Timeline to MVP: 30-Day Sprint with Vision Microservices
Yes, you can ship a working computer vision MVP in 30 days — without hiring a team of PhDs or building AI from scratch. This week-by-week guide breaks down exactly how to do it using vision microservices like OCR, background removal, object detection and more. Learn how modern dev teams scope tightly, integrate smartly and launch confidently using modular APIs that deliver real image intelligence out of the box. Whether you're validating an idea or racing to demo day, this sprint plan shows you how to move fast and build smart.
Microservices in AI: Building Scalable Image Processing Pipelines
In an era where visual data drives industries, building scalable and efficient image processing systems is more important than ever. Microservices architecture has emerged as a transformative solution, enabling businesses to handle large volumes of images with flexibility, speed and precision. By breaking down workflows into modular, independently deployable services, microservices streamline tasks like OCR, background removal and logo recognition while ensuring scalability and reliability.
This blog explores the advantages of microservices for AI-driven pipelines, delving into key components, real-world use cases and strategies for blending ready-to-go APIs with custom solutions. Whether you're managing eCommerce catalogs, automating document workflows or moderating sensitive content, microservices offer a powerful framework to meet today’s challenges and prepare for tomorrow’s innovations. Discover how this approach can help you build a future-proof infrastructure that evolves with your business needs.