Tilda Research

The length of tasks AI can handle is doubling every 7 months, but Tilda's AI teammates are already performing well beyond this benchmark. Our secret? Laser focus on the specific problem, followed by relentless training and iteration until we achieve true competence. Once your AI teammate reaches this level, you've created an infinitely scalable resource for your organization that adjusts seamlessly to match your business demands. Ready to see what AI that exceeds the curve can do for your team?

The shift to using AI to support site management is having a profound impact on both day-to-day operations at some of our research sites: - One of our site partners in Colorado reduced query close time from 2 weeks to 2 days, despite having more patient visits. In fact, the PI has likened this to the equivalent of hiring 1.5 more full-time staff, and indicated that it had a marked improvement in the staff's satisfaction from reduced stress. - Multiple other research sites around the United States are seeing 90% reductions in source configuration times, and reporting multiple hours saved per day. More detail on both of the above coming soon. In the meantime, here are some other examples of how AI can help empower site staff and deliver real-world improvements. Streamlined Operations: AI automates repetitive tasks like data entry and regulatory document updates (e.g., Form 1572 and delegation of authority logs), reducing errors and saving time. Faster Recruitment and Screening: By querying medical records intelligently, AI helps sites identify eligible patients more efficiently, speeding up recruitment. Improved Patient Care: With less administrative burden, coordinators can dedicate more attention to patient needs, improving the overall clinical experience. Simplified Workflows: AI consolidates fragmented systems into a unified interface, reducing the need to switch between platforms and making the entire process more intuitive. Better Compliance: Automated live document updates and reminders ensure sites remain compliant with regulatory requirements. On-Time Payments: AI can even automate invoicing, ensuring sites get paid accurately and on schedule—a long-standing frustration for many. If you want to learn more about AI teammates for clinical research, please be sure to follow Tilda CEO Ram Yalamanchili and Chief Growth Officer Gaurav Bhatnagar.

Incredible results: 90% drop in query burden reported by one of our research sites after turning on AI teammates, despite having more patient visits.

?? How One CRO Transformed Clinical Trials with Tilda’s AI Teammates ?? Clinical trials are complex, and operational inefficiencies can drain both time and budgets. But what if AI could change the game? One of our partner CROs onboarded Tilda’s AI teammates—Project Manager, Regulatory Associate, Data Manager, and Quality Monitor (CRA)—to support a multi-site study. The results? Game-changing efficiencies: ? 80% reduction in non-billable costs – freeing up resources for high-value activities ? 50% reduction in study setup and ongoing management costs – improving margins while maintaining quality By leveraging AI teammates, this CRO streamlined workflows, reduced administrative burdens, and delivered faster, more cost-effective trials for sponsors. ?? AI isn’t replacing teams—it’s empowering them. Ready to see the impact? Let’s talk. #ClinicalTrials #AIinResearch #Efficiency #TildaAI

For years, clinical trial sites have grappled with digital technologies that, more often than not, felt like added burdens rather than solutions. Now, with AI-driven tools emerging as true operational partners, there’s a promising shift on the horizon. These AI teammates not only have the potential to simplify complex processes but could finally turn longstanding challenges into opportunities for innovation and efficiency. Congratulations Tilda Research! #AI #clinicalresearch #clinicaltrials #studyfeasibility #patientrecrutiment #clinops

Biopharma companies are increasingly recognizing the transformative potential of AI to streamline clinical trial operations, enhance study oversight, and optimize outcomes. Check out how AI teammates are supporting sponsors in their mission to bring treatments to patients.

For years, clinical trial sites have grappled with digital technologies that, more often than not, felt like added burdens rather than solutions. Now, with AI-driven tools emerging as true operational partners, there’s a promising shift on the horizon. These AI teammates not only have the potential to simplify complex processes but could finally turn longstanding challenges into opportunities for innovation and efficiency. Congratulations Tilda Research! #AI #clinicalresearch #clinicaltrials #studyfeasibility #patientrecrutiment #clinops

Do AI teammates impact patient recruitment? How difficult are they to integrate? Do they help with compliance and protocol amendments? We've answered some of the most commonly asked questions by sponsors. Take a look. And if you want to learn more about AI teammates for clinical research, please be sure to follow Tilda CEO Ram Yalamanchili and Chief Growth Officer Gaurav Bhatnagar.

Check out this month's Breaking Protocol newsletter, where we share some interesting data from clinical research sites using AI teammates, thoughts on how to increase the number of sites participating in a study, and more.

The Future of Clinical Trials is AI-Native The clinical trial industry has long been burdened by complex workflows, inefficiencies, and high costs. But now AI is rewriting the rules. At Tilda, we’ve built an AI-native automation platform that streamlines 800+ unique clinical trial workflows using AI teammates. This isn’t just an efficiency play but also a paradigm shift for sponsors and sites. We’ve seen this in action at some of our sites and sponsors using Tilda today ? Small but mighty teams – AI-driven workflows reduce reliance on large operational teams, enabling faster, more cost-effective trials. The new paradigm favors small, highly capable teams that leverage AI to outcompete larger, slower organizations. Efficiency (magic) per employee, rather than headcount, will be a critical measure of success. ? AI-enhanced decision-making – Optimized site selection, patient recruitment, and protocol execution reduce trial delays. ? Agility over bureaucracy – AI-native automation adapts in real time, eliminating bottlenecks in trial execution. Tilda’s AI-powered automation is more than just an enhancement. It’s the foundation for next-generation clinical research. The question isn’t if AI will transform clinical trials but who will lead the change.