CROs Benefits of using On-Time Trial’s Technology

As a C-Suite executive within a Clinical Research organization, you are well aware of the importance of timely and efficient clinical trials. The success of your organization relies on the accuracy and speed of your trials, making it crucial to partner with a technology solution that can deliver results.

Unlock Optimal Clinical Trial Results with On-Time Trials

Let’s Do Something Better Together!

On-Time Trials is a leading technology provider in the clinical trials space, offering a cutting-edge solution for real time monitoring from an operational perspective for  Clinical Research Organization Services (CROS). The OTT platform streamlines the clinical trial process and helps you to achieve your objectives. With its innovative features, On-Time Trials is designed to optimize trial performance and efficiency, ensuring that your trials are delivered on-time and within budget.

With On-Time Trials, you can rely on a solution that is backed by a team of experts with years of experience in the clinical trials industry. Our team is dedicated to delivering the highest quality results and ensuring your satisfaction.

Superior Monitoring


CROs Benefits of using

On-Time Trial’s Technology


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CRO Executives & Project Managers can drive revenue

By using OTT Motion chart & Intelligent alerts to provide a better service to the sponsors and stand out  from your competitors

  • Manage your sites more effectively using our forward looking analytics and stay ahead of your sponsor
  • Illuminate opportunities at over performing sites to accelerate the trial to finish on time or early
  • Illuminate roadblocks at under performing sites and take action to challenge the protocol design, reduce site goals and engage study start up teams sooner to get your trial back on track
  • OTT does not use any PHI so you can share real-time performance with sites and sponsors to drive enhanced collaboration
CRO Executives & Project Managers can delight their Sponsor by reducing costs

By using On-Time Trial’s Motion chart & Intelligent alerts to FAIL FAST on Protocols that will not make it

  • Illuminate opportunities at underperforming sites to fail the protocol fast once you have harnessed your learnings
  • Take advantage to quickly pivot time, money and resources to your next study
  • Stop non value visits to manage non performing sites and pass those savings to your sponsor
  • Redeploy your monitoring capacity to over-performing sites

CRO Executives & Line Managers can reduce Employee turnover

Improve quality and safety by using our JIT (JUST IN TIME) Machine learning algorithms

  • Our Demand algorithm factors in time for regulatory tasks so when a Monitor visits a site they are confident they can keep their sites in good standing order and always be audit-ready
  • CRAs will appreciate the accuracy of the algorithm so that their Line managers will be able to more effectively manage their team’s work-life balance and keep the CRAs from leaving
CRO Executives & Line Managers can increase CRO Profitability

By using our JIT (JUST IN TIME) Machine learning Algorithms to right-size your headcount and capitalize on dynamic flexing to where the work is.

  • Our Demand algorithm precisely calculates Monitoring demand based on RBM (Risk Based Monitoring) and site recruitment plan
  • As Sites over and underperform, our ML (JIT) Algorithm will automatically create an alert allowing Line managers to flex capacity to take advantage of the high-performing sites

Reduce employee turnover

Our SaaS platform accurately predicts monitoring demand for each specific protocol & creates friendly alerts that help guide CRAs to success

Automated Budget Tool

On-Time Trial’s Machine Learning will suggest relevant values based on real-world evidence, which will prepare a confident budget to ensure profitability

On-Time Trial’s Platform is Proven

On-time will revolutionize the way site visits are scheduled, eliminating non-value-add visits and empowering central teams to monitor remotely. Recapture revenue that would have otherwise been lost from “failing to fail” and underperforming sites