DOSS builds an AI-native operations platform covering procurement, inventory, orders, fulfillment and finance for companies that sell physical goods. Its stack pairs TypeScript, React, GraphQL and PostgreSQL with Memgraph, DuckDB and Elasticsearch, a sign of a graph-plus-analytics data core. Projects on an EAV schema-as-code model and a git-style migration engine show engineering focused on safe schema changes for live tenants as it moves upmarket.
DOSS is a privately held company headquartered in San Francisco, CA, with 51–200 employees. It sells an operations cloud to physical product businesses, unifying procurement, inventory, orders, fulfillment and finance on a shared operational data model. The product is positioned as an alternative to spreadsheet-driven workflows and lengthy traditional ERP rollouts, with quick deployment and configurable workflows. Hiring spans engineering, product, operations, marketing and sales, concentrated in the United States.
DOSS runs TypeScript, React, Next.js, Tailwind CSS, GraphQL, Node.js and PostgreSQL, with Memgraph, DuckDB, Elasticsearch, BigQuery and Snowflake for data, and is adopting Terraform for infrastructure.
DOSS is building new ERP platform capabilities, AI-assisted schema and workflow tooling, a core EAV schema-as-code data model, and a git-style version control and migration engine.
DOSS is headquartered in San Francisco, CA, has 51–200 employees, and hires in the United States across engineering, product, operations, marketing and sales.
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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.
