Keizer Technologies helps clinical research sites, CROs, and sponsors identify qualified candidates, eliminate manual screening bottlenecks, and achieve target enrollment faster.



The Problem
Finding eligible subjects is only half the battle. Research teams waste hundreds of hours manually searching EHR records, cross-referencing complex protocol criteria, managing fragmented outreach, and conducting phone pre-screenings.
Keizer transforms manual patient discovery into an automated patient screening for clinical trials ecosystem:
Automatically discover qualified candidates by cross-referencing protocol criteria against health datasets.
Connect with potential participants through personalized, multi-channel automated outreach.
Streamline pre-screening with conversational AI tools that deliver ready-to-enroll candidates to study coordinators.
Utilize real-time population intelligence and trial analytics to refine recruitment strategies in real time.
THE KEIZER PLATFORM
Create high-quality clinical trial protocols from source documents with AI-powered authoring, collaborative review, and streamlined protocol management.
AI-Powered Study Setup: Upload your synopsis and supporting documents, while AI extracts the key study details to establish the protocol foundation.
Intelligent Protocol Authoring: Generate a complete, section-by-section first draft using the information and requirements captured from your source documents.
Collaborative Review & Refinement: Enable authors and reviewers to edit, comment, and resolve AI-flagged recommendations with a complete revision history.
Publication-Ready Protocol Export: Finalize your approved protocol and export a professionally formatted Word document ready for submission and study use.
Match complex trial protocols against patient populations in seconds to surface high-probability candidates.
Protocol eligibility matching AI: Instantly parse multi-page inclusion/exclusion criteria against EHR and clinical data.
AI-assisted patient identification: Uncover hidden candidates across unstructured clinical notes and structured records.
Multi-site & multi-study matching: Simultaneously route patients to appropriate active trials across your research network.
Prioritized candidate queues: Deliver ranked lists of candidates directly to study coordinators.
Transform dormant patient databases into active trial participants.
Omnichannel engagement: AI-powered voice agents, SMS, and email workflows tailored for candidate reactivation.
Automated pre-screening support: Conversational qualification workflows operating 24/7.
Smart scheduling: Integrated appointment booking and coordinator handoffs to minimize no-shows.
Turn patient population data into strategic recruitment power.
Feasibility & population insights: Evaluate protocol viability against real-world patient data prior to site activation.
Recruitment performance tracking: Real-time visibility into conversion funnels, drop-off points, and site performance.
From Protocol to Qualified Patient — Powered by AI Automation
Upload study protocols and securely connect your EHR, CTMS, CRM, or clinical data infrastructure.
AI analyzes inclusion and exclusion criteria against patient data to identify qualified candidates faster.
Launch compliant SMS, email, and voice outreach campaigns to engage eligible candidates automatically.
Guide candidates through AI-powered pre-screening while keeping coordinators informed and fully in control.
Deliver prioritized, qualified candidate lists to coordinators and move eligible participants toward enrollment.
Maximize the Value of Your Existing Health Data
Keizer seamlessly integrates with your existing research stack, turning fragmented EHR and clinical datasets into a high-converting recruitment funnel.
Slash manual record screening hours, reduce coordinator burnout, and increase trial participant volume.
Mitigate trial delay risks, validate site feasibility using actual patient density, and gain end-to-end recruitment visibility.
Unlock research opportunities for patient populations through HIPAA/GDPR-compliant AI workflows.