Apella

Apella

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Apella creates technology to improve the outcome of surgery for patients. Learn more

Launch date
Employees
Market cap
-
Net debt
-
Enterprise valuation
$84—126m (Dealroom.co estimates Dec 2021.)
San Francisco California (HQ)
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DateInvestorsAmountRound
investor

$0.0

round
*

$21.0m

Series A
Total Funding000k

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Apella.io is a tech startup that operates in the healthcare sector, specifically focusing on improving the efficiency and effectiveness of perioperative teams in hospitals and clinics. The company's primary offering is a sophisticated software solution that uses predictive analytics and machine learning to enhance various aspects of surgical operations.

The software provides continuous awareness for perioperative teams, enabling them to work more effectively together. It predicts case and turnover durations, detects operating room events within a minute 99% of the time, and autonomously audits 100% of key safety processes. This helps reduce administrative complexity and staff burnout, leading to improved safety and quality processes.

Apella.io's software also aids in scheduling and utilization, providing answers to complex questions and enabling better future planning. It offers predictive block insights and improves scheduling workflows, allowing for the creation of improved staffing plans with ease. The software has been shown to improve surgery duration predictions by 24% compared to Electronic Health Records (EHR).

The company's clients are primarily hospitals and clinics looking to optimize their operating room efficiency and enhance the overall patient experience. The business model is likely based on a subscription or licensing fee for the software, providing a steady stream of revenue.

Apella.io's software has proven to be beneficial, with data showing valuable insights that have allowed for increased surgical volume in operating rooms. This has helped clients run their operating rooms more efficiently, enhancing the overall patient experience.

Keywords: Healthcare, Perioperative Teams, Predictive Analytics, Machine Learning, Operating Room Efficiency, Safety Processes, Scheduling, Utilization, Staffing Plans, Patient Experience.

Tech stack

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Tech stackLearn more about the technologies and tools that this company uses.