Fairtility: Optimizing IVF Success and Revolutionizing Embryo Analysis with AI
Customer Company Size
Mid-size Company
Region
- Asia
Country
- Israel
- United States
Product
- CHLOE
- Google Compute Engine
- Google Cloud Storage
Tech Stack
- Google Cloud
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Customer Satisfaction
- Digital Expertise
Technology Category
- Platform as a Service (PaaS) - Data Management Platforms
- Analytics & Modeling - Predictive Analytics
Applicable Industries
- Healthcare & Hospitals
- Life Sciences
Applicable Functions
- Quality Assurance
- Business Operation
Use Cases
- Predictive Quality Analytics
- Remote Asset Management
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
About The Customer
Fairtility is a company focused on enhancing In-Vitro Fertilization (IVF) outcomes through the use of artificial intelligence. Their AI-powered solution, CHLOE, is designed to provide data-driven insights into embryo and egg viability, thereby improving the success rates of IVF treatments. Fairtility's clients include IVF clinics worldwide, making remote installation and deployment crucial for scaling their operations. The company has partnered with Google Cloud to leverage its data storage capabilities and suite of data-focused applications, which has allowed them to increase developer efficiency and optimize clinic workflows. Fairtility is based in Israel and operates globally, serving as a transparent AI-based decision support system for IVF professionals.
The Challenge
Assisted reproductive technologies, including In-Vitro Fertilization (IVF), are increasingly common options for those struggling to conceive naturally. In the US alone, 2% of all babies born in 2023 were conceived through IVF, and that number is only set to grow. However, despite advancements in technology, the IVF journey can be physically and emotionally demanding. Multiple treatment cycles are often needed to achieve a successful pregnancy and live birth, making it a significant commitment for those pursuing fertility care. Each cycle requires not only a substantial financial investment but also an emotional toll on individuals and couples. It also represents a considerable commitment of resources and staff time for IVF clinics.
The Solution
Fairtility's AI-powered IVF solution, CHLOE™, empowers IVF professionals with insights into embryo viability, improving treatment outcomes, and reducing the number of IVF cycles required for a live birth. CHLOE™'s actionable insights are garnered from thousands of data points, requiring vast data storage capabilities, along with architecture that supports their in-house analysis models. Because Fairtility's clients include clinics worldwide, remote installation and deployment were crucial for scaling. Google Cloud served as Fairtility’s foundation for developing and designing CHLOE™, facilitating deployment across 100 global IVF clinics, and enabling remote support for its international customers. Google Cloud was a natural partner for Fairtility due to its data storage capabilities, large suite of data-focused applications, and developer-friendly interface. With essential infrastructure services and solutions already present within Google Cloud, Fairtility increased developer efficiency by 50%.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Hospital Inventory Management
The hospital supply chain team is responsible for ensuring that the right medical supplies are readily available to clinicians when and where needed, and to do so in the most efficient manner possible. However, many of the systems and processes in use at the cancer center for supply chain management were not best suited to support these goals. Barcoding technology, a commonly used method for inventory management of medical supplies, is labor intensive, time consuming, does not provide real-time visibility into inventory levels and can be prone to error. Consequently, the lack of accurate and real-time visibility into inventory levels across multiple supply rooms in multiple hospital facilities creates additional inefficiency in the system causing over-ordering, hoarding, and wasted supplies. Other sources of waste and cost were also identified as candidates for improvement. Existing systems and processes did not provide adequate security for high-cost inventory within the hospital, which was another driver of cost. A lack of visibility into expiration dates for supplies resulted in supplies being wasted due to past expiry dates. Storage of supplies was also a key consideration given the location of the cancer center’s facilities in a dense urban setting, where space is always at a premium. In order to address the challenges outlined above, the hospital sought a solution that would provide real-time inventory information with high levels of accuracy, reduce the level of manual effort required and enable data driven decision making to ensure that the right supplies were readily available to clinicians in the right location at the right time.
Case Study
Gas Pipeline Monitoring System for Hospitals
This system integrator focuses on providing centralized gas pipeline monitoring systems for hospitals. The service they provide makes it possible for hospitals to reduce both maintenance and labor costs. Since hospitals may not have an existing network suitable for this type of system, GPRS communication provides an easy and ready-to-use solution for remote, distributed monitoring systems System Requirements - GPRS communication - Seamless connection with SCADA software - Simple, front-end control capability - Expandable I/O channels - Combine AI, DI, and DO channels
Case Study
Driving Digital Transformations for Vitro Diagnostic Medical Devices
Diagnostic devices play a vital role in helping to improve healthcare delivery. In fact, an estimated 60 percent of the world’s medical decisions are made with support from in vitrodiagnostics (IVD) solutions, such as those provided by Roche Diagnostics, an industry leader. As the demand for medical diagnostic services grows rapidly in hospitals and clinics across China, so does the market for IVD solutions. In addition, the typically high cost of these diagnostic devices means that comprehensive post-sales services are needed. Wanteed to improve three portions of thr IVD:1. Remotely monitor and manage IVD devices as fixed assets.2. Optimizing device availability with predictive maintenance.3. Recommending the best IVD solution for a customer’s needs.
Case Study
HaemoCloud Global Blood Management System
1) Deliver a connected digital product system to protect and increase the differentiated value of Haemonetics blood and plasma solutions. 2) Improve patient outcomes by increasing the efficiency of blood supply flows. 3) Navigate and satisfy a complex web of global regulatory compliance requirements. 4) Reduce costly and labor-intensive maintenance procedures.
Case Study
Cloud-based healthcare solution for Royal Philips
Royal Philips wanted to launch its cloud-based healthcare solution HealthSuite Digital Platform in China to deliver services to help cope with challenges related to urbanization and population growth. Philips wanted to achieve this goal by combining mobile, cloud computing and big data technologies. To bring this platform and product to market, Philips required cloud computing and local technical service capabilities in China, in addition to a flexible IT infrastructure that could handle user requests.
