
DropStat
AI-powered staffing supply chain management platform for the healthcare industry, optimizing scheduling, filling shift gaps, and reducing labor costs.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor | €0.0 | round |
N/A | €0.0 | round | |
* | $5.2m | Seed | |
Total Funding | 000k |
USD | 2021 | 2022 | 2023 |
---|---|---|---|
Revenues | 0000 | 0000 | 0000 |
% growth | - | 500 % | 42 % |
EBITDA | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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An AI-powered workforce automation platform for healthcare organizations to manage staffing shortages, reduce labor costs, and improve team retention.
DropStat's platform integrates with existing scheduling and payroll systems to provide a comprehensive solution for staffing supply chain management. The company's algorithms identify and fill both chronic and urgent shift gaps with the most qualified and cost-effective staff members, whether they are internal employees or external agency staff. This helps healthcare facilities to optimize their staffing levels, reduce their reliance on expensive temporary staff, and ensure that they have the right people in the right place at the right time.
The company's business intelligence dashboards provide healthcare organizations with real-time insights into their staffing data, allowing them to make more informed decisions about their workforce. DropStat also offers churn prediction technology and proprietary staffing feedback loops to help healthcare organizations build stronger teams and improve employee satisfaction.
DropStat's target market includes hospitals, health systems, and other healthcare providers. The company's business model is based on a subscription fee for its platform.
Keywords: workforce automation, healthcare staffing, staff scheduling, shift management, labor cost optimization, healthcare technology, AI-powered platform, business intelligence, churn prediction, staff retention