Conflu3nce
Personalized Solution for Detecting Cognitive Health Changes
Company Overview
Snapshot
Founded in April 2016 by Tami Ellison, Conflu3nce operates with 1–10 employees. The company has raised $330K across two funding rounds from one investor. In March 2020, Conflu3nce secured a grant from the Jerusalem Development Authority.
Business overview
Conflu3nce is a Health Tech & Life Sciences company focused on the early detection of cognitive health changes. The company develops PICSSi, a minimally-disruptive, on-demand system that addresses cognitive-motor issues for individuals across various ages and conditions, including Alzheimer's disease, traumatic brain injury, Parkinson's disease, stroke, and ADHD. Utilizing patented methods, PICSSi and Stitch and Peel (SnP) technology, the system employs content-rich, dynamic, 3D-like figure-ground image sets to personalize cognitive expression pattern capture and guide users through increasingly challenging interactions for training and remediation. Conflu3nce operates in the Digital Healthcare and Digital Therapeutics sectors, serving global markets with applications in neurology, diagnostics, and rehabilitation.
Company Intelligence Q&A
- When was Conflu3nce founded and by whom?
- Conflu3nce was founded in April 2016 by Tami Ellison.
- What is Conflu3nce's primary focus?
- Conflu3nce focuses on the early detection of cognitive health changes using personalized solutions and patented methods.
- What is PICSSi?
- PICSSi is Conflu3nce's minimally-disruptive, on-demand system designed to address cognitive-motor issues for people with conditions like Alzheimer's disease, traumatic brain injury, and Parkinson's disease.
- What type of funding has Conflu3nce received?
- Conflu3nce has raised $330K across two funding rounds and received a grant from the Jerusalem Development Authority in March 2020.
- What technology underpins Conflu3nce's products?
- Conflu3nce's PICSSi and Stitch and Peel (SnP) technology is based on processes and methods that use content-rich, dynamic, 3D-like figure-ground image sets with manipulable and predictable image properties.