Agentic AI made for clinical trials
Unlock a better way to run trials. Agents help with the manual work, coordination, and day-to-day friction so teams can focus on moving studies forward and making faster decisions.
Built specifically for clinical development with deep GxP, regulatory, and operational expertise, Agent Platform helps run better trials so you can find cures faster.
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
Real-time clinical trials are here. Medable was built for them.
Real-time clinical trials are here. Medable's continuous trial management platform gives sponsors the evidence generation, agentic AI, and regulatory-ready infrastructure to run clinical programs at the speed the FDA now expects.
Key criteria for evaluating AI and agentic AI clinical trial vendors
Artificial Intelligence is rapidly transforming clinical research. From patient recruitment and protocol design to medical writing and data review, AI-powered solutions are becoming embedded across the clinical development lifecycle. More recently, the emergence of Agentic AI (systems capable of planning, reasoning, and executing multi-step workflows with varying degrees of autonomy) has generated significant excitement throughout the industry.
However, not all AI solutions are created equal. While many vendors promise dramatic improvements in efficiency and productivity, clinical trial organizations operate in one of the most highly regulated environments in the world. Success depends not only on technical performance but also on compliance, validation, governance, security, and trust.
As sponsors, CROs, and technology teams evaluate potential AI partners, they need a framework that extends beyond traditional software procurement criteria. The following considerations can help organizations assess both AI and Agentic AI vendors and identify solutions that are truly ready for clinical research.
The new blueprint for oncology trials: agility, consistency, and scale
Oncology has never been in a better scientific position. Precision medicines, adaptive study designs, and biomarker-driven cohorts have opened up treatment possibilities that simply did not exist ten years ago. But the complexity of running these trials has grown at much the same pace as the science itself, and that gap between scientific ambition and operational capability is where many programmes quietly struggle.
For sponsors building oncology portfolios, and for the CROs executing them, the operational challenge is no longer a peripheral concern. Getting it right comes down to three things: being consistent enough to build efficiently, agile enough to adapt when the science changes, and scalable enough to manage a growing portfolio without the overhead growing at the same rate.
Medable has worked with sponsors and CROs across many global oncology programmes, spanning thousands of sites and participants. That experience has given us a clear picture of what separates programmes that move well from those that get stuck.
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.