What challenges did BrightInsight face before AI implementation?

Need for a secure, compliant digital health platform supporting CE-marked and FDA-regulated medical devices and combination products. High volume and low-latency API management to handle data transmission securely and reliably from IoT medical devices and apps. Requirement for rapid time to market and scalable, manageable solution for biopharma and medtech customers.

What was the impact of the AI solution?

Accelerated time to market for customers in regulated biopharma and medtech markets. Handled over 20 million API calls per day with average response time under 0.5 seconds. Improved patient adherence and engagement through actionable data insights. Provided a secure, scalable platform managing complex regulatory requirements effectively.

Source

GCP

BrightInsight Medical-Grade IoT Platform on Google Cloud Enhances Pharma and Medtech

Use case typeAI development platformUpdated Jun 13, 2026

BrightInsight provides a regulated digital health platform for biopharma and medtech companies to support CE-marked and FDA-regulated devices, combination products, and apps with secure data capture, transmission, and analysis. Built on Google Cloud with Apigee API management, Google Kubernetes Engine, and BigQuery, BrightInsight handles over 20 million API calls daily with sub-0.5 second response times, delivering secure, compliant, scalable services for digital health. The platform enables pharma and medtech companies to optimize therapies, manage regulatory requirements, and accelerate time to market with a focus on patient adherence and engagement through integrated data and actionable insights.

Organization: BrightInsight
Industry: Healthcare
Location: United States

Reported outcomes

0.5 seconds

timeTime & speed

Strategic outcomes

Risk & complianceBuilt a secure regulated digital health platformSpeed & agilityAccelerated customer time to marketCustomer experience & trustImproved patient adherence and engagementScale & capacitySupported scalable high-volume API management

Primary read

Use case focus

Showing 2 of 2

1IoT platform for digital health
2API management for regulated health data

Need for a secure, compliant digital health platform supporting CE-marked and FDA-regulated medical devices and combination products.
High volume and low-latency API management to handle data transmission securely and reliably from IoT medical devices and apps.
Requirement for rapid time to market and scalable, manageable solution for biopharma and medtech customers.

Built microservices and API management layer using Google Cloud Apigee, Google Kubernetes Engine, and BigQuery for high availability and performance.
Implemented platform with strong compliance, security, privacy features, and global regulatory adherence including HIPAA and GDPR.
Deployed as managed service reducing implementation costs and accelerating customer product launches.

Technologies

Apigee Google Kubernetes Engine BigQuery

Accelerated time to market for customers in regulated biopharma and medtech markets.
Handled over 20 million API calls per day with average response time under 0.5 seconds.
Improved patient adherence and engagement through actionable data insights.
Provided a secure, scalable platform managing complex regulatory requirements effectively.

Sources & evidence1

Groundedness: 4/5

Primary source

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Customer evidence