AI for Clinical Trials (Meet Hope)

What it does

• Clinical trial management
• Electronic data capture (EDC)
• Electronic patient reported outcomes (ePRO/eCOA)
• Electronic consent (eConsent)
• Patient recruitment
• Patient engagement
• Site management

Category

Drug discovery and biotech

Built for

Healthcare and life sciences

Users

Biotech, MedTech, Pharma, CROs and 2 more

Public API

Not offered

Not yet disclosed: deployment options, platforms, languages and support channels.

Pricing

Security and compliance

As reported by Curebase, Inc.. Ask for audit reports before you buy.

• 21 CFR Part 11Compliant
• CDISC data standardsCompliant

Reviews

• 

  ITO™ Platform

  by 1910

  Cloud-based end-to-end platform integrating massive multimodal data, frontier AI models, and high-throughput lab automation to deliver small and large molecule drug candidates f...

• 

  AI Agents

  by Enjamb Labs

  Agentic orchestration that coordinates specialized agents across evidence, trial design, statistical programming, and regulatory writing inside one auditable workspace.

• 

  Integrations

  by Invert

  Pre-built connectivity to every instrument, historian, ELN/LIMS, and enterprise data store that matters in bioprocess.

• 

  Numerion Labs Drug Discovery Platform

  by Numerion Labs

  AI-driven drug-hunting superplatform that uses a universal chemistry foundation model (COSMOS), a hyper-scalable enumerator (APEX), and expert optimization algorithms (EXPO) to...

• 

  Quinn

  Scientific evidence synthesis service delivering structured evidence packages for target, indication, biomarker, and trial design decisions on named drug assets.

• 

  Precision medicine

  by Parallel Bio

  Maps of human biology for personalized insights and patient stratification in ways never previously possible.