DataVisor Tech Stack

Real-time fraud and AML detection platform for Fortune 500 enterprises

Software Development Mountain View, California 51–200 employees Founded 2013 Privately Held

DataVisor operates a machine-learning-driven fraud and risk platform built on distributed streaming infrastructure (Kafka, Flink, Cassandra, Spark) designed for subsecond decisioning at scale. The tech stack—heavy on real-time data systems, low-latency databases, and AI tooling (OpenAI, Anthropic)—reflects a company optimizing detection velocity and novel-pattern discovery. Engineering and sales hiring are equally weighted, suggesting a mature go-to-market motion alongside active platform expansion.

Tech Stack 35 technologies

Core StackApache Spark Cassandra Kubernetes Docker AWS Java Python Grafana Loki Elasticsearch Apache Flink Salesforce Selenium Postman JavaScript Kafka OpenAI Anthropic C++ Hibernate Hadoop Linux Ansible SQL Cucumber Google Spring Framework JPA Bash HBase+4 more

What DataVisor Is Building

◆Challenges

Real-time fraud detection
Reducing fraud
Reducing total cost of ownership
Compensation and benefits
Optimizing detection performance
Detecting novel fraud patterns
Fast-evolving fraud
Fraud and money laundering activities in real time
Data processing at scale
Streamlining operations

▲Active Projects

Distributed real-time data systems for low-latency decisioning
Experimenting new fraud detection approaches
Embedding fraud strategies into dashboards
Design and maintain saas metrics
Build financial models for revenue analysis
Large-scale ai-based fraud and risk decision platform
Novel streaming database systems
Integration solutions for client systems
Client onboarding project
Real-time fraud detection platform

Hiring Activity

Accelerating45 roles · 20 in 30d

Department

Engineering

Sales

Support

Data

Finance

Marketing

Ops

Seniority

Senior

Mid

Intern

Manager

Director

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About DataVisor

DataVisor is a fraud and risk management platform serving Fortune 500 companies globally. The product combines unsupervised machine learning, device intelligence, and a decisioning engine to detect and block fraud and money-laundering activity in real time across the entire customer lifecycle. The company operates from Mountain View, California, with distributed teams in Ireland, Japan, the United States, and Canada. Active development focuses on streaming-database architecture, low-latency fraud detection systems, financial modeling, and client integration workflows.

HeadquartersMountain View, California

Company Size51–200 employees

Founded2013

Hiring MarketsIreland, Japan, United States, Canada

Frequently Asked Questions

What tech stack does DataVisor use?

Apache Spark, Cassandra, Kafka, Flink, Kubernetes, AWS, Java, Python, Elasticsearch, HBase, and Hadoop. Also integrates Salesforce, Grafana, Loki, and recently OpenAI and Anthropic for ML-driven detection.

What is DataVisor working on?

Distributed real-time data systems for low-latency fraud decisioning, novel detection approaches, embedding fraud strategies into dashboards, streaming database systems, and large-scale AI-based risk platforms.