Oscilar Tech Stack
AI-native platform for unified fraud, credit, and compliance decisioning
Oscilar operates a no-code risk decisioning platform built on agentic AI, targeting fraud detection, credit underwriting, and AML compliance. The tech stack reveals a production-grade, cloud-native architecture: Kafka for event streaming, ClickHouse for analytics, Snowflake for warehousing, Kubernetes for orchestration, and Elasticsearch for search—paired with ML infrastructure (Spark, automated pipelines, model training). Active projects center on latency reduction, chaos engineering, and low-latency backend services, indicating the company is optimizing for real-time decisioning at scale. Hiring is heavily weighted toward senior engineers and sales, suggesting both technical depth in production systems and aggressive customer expansion.
Tech Stack 80 technologies
What Oscilar Is Building
◆Challenges
- Fraud detection and risk management
- Compliance risk
- Fraud prevention
- Scaling ml systems
- Low latency backend services
- Automating complex real-time decisioning for credit
- Hardening platform against failures
- Maintaining reliability under traffic spikes
- Scaling multi-region cloud infrastructure
- Low-latency production deployment
▲Active Projects
- Reproducible automated ml pipelines
- Availability and latency improvement initiatives
- Chaos engineering experiments
- Ci/cd pipeline optimization
- Customer implementation & deployment
- Web sdk for device fingerprinting and behavior analytics
- Proof-of-concept implementations
- New ml infrastructure components
- Model training and deployment pipelines
- Fde deployments
