The startup develops a visual knowledge platform that combines human intelligence and machine learning to quantify outcomes from aesthetic procedures. This technology provides timely visual analysis without the need for expensive proprietary hardware, making it accessible for practitioners in beauty and aesthetic medicine.
Funding
$4.3M 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.
Founders
Product
Problem
Traditional visual research methods relying on Contract Research Organizations (CROs) are often expensive, slow, and lack control over the measurement process. These methods depend on specialized hardware systems, require participants to visit facilities multiple times, and provide delayed, unclear data.
Solution
Pictoria Systems offers a visual assessment platform that utilizes participants' mobile phones to streamline and enhance visual research. The platform enables researchers to capture guided photos for before-and-after comparisons, communicate directly with participants, and review study progress through a visual diary. Pictoria also facilitates humanized AI image evaluation by leveraging company experts, crowd-sourcing, or existing databases to develop custom quantitative review tools and agile scales. This approach allows for rapid, flexible, and efficient data collection and analysis, placing control back in the hands of the research team.
Target Audience
The primary target audience includes researchers in clinical and consumer research, particularly those in beauty and aesthetic medicine, seeking a more efficient and controllable visual assessment platform.
Features
- Mobile communication platform for capturing guided photos and facilitating direct communication with participants
- Visual diary for reviewing images and tracking study progress
- Customizable scales and surveys for agile data collection and analysis
- Humanized AI image evaluation using company experts, crowd-sourcing, or existing databases
- Custom quantitative review tools for in-depth analysis
- Agile scales for tracking shape progress
- Ability to design and control visual measurement and tracking data