AI-driven conversational platform for customer engagement at scale
Mico builds AI-powered communication solutions for enterprise customer interactions. The tech stack reveals a modern, production-grade infrastructure: Java + Node.js on AWS (Lambda, Kinesis, DynamoDB), with machine learning via PyTorch and a full CI/CD pipeline (GitHub Actions, Terraform). Active projects span real-time segmentation, recommendation engines, time-series forecasting, and media mix modeling — indicating a shift from rule-based chatbots toward predictive personalization. Pain points cluster around scaling event-driven systems and stabilizing distribution infrastructure, which aligns with hiring emphasis on senior engineering and data roles.
Mico is a Japanese software company headquartered in Osaka, operating as a privately held firm in the 201–500 employee range. The company specializes in AI-driven conversation platforms designed to help brands optimize customer interactions through human-like dialogue experiences. The product portfolio, called "Mico AI," targets mid-market to enterprise brands seeking to automate and personalize customer engagement at scale. Engineering-heavy hiring (senior positions across engineering and data) and active work on customer behavior prediction, segmentation engines, and recommendation systems signal a product architecture centered on real-time personalization and campaign optimization.
Mico's core stack is Java and JavaScript/Node.js on AWS (Lambda, Kinesis, DynamoDB, Aurora MySQL). Machine learning uses PyTorch. Infrastructure-as-code runs on Terraform and AWS CDK, with CI/CD via GitHub Actions and monitoring through New Relic and Sentry.
Recent projects include real-time customer segmentation, recommendation engine development, time-series forecasting, media mix modeling, and stabilization of distribution infrastructure to support high-traffic campaigns and large customer bases.
Other companies in the same industry, closest in size