Oswald: Unlocking the Future of Theranostics Clinical Trial Management & Training with AI

Oswald is the theranostics clinical trials management platform that aims for teams to achieve an efficient workflow and improve therapeutic area education and training, using AI.

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Oswald simplifies clinical trial workflows and education for theranostics

Bringing theranostics innovations to patients is complex and costly. Millions of hours and significant resources are spent on education and clinical trials, but only a fraction of promising therapies make it to the clinic. Unnecessary friction and inefficiency in the process slow down progress.

Oswald helps theranostics teams around the world seamlessly manage complex workflows, education, and trial management, empowering them to accelerate breakthroughs and improve patient outcomes.

What Oswald can do for you

Enhance collaboration across your global clinical trial ecosystem

Theranostics processes require extensive data to flow back and forth between stakeholders, participants, and decision makers. Unfortunately, the lack of transparency in the data flow often inhibits speed of decision making. This, in turn, lengthens the duration of clinical trials, results in unnecessary expenditures, and delays the ultimate delivery of therapeutics to patients.

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Automate processes with modern workflow technology

Paper-based approaches to clinical trial data collection and distribution place significant time, cost, and resource burdens on organizations. They are also prone to errors and may cause rejection by regulatory boards. Quality data exchanges between entities remain difficult and are often costly to implement.

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Built-in compliance with regulatory requirements

Theranostics processes face significant, daily pressure from regulatory requirements. They struggle to address the needs of regulators and remain compliant. Growth in decentralized clinical trials increases the need for oversight of new processes and workflows to ensure compliance.

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Automate processes with modern workflow technology

Paper-based approaches to clinical trial data collection and distribution place significant time, cost, and resource burdens on organizations. They are also prone to errors and may cause rejection by regulatory boards. Quality data exchanges between entities remain difficult and are often costly to implement.

Learn more
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