AI-powered customer intelligence platform centralizing feedback and insights
Dovetail processes customer feedback at scale through a tech stack spanning TypeScript, React, PostgreSQL, and AWS infrastructure, with heavy AI integration via SageMaker, Bedrock, and Anthropic. The company is actively building AI-powered data ingestion and classification systems while tackling core pain points around scaling data pipelines and extracting signal from fragmented feedback—typical friction points for platforms sitting at the intersection of data collection and actionable synthesis.
Dovetail is a SaaS platform that centralizes customer feedback and interaction data into AI-driven insights for product, design, and research teams. Founded in 2017 and headquartered in Sydney with an additional San Francisco office, the company operates a 115+ person team. The platform targets mid-market to enterprise buyers across product-led verticals (design, product management, user research) and is now expanding sales motion with a focus on ABM-style outreach and enterprise playbooks. Engineering forms the largest active hiring group, reflecting ongoing investment in infrastructure and ML-powered features.
Dovetail's stack includes TypeScript, React, Node.js, PostgreSQL, AWS (EKS, ECS), and GCP for infrastructure; GraphQL for APIs; and Anthropic, Bedrock, and SageMaker for AI-powered data processing and classification.
Dovetail is headquartered in Sydney, Australia, with a secondary office in San Francisco and 115+ employees across both locations.
Dovetail's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.