Business data platform for KYB, underwriting, and ABM
Enigma operates a data platform built on entity resolution for U.S. business verification and sales/marketing use cases. The stack is heavily data-infrastructure focused—Databricks, Spark, Dagster, LakeFS, and Terraform dominate—reflecting a mature data-ops organization handling ingestion, transformation, and delivery at scale. Hiring remains concentrated in engineering and senior roles, though velocity is decelerating; pain points cluster around sales cycle speed, marketing velocity to SMBs, and platform scalability, suggesting the company is optimizing go-to-market and data-delivery efficiency rather than expanding.
Enigma provides foundational business data covering U.S. entities, with a focus on entity resolution to ensure data accuracy and linkage. The product serves compliance teams (KYB, sanctions screening), sales and marketing teams (ABM and campaign targeting), and underwriting workflows. Founded in 2011 and headquartered in New York, the company operates as a B2B data platform with three core areas: SMB data, business verification, and payment data. Active development spans API delivery platforms, cloud-based data pipelines, and financial operations tooling—indicating both customer-facing product work and internal scaling.
Python, Docker, AWS, Databricks, Apache Spark, Dagster, LakeFS, Terraform, GCP, React, and MLflow. The stack reflects a data-infrastructure-first organization focused on pipeline orchestration and cloud deployment.
New York, NY. The company was founded in 2011 and remains privately held with 51–200 employees.
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