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Company profile

Quantifind Tech Stack

AI risk intelligence for AML, KYC and fraud screening

Software Development Palo Alto, California 51–200 employees Founded 2009 Privately Held

Quantifind sells SaaS risk intelligence that mines unstructured text for financial-crime signals, serving banks and government agencies. Its stack pairs Scala, Spark and Hadoop data pipelines with Kubernetes on AWS, including GovCloud, which points to regulated public-sector deployments. Senior-heavy, engineering-led hiring that is accelerating lines up with projects in entity resolution, knowledge graphs and Graphyte proofs of concept.

Tech Stack 43 technologies

Core StackKubernetes Docker Scala Python Apache Spark Hadoop Terraform AWS PostgreSQL Java Go Maven Jenkins Apache Airflow AWS RDS CloudFormation Cursor Palo Alto Networks Swift Jira Confluence Figma OpenTofu AWS GovCloud AWS EKS AWS ECS Amazon Cognito Bedrock Windsurf Dell+13 more

What Quantifind Is BuildingChallenges and projects from their job posts

◆Challenges

  • Legacy compliance tools demand heavy manual effort
  • Growing regulatory burden on compliance processes
  • Sanctions screening false positives
  • Balancing compliance with frictionless transactions
  • Result quality declining as operations expand

▲Active Projects

  • Apache Spark pipeline for risk signal generation
  • Entity resolution for financial crime detection
  • Knowledge graphs for risk analysis
  • Document classification for AML compliance
  • Proofs of concept for Graphyte platform
  • Enterprise-grade capability and scalability rollout

Hiring Activity

Accelerating20 roles · 7 in 30d

Department

Engineering
10
Support
3
Data
2
Customer-Success
1
Executive
1
Product
1
Sales
1
Security
1

Seniority

Senior
10
Mid
5
Staff
3
Junior
1
VP
1

Notable leadership hires: Customer Success Director

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About Quantifind

Quantifind is a privately held data science company founded in 2009 and headquartered in Palo Alto, California, with 51–200 employees. Its AI platform combines a financial institution's internal data with public-domain sources to assess risk for KYC, customer due diligence, fraud risk management and anti-money laundering programs. Customers include large banks and government agencies investigating criminal networks and election interference. The product is delivered as SaaS, and the company hires in the United States and Canada.

HeadquartersPalo Alto, California
Company Size51–200 employees
Founded2009
Hiring MarketsUnited States, Canada

Frequently Asked Questions

What tech stack does Quantifind use?

Quantifind uses Scala, Python, Java and Go with Apache Spark, Hadoop and Airflow. It runs on Kubernetes and Docker across AWS EKS, ECS, RDS and GovCloud, with Terraform/OpenTofu, Jenkins and PostgreSQL.

What is Quantifind working on?

Current work includes Spark pipelines for risk signal generation, entity resolution for financial crime detection, AML document classification, knowledge graphs for risk analysis and proofs of concept on its Graphyte platform.

Where is Quantifind headquartered and where does it hire?

Quantifind is headquartered in Palo Alto, California. It hires in the United States and Canada, mostly senior engineering roles, plus support, data and customer success positions.

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How this profile is built

Quantifind'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.