With this service we are able to create user property based rules to allow for targeting in a highly customizable way across all of our microservices and applications, in a compliant, easily manageable, and reliable way, including being able to incorporate experimentation as needed. Teladoc is leading telemedicine and virtual healthcare company. LaunchDarkly was chosen as the solution to this organizational problem/need. The deal is currently pending regulatory approval. Additionally, support for experimentation in conjunction with feature flagging is critical for our team to move quickly and make informed decisions. On July 21st, Amazon announced plans to acquire One Medical, a telehealth and primary care service, in an all-cash deal worth 3.9 billion. We needed a service that can coordinate flags across multiple services and environments without onerous copying of flags between environments, be auditable, PII/PHI-safe, reliable, and performant. See insights on One Medical including office locations, competitors, revenue, financials, executives, subsidiaries and more at Craft.

We found ourselves increasingly in need of a better, more broadly usable feature flagging solution to control feature deployment, increase release safety, and product reliability. One Medical has 5 employees across 2 locations and 1.05 b in annual revenue in FY 2022. Over the years, One Medical's service ecosystem and product development organization has continued to grow and mature.

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