Unified AI risk decisioning for fraud, credit underwriting and AML compliance
Oscilar sells a no-code risk decisioning platform that unifies fraud, credit, onboarding and compliance decisions for financial businesses. Its stack is moving toward a lakehouse, with Databricks, Delta Lake and Apache Iceberg being adopted alongside Spark, Kafka and ClickHouse, while open pain points around data-layer reliability and database scaling suggest a major data re-architecture. Hiring is accelerating and weighted toward senior and staff engineers.
Oscilar, founded in 2021 and headquartered in Palo Alto, CA, builds a cloud-native platform for real-time risk decisions. The product spans fraud defense, credit underwriting, onboarding risk and anti-money-laundering compliance, using AI agents and signal analysis to automate high-stakes decisions. The privately held company has 201–500 employees and hires across the United States, India, Brazil and Poland. Its engineering runs on Java and Python across AWS, GCP and Azure, with a go-to-market motion supported by Salesforce, HubSpot and Outreach.
Oscilar uses Java and Python on AWS, GCP and Azure, with Kubernetes, Docker, Kafka, Apache Spark, ClickHouse, Snowflake, PostgreSQL and Elasticsearch, and is adopting Databricks, Delta Lake and Apache Iceberg.
Oscilar is headquartered in Palo Alto, CA and hires in the United States, India, Brazil and Poland, with accelerating demand across engineering, sales, data and marketing.
Current initiatives include a web SDK, behavior analytics, device fingerprinting, advanced fraud detection models, an ML stack build-out and a new application security program.
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Oscilar'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.