echoloc
Get started
echoloc/ Companies/ DataVisor

DataVisor Tech Stack

Real-time fraud and AML detection platform using ML and device intelligence

Software Development Mountain View, California 51–200 employees Founded 2013 Privately Held
datavisor.com LinkedIn

DataVisor operates a real-time fraud and risk management platform anchored in Java, Python, and a heavy distributed-systems stack (Kafka, Flink, Spark, Cassandra, HBase). The project list signals a shift toward next-generation ML infrastructure—novel streaming databases, agentic workflows, model optimization—while pain points center on legacy point solutions and batch decisioning gaps. Engineering-heavy hiring (8 of 19 roles) accelerating into senior and ML-focused positions indicates active platform modernization.

Tech Stack 40 technologies

Core StackJava Python Hibernate Cassandra Apache Flink Apache Spark Kafka Hadoop C++ Ansible Docker Kubernetes Salesforce HubSpot OpenAI Anthropic Monday.com Zendesk Jira ClickHouse AWS Bash JPA HBase Spring Framework SEMrush Google Analytics 4 Looker Studio Webflow CUDA+10 more

What DataVisor Is Building

◆Challenges

  • Legacy point solutions
  • Lowering total cost of ownership
  • Complex fraud attacks
  • Real-time fraud detection
  • Detect fraudsters in real-time
  • Integration challenges
  • High transaction volumes
  • Fraud and risk problems
  • Batch unified decisioning
  • Fast-evolving fraud and money laundering

▲Active Projects

  • Real-time fraud detection platform
  • Distributed real-time systems
  • Architect machine learning solutions
  • Large scale machine learning pipelines
  • Novel streaming database systems
  • Ai applications and agentic workflows
  • Machine learning model optimization
  • Next-generation machine learning platform
  • Risk detection strategy development
  • Fraud pattern analysis

Hiring Activity

Accelerating20 roles · 15 in 30d

Department

Engineering
8
Sales
4
Finance
2
Marketing
2
Support
2
Services
1

Seniority

Senior
12
Intern
4
Director
1
Manager
1
Mid
1
Company intelligence

Find more companies like DataVisor by tech stack, pain points and active projects

Get started free

About DataVisor

DataVisor is a fraud and AML detection platform serving Fortune 500 companies globally. The product combines patented machine learning, native device intelligence, and a decision engine to detect and respond to fraud across the entire customer lifecycle—payment, account opening, transactions, and identity verification. Built on a distributed, real-time architecture (Flink, Spark, Kafka, Cassandra), it handles high transaction volumes across consumer-facing online services, mobile apps, and backend risk workflows. The company employs 51–200 people in Mountain View and actively hires across Canada, the United States, and Japan.

HeadquartersMountain View, California
Company Size51–200 employees
Founded2013
Hiring MarketsCanada, United States, Japan

Frequently Asked Questions

What tech stack does DataVisor use?

Core languages: Java, Python, C++. Data streaming: Kafka, Apache Flink, Apache Spark. Storage: Cassandra, HBase, ClickHouse. Infrastructure: Docker, Kubernetes, Hadoop, Ansible. Decision/ML: OpenAI, Anthropic, CUDA. Also uses Salesforce, HubSpot, Jira, Zendesk.

Where is DataVisor headquartered?

Mountain View, California. The company was founded in 2013 and is privately held. It hires across Canada, the United States, and Japan.

How this profile is built

DataVisor'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.