Brandfolder: Leveraging Google Cloud for Enhanced Digital Asset Management

• Analytics & Modeling - Machine Learning
• Infrastructure as a Service (IaaS) - Public Cloud

• Cement
• Oil & Gas

• Product Research & Development
• Sales & Marketing

• Building Automation & Control
• Retail Store Automation

• Cloud Planning, Design & Implementation Services
• Training

Brandfolder, a Denver-based company offering digital asset management (DAM) solutions, was seeking to enhance its service offerings to provide high-impact customer experiences and increase its competitive edge. The company was looking to introduce new data-driven features without complicating the user experience. Key to meeting customers' unique business needs and competing in the fast-moving DAM industry was the integration of big data, artificial intelligence (AI), and machine learning (ML). However, Brandfolder needed a public cloud provider that could help it scale its data pipeline cost-effectively while providing access to advanced AI technologies. After trying two other cloud providers, Brandfolder decided to standardize on Google Cloud.

Brandfolder is a digital asset management (DAM) solutions provider based in Denver, Colorado. The company serves organizations of all sizes and industries, delivering a visually elegant DAM platform that empowers marketing professionals to build stronger brand engagement. Many of today's leading companies, including JetBlue, Slack, TripAdvisor, Lyft, and HealthONE, rely on Brandfolder to deliver consistent, organized, and efficient brand experiences. Brandfolder provides an easy-to-use platform that can scale across an entire company with little end-user training, empowering customers to distribute digital assets wherever they are needed. Customers also gain much greater insight into how those assets are used, and how to use them more effectively in marketing campaigns and brand messaging.

Brandfolder moved to Google Cloud, using AI-powered solutions and fully managed cloud services to enable an efficient and focused development team to improve customer experiences. After performing an initial lift-and-shift migration of virtual machines (VMs) onto Compute Engine, Brandfolder built an ML platform using Google Cloud managed services to seamlessly deliver its data products. The platform leverages a range of Google Cloud services including Cloud SQL, Cloud Storage, Cloud Dataproc, Cloud Composer, Cloud Pub/Sub, Container Registry, and Google Kubernetes Engine (GKE). For many general use cases, Brandfolder relies on pre-trained API models from Google Cloud, such as Vision API and Video Intelligence API. When more product- and brand-specific modeling is required, Brandfolder builds and trains custom ML models using its Google Cloud pipeline or Cloud AutoML.

• The move to Google Cloud has made Brandfolder more competitive with the ability to quickly offer custom AI solutions. Google Cloud's security model has helped Brandfolder give existing and prospective customers peace of mind that their data will be protected. The use of Cloud Memorystore has improved application performance for accessing brand assets, providing sub-millisecond data access for production applications. Global private network interconnects between Google Cloud and the Fastly content delivery network (CDN) have dramatically reduced latency, allowing Brandfolder's customers to deliver and update even very large creative assets quickly around the world. Brandfolder also uses Google solutions for real-time collaboration and productivity, further improving employee and customer productivity.

• Helped drive 99% annual business growth, without expanding the development team, by leveraging managed services

• Scaled analytics and data pipeline 50x without a corresponding increase in costs

• Enabled 12x faster time to market for brand-specific ML models