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Company profile

DataVisor Tech Stack

Real-time machine learning platform for fraud and AML detection

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

DataVisor, a Mountain View company founded in 2013, builds real-time fraud and anti-money-laundering detection for financial institutions, payment providers and digital businesses. Its stack pairs streaming infrastructure (Kafka, Flink, Spark, Cassandra, HBase) with GPU-backed ML tooling (CUDA, PyTorch, TensorFlow) plus Bedrock and MCP, pointing toward agentic AI work. Senior-weighted hiring spans engineering and customer support, alongside work to tighten Salesforce-to-finance data flows.

Tech Stack 51 technologies

What DataVisor Is BuildingChallenges and projects from their job posts

◆Challenges

  • Detecting complex fraud attacks in real time
  • Data integrity between CRM and finance
  • Financial planning and reporting infrastructure gaps
  • Expanding into new business units and upsell
  • Data availability

▲Active Projects

  • Real-time unsupervised ML platform
  • Next-generation machine learning platform and model optimization
  • Novel distributed streaming and database systems
  • Salesforce integration with financial and GTM systems
  • Risk detection strategy and fraud pattern analysis

Hiring Activity

Steady15 roles · 4 in 30d

Department

Engineering
5
Support
4
Sales
3
Finance
1
Marketing
1
Ops
1
Security
1

Seniority

Senior
11
Manager
2
Mid
2
Junior
1
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About DataVisor

DataVisor provides an AI-based decisioning platform that detects fraud and financial crime in real time. Its customers include banks and other financial institutions, payment companies and digital businesses. The company was founded in 2013, is privately held and headquartered in Mountain View, California, with 51–200 employees. It recruits in the United States, Japan and Canada. The platform runs on Java and Python services across AWS and GCP, orchestrated with Kubernetes.

HeadquartersMountain View, California
Company Size51–200 employees
Founded2013
Hiring MarketsUnited States, Japan, Canada

Frequently Asked Questions

What tech stack does DataVisor use?

DataVisor runs Java and Python with Spring and Hibernate, streaming and storage on Kafka, Flink, Spark, Cassandra and HBase, ML on PyTorch, TensorFlow and scikit-learn, and AWS, GCP and Kubernetes.

Where is DataVisor headquartered?

DataVisor is headquartered in Mountain View, California, and also hires in Japan and Canada.

What is DataVisor working on?

Job posts point to a real-time unsupervised ML platform, a next-generation machine learning platform, distributed streaming and database systems, and Salesforce integration with financial systems.

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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.