AI-augmented customer support and content moderation at global scale
ModSquad operates a human-AI hybrid model for customer support, content moderation, and trust & safety across 10,000+ employees distributed across 16+ countries. The tech stack reveals a data-first posture: Snowflake + Python + SQL for centralized analytics, Matillion for ETL, and ThoughtSpot for BI — while active projects around audio evaluation and multi-modal service models signal expansion beyond text-based moderation into richer content types.
ModSquad delivers outsourced customer support, content moderation, and trust & safety operations to mid-to-large enterprises. The company blends human agents (primarily in Vietnam, Philippines, India, and other offshore hubs) with AI automation to handle support tickets, user-generated content review, and community safety at scale. Recent infrastructure work centers on consolidating disparate cloud data into Snowflake and building standardized data frameworks — common blockers for organizations scaling moderation operations globally. The hiring mix is overwhelmingly support-focused (22 of 25 active roles), reflecting the labor-intensive nature of the business.
ModSquad actively recruits across Vietnam, Thailand, Philippines, India, Malaysia, Poland, Romania, and 8+ other countries including the US, Italy, Sweden, and Japan.
Core tools include Snowflake for data warehousing, Python and SQL for analytics, Matillion for ETL, and ThoughtSpot for business intelligence. The company also integrates with Meta, Twitter, TikTok, Instagram, LinkedIn, and YouTube for content moderation workflows.
Current projects include audio content evaluation (music, podcasts, audiobooks), multi-modal service model development, and centralization of cloud data into Snowflake with common data frameworks.
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