents in clinical trials, includingwhat they are, the infrastructure they need, where people stay in charge, and how to start. Discover how agentic AI is transforming clinical trials, and what's next. And, learn about ontologies, human-in-the-loop governance, build vs. buy, continuous validation/governance, and more.
What is a forward deployed engineer, and why do today's clinical trials need one?
What exactly is a forward deployed engineer?
If you have spent any time around AI and enterprise software this year, you have probably heard the term FDE, or forward deployed engineer. It sounds like a buzzword, but the role is why we’re able to solve real problems for our clinical trial clients in record time.
Rapid evolution: From digitized to agentified in two years
What does it mean to make meaningful change? More than a decade ago, Medable was founded on a simple premise: bringing treatments to patients faster. What we encountered when we first started was an industry relatively moving at a fixed pace, approving only about 50 new treatments a year on average. This average remained constant since the year 2000, no matter how much R&D investment and new technology got poured in.
As the decade progressed and we developed our data platform, eCOA, eConsent, and Televisit tools, a vision began to take shape. This vision was a series of ambitious goals that we believe we can achieve within our lifetimes: our 1:1:1 vision.
More importantly, we’ve made meaningful, measurable, tested progress towards radically redefining how fast clinical trials can move, and how they can be made easier for every stakeholder involved in them. This rapid evolution of Medable and the industry has been meaningful, with clients in top-10 pharma deploying our latest technologies, helping us take major steps towards accomplishing our 1:1:1 vision.
Frequently asked questions
Agentic AI refers to autonomous, goal-driven AI systems—often called “agents”—that can reason, plan, and act in complex environments with minimal human intervention. In clinical development, these agents can manage and optimize trial workflows such as protocol design, patient recruitment, site coordination, and regulatory documentation. Unlike traditional automation, which follows static rules, agentic AI adapts to new information, learns from trial progress, and proactively orchestrates tasks to keep studies on track and compliant.
AI agents help clinical trials run faster, more efficiently, and with greater quality. By automating repetitive tasks, adapting protocols in real time, and reducing human error, they streamline operations across sites while ensuring compliance and consistency. They also enable more patient-centric approaches by improving communication and engagement, ultimately making it easier to scale complex global trials with fewer resources.
Delivering trustworthy Agent recommendations requires two key elements:
The AI Model – We select and fine-tune models that are purpose-built for life sciences, trained on high-quality, relevant data. This ensures the model understands domain-specific language, context, and regulatory requirements, reducing the risk of inaccurate or irrelevant outputs.
The Agentic Environment & Verification Process – Agents operate in a controlled environment with rigorous validation checkpoints, business logic guardrails, and real-time monitoring. Every recommendation is subject to verification workflows and data quality checks before it’s surfaced to users, ensuring accuracy, compliance, and auditability.