DISTILL Technologies

Distill EDC is an Electronic Data Capture (EDC) system developed by DISTILL Technologies LLC, designed for contract research organisations (CROs), biotech startups, and university research teams running clinical trials on smaller budgets. The platform is built to replace disconnected tools such as spreadsheets with a unified system for data collection, tracking, and analysis, and is positioned as an affordable alternative to traditional EDC systems. It is fully compliant with GDPR, HIPAA, and 21 CFR Part 11.

A core design principle of Distill EDC is that data managers and study teams can configure, design, and publish study forms and workflows without requiring specialist programmers or technical support. The system supports protocol amendments — including form and workflow changes — at no additional cost and without placing a study on hold.

Core Features and Capabilities

• Custom Form Builder: Users can create and customise data collection forms independently using a no-code interface.
• Intuitive Workflow Designer: Study workflows can be designed and adjusted in real time without technical assistance.
• Real-Time Data Collection: Data is captured and accessible in real time across the platform.
• Data Validation Rules: Built-in validation helps reduce errors during data entry.
• Automated Queries and Issue Tracking: The system automates query generation and tracks data issues through resolution.
• Audit Trail and Change Logs: Full audit trails and change histories are maintained for regulatory compliance.
• eSignatures and Approvals: Electronic signature functionality is included to support regulatory requirements.
• Role-Based Access Control: Access to data and functions is managed by user role.
• Offline Data Entry: Data can be entered without an active internet connection.
• Multi-Device Compatibility: The platform works across multiple device types.
• Multi-Language Support: The system supports multiple languages for international trials.
• Real-Time Alerts and Notifications: Users receive automated alerts relevant to study activity.
• Dashboards and Visualisations: Built-in dashboards provide visual summaries of study data.
• Custom Reports and Exports: Reports can be customised and data exported as needed.
• Randomisation: Randomisation functionality is included within the platform.
• Bulk Data Uploads: Data can be uploaded in bulk to the system.
• File Attachments: Supporting documents and files can be attached to records.
• Data Security and Encryption: Data is secured through encryption measures.
• Customisable Branding: The platform can be branded to match organisational requirements.

Target Users and Positioning

• Distill EDC is specifically targeted at smaller organisations and lean teams, including CROs, biotech startups, and academic or university research groups.
• The platform is designed to scale as organisations grow, without the high costs associated with traditional EDC systems.
• The no-code approach is intended to give data managers direct control over study design and management, reducing dependency on programmers and shortening setup timelines.
• Protocol amendments can be handled within a few hours and at no additional cost, without suspending the study.

Compliance and Security

• The platform is compliant with GDPR, HIPAA, and 21 CFR Part 11 regulations.
• Audit trails, electronic signatures, role-based access, and data encryption are among the features supporting regulatory compliance.

Company and Team

• DISTILL Technologies LLC is led by Managing Director Anthony Damian and Vice President Jean-Pascal Rugiero, supported by an operations manager and a client and project manager.
• The team includes developers, DevOps engineers, testers, scrum masters, business analysts, and business development staff.
• The company participates in industry conferences including EUCROF, Scope Summit, AACR Annual Meeting, SCDM Europe, OCT East Coast, CTSS Europe, and Bio 2026.
• Enquiries can be directed to [email protected].

Distill EDC offers a free demo for organisations interested in evaluating the platform for their clinical trial data management needs.