Public-records and criminal background data for trust and safety screening
Tessera Data supplies criminal, court, driver and address-history data that background screening providers build on. Its stack pairs a lakehouse-style data layer (Kafka, Spark, Iceberg, Glue, Athena, Databricks, Snowflake) with OpenAI and Anthropic models, while job posts push AI-first RevOps and AI-orchestrated marketing. Hiring is accelerating and skews toward ops and go-to-market, with pain points centered on high-volume verification throughput and accuracy.
Notable leadership hires: Chief of Staff, Customer Success Director
Tessera Data is a privately held people-data company headquartered in Irvine, California, founded in 2017 and employing 51–200 people. It provides records data used in background checks, including alias and address history, automated criminal records, a criminal database, continuous monitoring and driver history. Its customers are companies that run screening to make trust and safety decisions, both online and offline. The company runs on AWS with Python and Ruby services, a React front end, and Salesforce, Outreach and Sales Navigator for sales. Hiring is concentrated in the United States.
Tessera Data uses Python, Ruby, React, Kafka, Apache Spark, Iceberg, AWS Glue, Athena, Databricks and Snowflake, plus Elasticsearch, Looker, Salesforce, Outreach, Workday, OpenAI and Anthropic.
Job posts point to an AI-orchestrated customer marketing engine, an AI-first operating standard for RevOps, a people technology and data architecture, and scalable frameworks for launches, renewals and expansion.
Tessera Data is headquartered in Irvine, California, and currently hires in the United States. It has 51–200 employees and was founded in 2017.
Other companies in the same industry, closest in size
Tessera Data'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.