Quantifind Tech Stack

AI-powered risk intelligence platform for financial crime and compliance

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

Quantifind delivers AI-driven risk detection for AML, KYC, and fraud management—core compliance workloads at banks and government agencies. The tech stack (Scala, Python, Spark, Kubernetes, React) reflects a data-heavy ML organization scaling distributed processing. Active hiring across engineering, data, and go-to-market roles, combined with APAC deployment projects, signals expansion beyond core North American financial services into regional markets.

Tech Stack 21 technologies

Core StackWordPress Salesforce React Redux Greenhouse Jira GitHub Palo Alto Networks Kubernetes Docker Scala Python Apache Spark Hadoop PostgreSQL Java Linux SQL Dell Bash Ubuntu

What Quantifind Is Building

◆Challenges

Legacy technologies demand more human resources
Compliance processes burdened by regulatory responsibilities
Expectation of frictionless transactions
Legacy fraud detection inefficiency
Increasing regulatory responsibilities

▲Active Projects

Go-to-market execution for ai-driven risk intelligence solutions
Product launches and solution rollouts
Apac region deployment and adoption
Regional process and best practice development
React application development for ml/ai service layer
Data visualization development
Secure network topologies for saas
Network as code for cloud and data center
Standalone services in scala and python using spark
Build complex machine learning solutions

Hiring Activity

Accelerating15 roles · 8 in 30d

Department

Engineering

Data

Marketing

Support

Product

Sales

Seniority

Junior

Mid

Senior

Manager

Staff

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About Quantifind

Quantifind is an AI platform company founded in 2009, headquartered in Palo Alto, serving financial institutions and government agencies. The product automates financial crime risk assessment by ingesting structured internal data and unstructured public sources—text, media, web content—to surface signals of money laundering, fraud, and network threats. The platform handles KYC, CDD, AML, and fraud risk workflows as SaaS with consumer-grade UX, designed to replace legacy manual processes and reduce compliance operational burden as regulatory complexity grows. The company operates at 51–200 employees with engineering and data teams concentrated on ML model development, distributed systems, and application modernization.

HeadquartersPalo Alto, California

Company Size51–200 employees

Founded2009

Hiring MarketsUnited States, Singapore

Frequently Asked Questions

What technology does Quantifind use?

Backend: Scala, Python, Apache Spark, Hadoop, PostgreSQL. Frontend: React, Redux. Infrastructure: Kubernetes, Docker, Linux. DevOps: GitHub, Jira. Security: Palo Alto Networks. Enterprise: Salesforce, WordPress.

What is Quantifind working on?

Go-to-market expansion for AI risk intelligence; React application development for ML services; data visualization; APAC region deployment; secure SaaS network architecture; machine learning model development using Spark and Python.