Profility Revenue and Competitors
Employee Data
- Profility has 15 Employees.
- Profility grew their employee count by 25% last year.
Profility's People
Name | Title | Email/Phone |
---|---|---|
1 | Founder & CEO | Reveal Email/Phone |
2 | Founder & CTO | Reveal Email/Phone |
3 | Customer Success Manager / QA Specialist | Reveal Email/Phone |
4 | Customer Relationship & Operation Support | Reveal Email/Phone |
Profility Competitors & AlternativesAdd Company
Competitor Name | Revenue | Number of Employees | Employee Growth | Total Funding | Valuation |
---|---|---|---|---|---|
#1 | $3.5M | 102 | 28% | N/A | N/A |
#2 | N/A | 5 | 0% | N/A | N/A |
#3 | N/A | 53 | 56% | N/A | N/A |
#4 | N/A | 7 | 17% | N/A | N/A |
#5 | $1.7M | 13 | -13% | N/A | N/A |
#6 | N/A | 16 | 23% | N/A | N/A |
#7 | $1.7M | 10 | -23% | N/A | N/A |
#8 | N/A | 10 | 11% | N/A | N/A |
#9 | $7.5M | 77 | 4% | N/A | N/A |
#10 | N/A | 34 | 31% | N/A | N/A |
What Is Profility?
Profility provides technology that enables truly personalized care planning, by optimizing decisions and transitions within a healthcare ecosystem and leveraging existing knowledge about how patients will respond to a particular treatment or pathway. This ability to understand the patient and his or her UNIQUE CHARACTERISTICS is what sets our solution apart.\nOur advanced profiling technology matches patients to clusters of near-clones and then draws on existing data regarding how such patients reacted to treatment/care pathways. Profility looks beyond the average patient to personalize care.\nProfility combines advanced profiling based on big data with proprietary algorithms to discover hidden patterns and previously hard-to-identify groups of similar patients. Big data holds significant promise, but it only works if you can turn data into knowledge, and put that knowledge to work, and that is where Profility comes in. Predictive analytics provides vast potential to improve the way we dig into existing information and apply new knowledge to deliver better healthcare.\nProfility uses advanced profiling to construct homogenous clusters of patients from the bottom up, starting with a specific patient’s individual profile. Patients within each cluster share characteristics, and can thus be used to understand the effectiveness of different treatments and different providers.
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Total Funding
15
Number of Employees
N/A
Revenue (est)
25%
Employee Growth %
N/A
Valuation
N/A
Accelerator
Company Name | Revenue | Number of Employees | Employee Growth | Total Funding |
---|---|---|---|---|
#1 | $1.4M | 15 | 7% | N/A |
#2 | $2M | 15 | -12% | N/A |
#3 | $1.5M | 15 | 0% | $78M |
#4 | $1M | 15 | 0% | $50M |
#5 | $1.6M | 15 | N/A | N/A |