AWS Spatial Computing Blog

Category: Amazon SageMaker

An image of author Sam Bydlon

Simulating Expert Teams with Agentic AI and Amazon Bedrock AgentCore

Introduction Answering technical questions that span multiple specialties is rarely just about finding the right answer. One of the hardest parts is often coordinating the right people to provide it. What if AI could augment this coordination—not by replacing expert teams, but by accelerating their initial research and synthesis? When complex technical questions span multiple […]

An image of author Frantz Logier

A Maturity Level Framework for Industrial Inspection Report Automation

Introduction Vision systems are increasingly being deployed for industrial inspection. Mounted on drones, ground robots, or integrated into fixed and portable monitoring cameras, these systems capture massive volumes of 2D and 3D data that must be processed to yield actionable insights. Advances in computer vision—enhanced more recently by AI and agentic AI—are transforming what was […]

AI-Powered Construction Document Analysis by Leveraging Computer Vision and Large Language Models

TwinKnowledge collaborated with AWS’s PACE team to develop a scalable computer vision and Large Language Model solution that efficiently processes thousands of architectural drawings while maintaining high accuracy, helping to reduce construction document errors and improve project efficiency through AI-augmented human review processes.