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AllStripes

AllStripes utilizes a Universal Patient Record powered by PicnicAI to streamline observational research and enhance patient care for rare diseases. The platform reduces research costs by 30-50% and accelerates patient enrollment, achieving a 98% retention rate year over year.

San Francisco, United StatesFounded 201733010K+ followers
Updated 20 months ago

Funding

$60M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

+2
Funding rounds are not available yet.

Founders

Product

Problem

Observational research for rare diseases is often hampered by fragmented patient data scattered across disparate medical records, leading to high research costs and slow patient enrollment. Traditional site-based research models are expensive and inefficient, hindering progress in understanding and treating rare conditions.

Solution

AllStripes offers a Universal Patient Record platform powered by PicnicAI to streamline observational research and improve patient care for rare diseases. The platform aggregates and structures patient data from various sources, creating a comprehensive view of each patient's medical history. By centralizing and standardizing data, AllStripes reduces research costs, accelerates patient enrollment, and enhances patient engagement. The PicnicAI technology improves clinical concept recognition, enabling more accurate and efficient data analysis.

Target Audience

The primary customers are life science companies and researchers conducting observational studies for rare diseases, as well as patients seeking to simplify their care and understand their health journey.

Features

  • Universal Patient Record: Aggregates and structures patient data from multiple sources into a single, comprehensive record.
  • PicnicAI: Employs AI for enhanced clinical concept recognition and data accuracy.
  • Streamlined Observational Research: Reduces research costs by 30-50% compared to traditional site-based models.
  • Accelerated Patient Enrollment: Enables rapid patient enrollment in observational studies.
  • High Patient Retention: Achieves a 98% patient retention rate year over year.
This profile is AI-generated and may contain inaccuracies.