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IVIX Tech Stack

AI platform for government financial crime investigation using open-source intelligence

Business Intelligence Platforms New York, NY 51–200 employees Privately Held
ivix.ai LinkedIn

IVIX builds an AI-powered investigation platform for government agencies targeting financial crime, money laundering, and tax evasion. The tech stack reveals a data-intensive, polyglot architecture: Python + FastAPI backend, React + TypeScript frontend, with MongoDB, Elasticsearch, Neo4j, and Kafka handling massive volumes of public web data across a Kubernetes-deployed infrastructure. The hiring composition—eight engineers, two data specialists, and senior-to-principal seniority levels—signals an organization scaling infrastructure and data pipelines rather than sales motion, consistent with their government-first go-to-market.

Tech Stack 49 technologies

Core StackNetSuite React TypeScript Vite Tailwind CSS Python FastAPI Node.js NestJS MongoDB Elasticsearch Redis Neo4j Kafka Apache Airflow Docker Kubernetes Helm AWS Jenkins GitLab CI/CD Terraform Ansible Prometheus Grafana Apache Spark QuickBooks Online TanStack Query GCP AWS EMR+16 more

What IVIX Is Building

◆Challenges

  • Illuminating the global shadow economy
  • Combat financial crime
  • Multiple priorities
  • Fast-paced startup environment
  • Scaling large data systems
  • Complex data processing at scale
  • Shadow economy detection
  • Processing massive volumes of public web data
  • Scaling data pipelines for hundreds of millions of records
  • Closing the tax gap

▲Active Projects

  • Scaling engineering architecture for growing users
  • Data-intensive web applications across polyglot monorepo
  • Golden dataset creation and curation
  • Crypto intelligence platform across evm chains
  • Analytical solution delivery
  • Best practices in analytics
  • Cloud infrastructure on aws and gcp
  • Containerized environments with kubernetes
  • Scalable data pipelines for public web data
  • Big data systems for ai/ml analytics

Hiring Activity

Accelerating15 roles · 15 in 30d

Department

Engineering
8
Data
2
Finance
2
Product
1
Sales
1

Seniority

Senior
10
Lead
2
Manager
1
Principal
1

Notable leadership hires: Data Solutions Lead

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About IVIX

IVIX was founded in 2020 and operates as a private company headquartered in New York with global operations supporting government agencies worldwide. The platform uses artificial intelligence and open-source intelligence (OSINT) to detect financial crime hiding in plain sight, with specific tooling for eCommerce and cryptocurrency investigations. Core capabilities include automated evidence generation, compliance detection, and large-scale data pipeline processing across public internet data. The company serves tax authorities, law enforcement, and financial crime investigators.

HeadquartersNew York, NY
Company Size51–200 employees
Hiring MarketsIsrael

Frequently Asked Questions

What tech stack does IVIX use?

Backend: Python, FastAPI, Node.js, NestJS. Frontend: React, TypeScript, Tailwind CSS. Data: MongoDB, Elasticsearch, Neo4j, Kafka, Apache Spark, Apache Airflow. Infrastructure: AWS, GCP, Kubernetes, Docker, Terraform. CI/CD: GitLab, Jenkins. Monitoring: Prometheus, Grafana.

Is IVIX hiring engineers?

Yes. Eight engineering roles are open, predominantly senior-level (10 total senior/lead positions across all departments). Hiring is active in Israel and accelerating.

What is IVIX working on?

Scaling architecture for growing users, building crypto intelligence platforms across EVM chains, creating golden datasets, scaling data pipelines to process hundreds of millions of public web records, and deploying containerized infrastructure across AWS/GCP.

How this profile is built

IVIX'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.