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Delineate

Emerging

US AI clinical trial design and systematic review automation extracting data from papers and figures at 15x industry speed for two top-10 pharma partners;

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HealthcareWebsiteUpdated March 2026

Company Overview

About Delineate

Delineate is a United States-based AI clinical trial design and biomedical data extraction company — providing pharmaceutical companies, academic research teams, and contract research organizations (CROs) with AI-powered systematic review automation that accelerates the data extraction and evidence synthesis workflows critical for designing better, faster clinical trials in the $10 billion clinical trial design and data services market. Partnered with two top-10 global pharmaceutical companies, Delineate has performed some of the largest systematic-review studies ever conducted in drug development, delivering 15x more processed studies than industry standard timelines and reducing certain study completion times from months to weeks through AI models that extract and analyze data from biopharma research papers, patents, and regulatory documents at scale.

Business Model & Competitive Advantage

Delineate's AI data extraction platform combines custom large language models with computer vision models trained specifically for biomedical literature: the clinical trial design process requires synthesizing evidence from hundreds to thousands of existing clinical studies to understand what treatment arms, dosing regimens, patient populations, and endpoints have already been tested — a systematic review process that traditionally requires teams of PhD-level researchers spending months manually extracting data tables, adverse event rates, efficacy outcomes, and patient criteria from papers. Critically, much of this data is "trapped" in figures and plots (bar charts of efficacy results, Kaplan-Meier survival curves, dose-response graphs) rather than in machine-readable tables — Delineate's computer vision models extract quantitative data from these visual formats with the accuracy required for clinical evidence synthesis. The rigorous quality control processes (automated consistency checks, uncertain extraction flagging for human review) address the clinical-grade accuracy requirements that pharmaceutical companies apply to evidence used for regulatory submissions.

Competitive Landscape 2025–2026

In 2025, Delineate competes in the AI clinical trial design, systematic review automation, and biopharma data extraction market with Sciome (computational toxicology and systematic review, NIH-contracted), Elsevier's Reaxys (scientific data extraction, RELX group), and Scite (AI citation analysis for scientific literature, $7M raised) for pharmaceutical company clinical evidence synthesis and trial design support. The systematic review and meta-analysis market has been one of the highest-value AI application areas in pharmaceutical R&D — the evidence synthesis step that informs trial design decisions (what comparator to use, what endpoint is most sensitive, what dose range to test) has historically been the most labor-intensive and time-consuming pre-clinical research activity. Top-10 pharma partnerships validate Delineate's clinical-grade accuracy for the high-stakes drug development workflows where errors in evidence synthesis could lead to suboptimal trial designs and significant capital waste. The 2025 strategy focuses on expanding the pharmaceutical company partnerships for late-phase trial design support, building the regulatory evidence package automation for NDA and BLA submissions, and growing the platform into real-world evidence (RWE) data extraction from electronic health records.

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Company Timeline

Major milestones in Delineate's journey

Leadership Team

Meet the leaders behind Delineate

Emily Nieves

Co-founder

Jawad Iqbal

CTO

Key Differentiators

Emerging Innovator

Delineate is an emerging player bringing innovative solutions to the Healthcare Tech market.

Frequently Asked Questions

Estimated Visibility Trend (Beta)

Simulated 8-week rolling score

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