Protenus vs SAIVA AI
Protenus
Empowering Healthcare to Eliminate Risk
106 employees · est. 2014 · Baltimore, United States
SAIVA AI
Mitigate clinical risk with Artificial Intelligence by forecasting patient decline and adverse health events
24 employees · est. 2018 · Mountain View, United States
Protenus is the older company (2014 vs 2018); Protenus is the larger of the two.
Side-by-Side Comparison
| Metric | Protenus | SAIVA AI |
|---|---|---|
| Founded | ||
| Founded | 2014 older | 2018 |
| Headquarters | ||
| Headquarters | Baltimore, United States | Mountain View, United States |
| Employees | ||
| Employees | 106 larger | 24 |
| Industry | ||
| Industry | AI, Analytics, Big Data | AI, Health Care, Machine Learning |
| Funding Stage | ||
| Funding Stage | Series D | Not tracked yet |
| Total Funding | ||
| Total Funding | $57.20M | Not tracked yet |
| Funding Rounds | ||
| Funding Rounds | 6 | Not tracked yet |
| Taxonomy | ||
| Taxonomy | Healthcare CompliancePatient PrivacyDrug DiversionAI In HealthcareHealthcare ITRisk Reduction Solutions +3 | Patient Risk PredictionClinical Data AnalysisEHR AnalysisHospitalization Risk MitigationPredictive AnalyticsPatient Outcomes Improvement +6 |
| Website | ||
| Website | protenus.com | saiva.ai |
About Protenus
Protenus is a healthcare startup that aims to empower the healthcare industry to eliminate risk. Founded in 2014, the company harnesses the power of AI to provide scalable risk-reduction solutions, driving safe patient outcomes and protecting the reputation of healthcare organizations. Protenus has...
About SAIVA AI
SAIVA AI is a Silicon Valley and Research Triangle Park-based startup specializing in healthcare technology. The company's slogan "Mitigate clinical risk with Artificial Intelligence by forecasting patient decline and adverse health events" encapsulates its core mission. SAIVA AI leverages cutting e...
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Compiled from the BounceWatch company index. We last looked at Protenus on 12 Sep 2024, and SAIVA AI on 12 Sep 2024. Where a field is blank here, it means we have not recorded it — not that the answer is zero. How we source and date this.
