Data processing platform for financial services compliance and fraud detection
DataSeers builds enterprise software for banks and fintech firms to process transaction data at scale, with a focus on compliance, fraud detection, and reconciliation workflows. The tech stack reveals a mature data-infrastructure operation—Hadoop, Spark, and cloud platforms (AWS, GCP, Azure) sit alongside visualization tools (Tableau, Power BI) and containerization (Docker, Kubernetes)—while active projects and pain points signal ongoing infrastructure modernization, particularly around CI/CD reliability and the shift to Kubernetes.
DataSeers is a financial-services software company founded in 2017 and headquartered in Alpharetta, Georgia. The company operates FinanSeer®, an enterprise platform that ingests raw transaction data from banks and fintech firms, cleans and standardizes it, and automates downstream workflows across reconciliation, compliance, anti-fraud, and analytics. The platform is deployed globally and handles customer lifecycle management within a single interface. The 51–200 person organization is data-engineering-heavy, with a hiring focus on data roles and infrastructure modernization.
DataSeers uses Hadoop, Apache Spark, and cloud platforms (AWS, GCP, Azure) for data processing, Tableau and Power BI for visualization, Kubernetes and Docker for containerization, and Terraform and Ansible for infrastructure-as-code automation.
Active projects include CI/CD pipeline development and infrastructure automation with Ansible and Terraform, aligned with pain points around reducing system downtime and modernizing infrastructure to Kubernetes.
DataSeers is headquartered in Alpharetta, Georgia. The company was founded in 2017 and is privately held with 51–200 employees.
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