Trially AI

What Trially AI does

Trially is the first AI-native clinical trial platform that matches, engages, and helps enroll patients at breakthrough speed and ~95% accuracy. Trially's HIPAA-compliant AI platform multiplies enrollment, reduces screen fails by 73%, and improves eligibility with ~95% pre-screening accuracy. Their LLM agents fill trials faster, with a 2-6x increase in enrollment rate, 73% fewer screen fails, and 91% less pre-screening time. Trially's IRB-approved agents rapidly pre-screen patients from any clinical data source, fully compliant with HIPAA, SOC 2, FDA 21 CFR Part 11, and ISO 27001. Designed to meet the needs of Physicians, Sites, Sponsors, and CROs, Trially AI empowers users to achieve outstanding results in clinical research. The company is a data science and AI company that brings life-saving treatments to patients faster through HIPAA-compliant agents, believing that AI should create systems that work alongside us, making jobs more insightful and rewarding.

Products

• Trially MatchAn AI platform that instantly matches patients to trials through LLM agents with ~95% accuracy. It allows users to drop multiple protocols and see filter-friendly study criteria cards within 5 minutes, then matches the protocol with the patient population to identify high-quality patient candidates in real-time. It provides insights into why patients qualify, when they are visiting the clinic, and how to focus recruitment strategies.
• Trially CONNECT (Margo)An IRB-approved clinical research agent that converts candidates into trial enrollments. Margo engages patients from pre-screening to enrollment through voice calls, text, and email, reactivating and engaging dormant patient populations. It automates pre-screening, scheduling, and engagement to qualify patients for trials.
• Trially IntelligenceA tool to maximize site selection and study awards by providing provable feasibility. It allows users to create trial eligibility criteria and match it against their patient population to prove feasibility. It offers population analytics to assess demographics, medications, and conditions, and provides Pipeline Radar and built-in alerts for trials that fit unique patient populations.

Key capabilities

• AI-native clinical trial platform
• LLM agents for patient matching and engagement
• HIPAA-compliant AI platform
• IRB-approved agents
• ~95% accuracy in patient matching and pre-screening
• 2-6x increase in enrollment rate
• 73% fewer screen fails
• 91% less pre-screening time
• Rapidly pre-screen patients from any clinical data source
• Compliance with HIPAA, SOC 2, FDA 21 CFR Part 11, ISO 27001
• Instantly match patients-to-trials
• Plug into site's EHR
• Realtime Matching
• Multi-Trial. Multi-Site matching
• Feasibility Analytics (patient counts by demos, meds, conditions)
• Fast Integrations (plug in any source - EHR included)
• Data Enrichment with healthcare data network
• Access Management for segregating sensitive data
• Automated patient engagement (voice call, text, email)
• Automated pre-screening and scheduling
• Apts & Reminders
• Max Randomization (agent targets mostly likely candidates)
• Interruption Handling (agent stops and listens when interrupted)
• Patient Reactivation
• Qualification & Reporting
• Selective Attention (suppress noise, focus on patients)
• Feasibility You Can Prove, Instantly
• Population Analytics (age, gender, race, medications, conditions)
• Pipeline Radar (proactive feasibility recommendations)
• Match Alerts (built-in alerts for best-fit trials)
• Sponsor Tracking (target specific sponsors and TAs)
• Exact Patient Counts
• SuperBD (outreach to sponsors for new awards)

Use cases

• Clinical trial patient recruitment
• Multiplying enrollment rates for clinical trials
• Reducing screen failures in clinical trials
• Improving eligibility accuracy for clinical trials
• Saving time on chart reviews and manual pre-screening
• Augmenting site feasibility with better accuracy
• Saving money on central ad campaigns
• Improving procurement opportunities for research sites
• Expediting approval processes for hospitals
• Harnessing EHR data for research
• Identifying hidden candidates for complex trials
• Converting candidates into trial enrollments
• Engaging dormant patient populations
• Maximizing site selection and study awards
• Proving trial feasibility to win sponsor bids
• Achieving study diversity goals

AI approach

Trially AI uses LLM agents to match, engage, and enroll patients in clinical trials. Their platform, Trially Match, uses AI to instantly identify hidden candidates for complex trials by matching protocols with patient populations. Trially CONNECT features an IRB-approved clinical research agent named Margo that engages patients from pre-screening to enrollment using voice calls, text, and email. Trially Intelligence uses AI for feasibility planning, population analytics, and pipeline radar to help win study awards.

Tech named: LLM agents, AI/ML Engineer, AI/NLP

Industries served

• Clinical Research
• Healthcare
• Pharmaceutical

What it says sets it apart

• First AI-native clinical trial platform
• Breakthrough speed and ~95% accuracy in patient matching and enrollment
• 2-6x increase in enrollment rate
• 73% fewer screen fails
• 91% less pre-screening time
• IRB-approved LLM agents
• Fully compliant with HIPAA, SOC 2, FDA 21 CFR Part 11, and ISO 27001
• Ability to instantly match patients-to-trials through LLM agents
• Significant ROI for research sites (10x ROI, $4M increase in trial awards)
• Centralizes recruitment by plugging into EHRs
• Engages patients from pre-screening to enrollment with an AI agent (Margo)
• Provides provable feasibility to win more study awards
• Focus on creating systems that work alongside humans, making jobs more insightful and rewarding
• Addresses the problem of delayed trials and untapped patient data

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.