Oscilar powers real-time risk decisioning across fraud, credit, and compliance with a single, unified solution. Our no-code AI Risk Decisioning™ platform leverages agentic AI and advanced signal processing to analyze complex data, detect anomalies, and automate mission-critical decisions with speed and precision. Built by the team behind risk systems at Google, Meta, Uber, Citi, and J.P. Morgan, Oscilar combines deep technical expertise with cloud-native architecture to…
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Unify fraud defense, credit underwriting, onboarding risk, and AML compliance with Oscilar's no-code, AI-native platform
Full company description
Oscilar powers real-time risk decisioning across fraud, credit, and compliance with a single, unified solution. Our no-code AI Risk Decisioning™ platform leverages agentic AI and advanced signal processing to analyze complex data, detect anomalies, and automate mission-critical decisions with speed and precision. Built by the team behind risk systems at Google, Meta, Uber, Citi, and J.P. Morgan, Oscilar combines deep technical expertise with cloud-native architecture to deliver scalability, transparency, and regulatory-grade performance.
LinkedIn followers
19,706
People associated on LinkedIn
181
Reported office locations
Palo Alto, CA 94301, US
Business categories
Operating Systems
Cyber Security
Security
Other recorded names
Oscilar
Profile identifies a recruitment agency
No
Reported total investment
20,000,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Industry
Technology, Information and Internet
Size
201-500 employees
Headquarters
Palo Alto, CA
Organization type
Privately Held
Year founded
2021
Oscilar has 3 open jobs in Canada as of November 6, 2026.
Candidates need deep production experience running a database or analytical store under concurrent, customer-facing load, strong SQL and columnar query knowledge, and solid backend coding skills. They also need experience designing a multi-tier data platform and defending decisions with measurements.
ClickHouse, Databricks, Spark, Delta Lake, Iceberg, Kafka
5+ YOECandidates need 5+ years in data science or machine learning with a focus on fraud prevention or anti-money laundering, plus Python and experience with large datasets on distributed systems. Strong analytical, problem-solving and communication skills are required.
8+ YOECandidates need 8+ years of web development, including at least 3 years building SDKs, and strong JavaScript, TypeScript and browser API skills. Experience with data privacy, encryption and cross-browser compatibility is also needed.