AI Protocol Intelligence: Structured Lab Test Extraction in Minutes
Clinials is an AI-powered platform that converts uploaded protocol documents into structured, traceable lab test and analyte lists in minutes. Outputs are grouped by category, organized by timepoint and cohort, and editable for human review. The browser-based tool requires no IT project or API integration and is designed to handle highly variable protocol formats.
Overview
Clinials is an AI-powered protocol interpretation platform that converts an uploaded protocol into a structured, editable list of required laboratory tests and analytes within two to four minutes. Outputs are grouped by category, organized by timepoint and cohort, and linked to relevant source protocol sections for traceability. The platform is designed to handle highly variable protocol formats, reducing manual interpretation effort and speeding the path to downstream laboratory automation.
The same engine is positioned for discovery workflows: enzyme assays, inhibitor screens, and phenotyping SOPs can be transformed into structured, traceable specifications ready to configure LIMS, scheduling, or dispensing systems before samples are touched. The platform is browser-based, so a pilot can run without an API, IT project, or integration. It is intended as a complementary software layer, not a replacement for screening or dispensing hardware.
Technical specifications
- Fast extraction: each protocol is processed in two to four minutes, producing draft output for human review.
- Categorized output: groupings include PK, immunogenicity, safety, genomics, and biomarker categories.
- Structured organization: test requirements are organized by timepoint and cohort, matching the protocol design.
- Source traceability: output items are traceable to relevant sections of the original protocol.
- Editable draft output: human review is supported before results move into downstream systems.
- Browser-based operation: no API integration or IT project is required to run a pilot.
- Variability tolerance: handles different protocol formats and is intended for discovery and clinical workflows.
- Documented efficiency gains: up to 70 percent reduction in document turnaround time for protocol processing.
Technology readiness level
The platform is already applied to clinical trial protocol extraction today, processing broadly variable protocols in a browser-based environment. The discovery workflow extension is offered at pilot-validation stage: a small set of representative protocols would be processed and compared against expert manual review, followed by go/no-go decision points, expansion to additional protocol types, and then integration design for LIMS, scheduling, and dispensing system handoffs. Outputs are intentionally draft-first, so human review remains part of the workflow. Later-stage integration with external systems is planned rather than predetermined. Pilot and co-development are the proposed routes for further advancement.
About Clinials
Clinials is an AI-powered platform designed to streamline clinical trial operations by automating the generation of clinical trial documentation. The platform utilizes agentic AI to ingest protocols, investigator brochures, and other source documents to create review-ready content, including plain-language synopses, patient information sheets, operational summaries, and recruitment materials. By transforming dense trial protocols into structured, traceable, and multilingual outputs, the company aims to reduce manual administrative burdens, improve consistency across global trial operations, and ensure that content remains secure and compliant with regulatory requirements. The system is built for sponsors, clinical research organizations (CROs), and trial sites, allowing for human-in-the-loop editing, version control, and seamless export into various formats.
For clinical research stakeholders, Clinials solves the challenge of translating complex trial data into actionable, patient-friendly communication, which is critical for study feasibility, regulatory review, and participant engagement. By automating content workflows, the platform helps clinical trial teams accelerate startup timelines and improve collaboration across cross-functional departments. The company focuses on the specific niche of trial material communication and operational documentation, distinguishing its purpose-built AI from broader, generic tools. Founded in 2021, the company is recognized for its role in enhancing trial transparency and accessibility, providing solutions that assist in managing trial schedules and stakeholder interaction throughout the entire research lifecycle.
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