AI-powered identity resolution platform for fragmented customer data
Deep Sync runs a deterministic identity platform built on LLM agents (LangChain, CrewAI, Llama 3, OpenAI), vector DBs (Pinecone, Milvus), and orchestration (Airflow, Prefect, Dagster). Active projects signal a shift toward agentic infrastructure and RAG pipelines — moving from static identity graphs toward AI-driven matching and automation. Hiring is all senior engineers (4 open roles), suggesting they're scaling core matching/resolution logic while navigating privacy constraints and match-rate performance challenges that still require manual workarounds.
Deep Sync is an identity datatech company serving brands, agencies, and advertising platforms. The product resolves fragmented customer identity signals across devices and channels into actionable audience profiles, powered by a deterministic identity graph and 35+ years of offline/online data lineage. Core capabilities span identity resolution, first-party data onboarding, audience expansion, and cross-channel activation. The company operates from Kirkland, Washington with 51–200 employees, founded in 2022.
LangChain, CrewAI, Llama 3, OpenAI API, Pinecone, Milvus for AI/agents; Airflow, Prefect, Dagster for orchestration; Snowflake, BigQuery, Redshift, Databricks for data warehousing; Python, Java, C++, Docker, Kubernetes on AWS/Azure/GCP.
Agentic infrastructure build, RAG pipeline optimization, LLM gateway, identity spine integration, data orchestration platform, and productionizing AI prototypes — reflecting a pivot toward AI-driven identity automation.
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.