TrialKit Enterprise Model
Gain access to the entire TrialKit platform and receive volume discounts on your studies
The Enterprise Model empowers sponsor companies to test more products by reducing the cost of clinical trials and CROs to expand their technology capacity to save time and money
The Enterprise Model provides volume-based discounts for organizations that conduct multiple trials concurrently over time.
Why TrialKit Enterprise?
Sponsors
- Make changes and adapt trial designs without the time and cost associated with contract amendments, cross-functional meetings, and fees across multiple vendors
- Standardize on one SaaS platform to reduce the costs of integrating and supporting multiple platforms
- Centralize control of your clinical trial data for R&D and protocol development with AI and predictive analytics
- Integrate branded products into proprietary eClinical platforms to expand product offerings without increasing the cost of development
- Develop robust diversity action plans for sponsors by providing your subject matter with advanced platform capabilities
- Empower your teams with the ability to develop and validate new digital endpoints in decentralized clinical trials
CROs & eClinical Vendors
- Reduce the cost of selecting, integrating, and supporting multiple platforms to meet the sponsor’s protocol requirements
- Adopt a unified web and mobile platform to help sponsors conduct more centralized and decentralized clinical trials through CRO professional services
- Leverage FDORA’s recommendations to reduce patient burden and improve diversity by implementing fully decentralized or hybrid clinical trials for your sponsors
- Become a global eCRO with your own translated and white-labeled web and mobile platform with AWS databases in any country
- Expand your technology offering by white-labeling and integrating our web and mobile platform for centralized and decentralized trials integrated into your platform
- Bundle trials across sponsors to get higher cost savings from volume discounts
- Eliminate data silos and resulting data lakes with a unified web and mobile platform populated internally and externally with centralized and decentralized clinical trial data