DOSS builds an operations cloud purpose-built to replace spreadsheet-driven workflows and rigid ERP implementations at physical product businesses. The tech stack reveals a modern, API-first architecture (TypeScript, React, Next.js, GraphQL, PostgreSQL) paired with data infrastructure (BigQuery, Snowflake, DuckDB, Elasticsearch) — indicating they're handling real-time operational analytics at scale. Active adoption of Terraform, ERP, CRM, MES, and WMS signals expansion into enterprise-grade supply-chain and financial workflows, while projects around schema-as-code, git-style version control, and AI-assisted tooling suggest DOSS is solving for the implementation friction that plagues traditional ERP deployments.
DOSS operates an AI-native cloud platform for mid-market to enterprise physical product businesses managing procurement, inventory, orders, fulfillment, and finance. The platform is designed to reduce time-to-value versus consultant-heavy ERP implementations through rapid deployment and continuous adaptability without re-implementation cycles. DOSS uses a unified operational data model and Adaptive Resource Platform (ARP) to unify goods, financial, and data flows in real time. The company is headquartered in San Francisco and employs 51–200 people, with accelerating hiring across product, engineering, and operations roles focused on enterprise-scale capability development and ERP implementation lifecycles.
DOSS uses TypeScript, React, Next.js, GraphQL, and PostgreSQL for the core platform, paired with data infrastructure including BigQuery, Snowflake, DuckDB, and Elasticsearch. They're adopting Terraform for infrastructure and expanding into ERP, CRM, MES, and WMS integrations.
DOSS is headquartered in San Francisco, CA and currently hires in the United States.
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DOSS'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.