Fraud Detection · Risk Management
Biodoc needed a more scalable, cost-efficient, and resilient platform for real-time healthcare service authorization and facial-recognition-based patient validation as its customer base grew.
Reported impact
Biodoc reduced infrastructure cost by 30% while gaining more scalable, elastic, and resilient support for facial-recognition and healthcare authentication workloads, improving business continuity and the reliability of real-time patient validation.
Biodoc modernized its healthcare authentication stack by extending its previously AWS-only environment into a multi-cloud architecture that uses Tencent Cloud for AI-heavy identity workflows. The deployment centers on Kubernetes (TKE) to run production and sandbox environments, with GPU-backed compute accelerating facial-recognition models and other AI workloads. PostgreSQL and MongoDB store operational and scalable data, while messaging services support real-time healthcare processing. Tencent Cloud eKYC adds 1:1 and 1:N liveness checks so patient validation can combine facial recognition with stronger anti-fraud identity verification. Rather than replacing everything at once, Biodoc integrated Tencent Cloud with its existing AWS stack to improve elasticity, business continuity, and secure real-time authorization for clinics, hospitals, and healthcare operators.
Healthcare operators send patient-validation workloads into Biodoc services running on TKE. GPU-backed facial-recognition models process the checks, messaging services keep the workflow real time, PostgreSQL and MongoDB persist operational data, and Tencent Cloud eKYC applies 1:1 and 1:N liveness verification before authorization results are returned to clinics, hospitals, and healthcare payers.
Biodoc adopted Tencent Cloud's eKYC services, utilizing 1:1 and 1:N liveness APIs to strengthen identity verification and elevate its core healthcare authentication services.
Biodoc is a Brazilian health tech company specializing in healthcare service authorization through facial recognition and artificial intelligence.
Biodoc needed to ensure availability, performance, and scalability in its healthcare data processing and facial recognition services.
By migrating to Tencent Cloud, Biodoc achieved 30% lower infrastructure costs compared to its previous setup, while gaining greater scalability and processing power to support AI and facial recognition workloads.
The new environment includes production and sandbox deployments on Tencent Cloud, PostgreSQL and MongoDB databases for scalable data management, and messaging services enabling real-time processing.
With Tencent Cloud, Biodoc built a modernized architecture centered on Kubernetes (TKE) for efficient container management, leveraging GPU resources to optimize facial recognition models and AI workloads.
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