Deterministic identity graph and audience data for marketers and ad platforms
Deep Sync is a Kirkland-based identity data company that resolves customer records to real people and households for audience activation. Its stack pairs heavy data infrastructure (Spark, EMR, Snowflake, Databricks, BigQuery) with an agentic AI layer (LangChain, CrewAI, Semantic Kernel, Pinecone, Milvus), and job posts point to repackaging data as machine-readable, AI-first products alongside a new audience pricing model.
Deep Sync, founded in 2022 and headquartered in Kirkland, Washington, provides identity resolution and audience data built on a deterministic identity graph. It serves brands, agencies, and marketing and advertising platforms with data onboarding, audience targeting and expansion, measurement, and customer intelligence. The privately held company has 51–200 employees and currently hires in the United States across operations, product, and sales.
Deep Sync runs Python, Java, and C++ on AWS, GCP, and Azure, with Spark, Hadoop, Snowflake, Databricks, BigQuery, and Airflow for data, plus LangChain, CrewAI, Pinecone, and Milvus for AI work.
Job posts point to AI-first product development, designing machine-readable data outputs, and a new pricing model for audience data.
Deep Sync is headquartered in Kirkland, Washington, United States, and has 51–200 employees.
Other companies in the same industry, closest in size
Deep Sync'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.