Context Matters More Than Models in AI - How Tryal's knowledge base produces better AI outputs

To get real value from AI-enabled tools, the most important factor isn’t the model — it’s the context. The quality of AI-generated content is directly tied to the quality and relevance of the information you give it.

Even the most advanced AI is constrained by its knowledge. When context is incomplete, outdated, or missing; outputs like drafts, summaries, or insights will reflect those gaps. Curating current, accurate study-specific materials is the single most effective way to ensure reliable, actionable outputs.

At Tryal, we use a secure, study-specific knowledge base built from sponsor-provided documents, spreadsheets, meeting recordings, emails, images and other formats. Tryal’s knowledge base helps accelerate study documentation (with confidence) by engineering key features to provide the best context for AI results. 

Building context, from any format

Context is communicated in a number of different ways so it's important to capture all content that might communicate relevant information about a study such as:

• Protocol/synopsis drafts and updates

• Earlier trial results affecting the current study design

• Meetings about study startup, conduct and best practices

• Emails of draft documents outlining recruitment, eClinical design, IP logistics and other facets of study execution

This context exists in a number of different formats.  Tryal Accelerator is capable of ingesting a wide variety of file types making it easy to incorporate all relevant study knowledge. Supported formats include: 

Document pdf docx txt csv tsv xls xlsx

Images jpg png webp

Audio m4a wav

Video mpeg  mp4 mov avi

Customized and Study-Specific Knowledge

The Tryal Accelerator knowledge base is designed to be highly relevant to your current study by isolating data into a study-specific knowledge base. It allows you to upload and self-select only the procured client knowledge and specific information that pertains directly to the study you are working on. This ensures the information is tailored and context-specific.

Consistent Data Extraction

To ensure the AI returns the most accurate results, it must be provided with the best possible context. The most critical document for any clinical trial is the clinical protocol. If you’ve ever used a LLM to extract data from a protocol, things as simple as the title might come back differently each time.   And when it comes to more complex protocol content, like the schedule of activities, inclusion and exclusion criteria or statistical methods, the variability in results becomes even more pronounced.   Tryal Accelerator has the ability to process and extract meaningful data from a protocol draft or synopsis in a repeatable manner, solving one of the LLM’s most common issues, consistency.  When you upload the protocol, key information is automatically extracted and prepared for use in generating various study documents. These are our proprietary extractors, which can be built and tailored to the client’s needs.  

“Business Intelligence Ready” Study Data

An added benefit of being able to extract discreet pieces of information from a protocol consistently is that the data is now ready to provide accurate useful and aggregate business intelligence.   Our chat function surfaces this ability to the user and allows users to interrogate company study data at the company or study specific level and by any filter you wish to apply; therapeutic area, phase, study design, dosing, etc.

Chatting with your study

Our chat feature allows users to chat with the study knowledge they have procured and uploaded to the study knowledge base.   Want to inquire about number of visits, randomization scheme, site selection, inclusion criteria or stats methods, just ask!

By making it easy to provide the right study context, Tryal Accelerator can produce consistent, high quality study documentation.

Create your own Tryal Accelerator Sandbox here

See the documents we’ve accelerator here