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SPECIALIST ONBOARDING FOR COMPLEX TRIALS

Syntriqa turns fragmented clinical records into fast, evidence-backed onboarding decisions.

 

Using AI to automate patient profiling, eligibility assessment, and document intelligence, the platform structures complex clinical data into clear medical narratives and evaluates patients against trial protocols with full traceability to source evidence.

 

Built for real-world clinical workflows, Syntriqa enables scalable, consistent, and auditable onboarding across complex trials.

The Engine Behind Syntriqa

A person dropping some trial solution into vials

Syntriqa is not a generic
document tool

It is the product of industry-leading data engineering combined with advanced AI tailored for biotech and clinical document processing, developed hand in hand with a late-stage oncology Sponsor. That foundation is what makes it trustworthy in the trials where mistakes are costly.

Industry-leading data engineering

Robust pipelines ingest and normalise the messiest real-world clinical data, from scanned PDFs, handwriting and tables to lab reports and EDC feeds, into a structured, queryable medical narrative. Every value carries full lineage back to its source, so the data is both reliable and defensible.

Biotech-tuned AI,
not off-the-shelf models

Our models are tailored to clinical language, oncology concepts and complex document types. They understand disease-specific detail such as grade, stage, prior lines of therapy and treatment response, preserve clinical meaning during extraction, and map evidence directly to protocol inclusion and exclusion criteria.

Engineered for
the pivotal stage

Traceability, auditability and data governance are built in from the ground up, meeting the standards that registrational, late-stage trials require.

How it Works

From documents to decisions, step-by-step

01

Document Intelligence

Automatically extracts structured data from complex clinical PDFs, including tables, handwriting and scanned images.

02

Patient Profile

Builds a comprehensive profile from medical documents and EDC data, with a timeline of diagnoses, treatments and results, and key oncology characteristics such as grade, stage and treatment response surfaced. Every data point links back to its exact source for full auditability.

03

Clinical Trial Assessment

Evaluates each patient against trial-specific inclusion and exclusion criteria, with evidence-based recommendations and complete traceability.

04

User Portal

A browser-based portal that brings patients, documents, and review workflows together in one place. Every eligibility recommendation is evidence-linked, with reviewer sign-off captured in a fully auditable decision trail.

In complex, late-stage drug development, time is the most expensive constraint

5 - 6 hrs to mins

Per-patient review

1 day to mins

Eligibility vs. full criteria

~1 yr earlier

Pivotal readout (PIVOT-006)*

0 added FTEs

Scale onboarding capacity

*Topline Phase 3 readout for our partner CG Oncology's PIVOT-006 trial, pulled forward nearly one year on the strength of rapid enrolment. This is the late-stage bottleneck Syntriqa is built to remove.

FOR PHARMA / BIOTECH SPONSORS

Reach your value inflection sooner

  • Pull pivotal readout forward, accelerating financing milestones, filing and time to market.

  • Run larger, more complex late-stage programmes with the lean team you already have.

  • De-risk endpoints with cleaner cohorts and audit-ready, traceable decisions.

  • Compete harder for eligible patients with faster, sharper screening.

Green singular molecule floating
Blue molecules on a helix floating on a green background

FOR CROs

Win more work, and deliver it
at higher margin

  • Differentiate bids with a credible, demonstrable speed advantage in complex trials.

  • Raise throughput per study without linear growth in expensive headcount.

  • Scale across multiple Sponsors and trials from one consistent platform.

  • Strengthen Sponsor relationships with transparent, traceable feedback loops.

Ready to explore more?

Faster enrolment, stronger patient selection, and a more efficient operating model for modern clinical development.

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