Compliance & Validation — Documented
ISO 27001, SOC 2 Type II, HIPAA, GDPR, 21 CFR Part 11
AiCure
Smartphone-based computer vision and AI platform for medication adherence monitoring and remote patient engagement in clinical trials.
AiCure, founded in 2010 and headquartered in New York, uses smartphone-based computer vision to visually confirm medication ingestion and monitor dosing behavior in clinical trials, alongside remote patient engagement tools. It raised a $24.5M Series C in 2019. Its data privacy page states that AiCure has received ISO 27001 and SOC 2 certifications, and separately states that its storage of protected health information complies with HIPAA, GDPR, and 21 CFR Part 11 — the latter are conformance statements rather than certifications.
- Headquarters
- New York, United States
- Founded
- 2010
- Compliance
- ISO 27001, SOC 2 Type II, HIPAA, GDPR, 21 CFR Part 11
- Deployment options
- cloud
- Website
- https://www.aicure.com
- https://www.linkedin.com/company/aicure
Categories
AI Use Cases
- Digital/Decentralized Trials
- Medical Monitoring & Safety Review
Vendor Scorecard
64% — Partial coverage. Coverage score — how completely Atlas documents AiCure across 7 buyer-evaluation areas. Reflects available Atlas data, not solution quality.
Deployment & Hosting — Documented
cloud
Pricing Transparency — Not documented by Atlas
Ask the vendor: What is your pricing model, and what drives total cost of ownership?
Implementation & Onboarding — Not documented by Atlas
Ask the vendor: What is a realistic implementation timeline, and what onboarding support is included?
Organization & Role Fit — Documented
Mid-Size Biotech, Large Pharma, CRO / CDMO, Clinical Operations, Data Management
Solution Scope — Documented
Digital/Decentralized Trials, Medical Monitoring & Safety Review
Company Viability — Partially documented
Series C, Founded 2010
Always ask the vendor
Not captured in Atlas data — confirm directly. Excluded from the score above.
Data Rights & IP
Who owns model outputs? Is our proprietary data used to train models others can access, and where does our data reside?
Model Credibility & Explainability
Can you share validation studies or benchmarks, explain how the model reaches its conclusions, and describe how bias and drift are monitored?
Clinical Trial Activity
2 registered trials where AiCure is the lead sponsor. Source: ClinicalTrials.gov, verified 2026-07-29.
Top conditions studied: Addiction, Medication Non-adherence, Opiate Addiction, Opioid Dependence, Stroke
- Using Artificial Intelligence To Monitor Medication Adherence in Opioid Replacement Therapy (NCT02243670, completed)
- Using Artificial Intelligence to Measure and Optimize Adherence in Patients on Anticoagulation Therapy. (NCT02599259, completed)
Questions to Ask This Vendor
- How is ingestion-confirmation accuracy validated, and what is the false-positive rate?
- How do patients without compatible smartphones participate?
- What Part 11 documentation is provided for regulated study use?
- Which therapeutic areas have the most deployment history?