AI-driven decision intelligence and benchmarking for financial institutions
Curinos sells analytics and decision guidance to financial institutions, built on a Databricks lakehouse (Delta Lake, Unity Catalog, MLflow) alongside Snowflake and BigQuery, with Fiddler for model monitoring. Hiring is accelerating and tilts toward sales and product, including a Head of Platform Sales, which points to a push to commercialize the unified Curinos One platform. Projects around a shared semantic layer suggest work to resolve inconsistent benchmark definitions.
Notable leadership hires: Head of Platform Sales
Curinos is a privately held company founded in 2021 and headquartered in New York, NY, with 201–500 employees. It provides financial institutions with proprietary data, analytics and AI-driven guidance covering areas such as pricing, customer strategy, channel and distribution optimization, risk management and M&A support. Its work includes deposit pricing analytics, digital experience benchmarking, retail network planning and marketing optimization. The company serves institutions internationally and hires across the United States, United Kingdom and Canada.
Curinos runs Databricks with Delta Lake, Unity Catalog and MLflow, plus Snowflake, BigQuery, Apache Spark, Airflow and AWS Glue. Applications use Java, Spring Boot, Angular and TypeScript on AWS, with Terraform and Jenkins.
Yes. Sales and product lead Curinos' accelerating hiring, including a Head of Platform Sales, with roles in the United States, United Kingdom and Canada.
Curinos is building the Curinos One platform and its capture roadmap, a shared semantic layer, digital experience benchmarking, deposit pricing analytics and retail network planning tools.
Other companies in the same industry, closest in size
Curinos'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.