Hawk Tech Stack

Explainable AI platform for AML, payment screening, and fraud detection

Financial Services Munich, Bayern 51–200 employees Founded 2018 Privately Held

Hawk builds AML and financial-crime detection software powered by explainable AI, deployed on Kubernetes + AWS/GCP with Kafka, Elasticsearch, and PyTorch in the stack. The tech mix—heavy on ML infrastructure (Spark, Hadoop, scikit-learn, TensorFlow) paired with real-time streaming—reflects their focus on reducing false positives while scaling detection coverage. Engineering dominance in hiring (9 of 36 roles) and active work on GenAI-powered investigative workflows signal a shift toward interactive compliance tooling rather than static rule engines.

Tech Stack 30 technologies

Core StackTerraform Kubernetes AWS GitLab CI/CD GitHub Actions Elastic Stack Prometheus Grafana CloudWatch Java React PostgreSQL Elasticsearch Kafka Apache Spark Hadoop Python Linux HubSpot pandas scikit-learn PyTorch TensorFlow GCP JumpCloud macOS Windows Planhat Microsoft Office Google Workspace

What Hawk Is Building

◆Challenges

Improving aml compliance
Platform stability
Managing security rfps
Reducing false positives
Balancing scalability with flexibility
Maintaining high availability
Scaling platform for enterprise customers
Complex technical issues
Strengthening isms
Process efficiency automation

▲Active Projects

Ai-powered anti-money-laundering platform
Genai-powered investigative workflows
Explainable ai
Deployment & cloud hosting blueprints
Centralized workstation management
Contract review
Post-incident review process
Real-time ai detection
Enterprise professional services models
Sales tools development

Hiring Activity

Minimal35 roles · 4 in 30d

Department

Engineering

Product

Support

Marketing

Legal

Sales

Security

Data

Seniority

Senior

Lead

Intern

Manager

Mid

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About Hawk

Hawk is a RegTech company founded in 2018, headquartered in Munich, serving financial institutions and fintechs with anti-money laundering, transaction monitoring, payment screening, and fraud detection. The product combines rule-based and machine-learning detection layers to flag suspicious activity while minimizing operator noise. The team spans engineering, product, support, and legal—reflecting the compliance-first nature of the business. They operate across Germany, Malaysia, the US, and UK, with a current workforce of 51–200 people and deliberately slow hiring (4 new roles in the last month).

HeadquartersMunich, Bayern

Company Size51–200 employees

Founded2018

Hiring MarketsGermany, Malaysia, United States, United Kingdom

Frequently Asked Questions

What technology does Hawk use to build its AML platform?

Hawk runs Kubernetes on AWS/GCP, uses Kafka and Elasticsearch for real-time data, and relies on PyTorch, TensorFlow, scikit-learn, and Apache Spark for ML training and inference. The stack includes Terraform for infrastructure, PostgreSQL for transactional data, and Prometheus/Grafana for observability.

What is Hawk working on beyond core AML?

Current projects include GenAI-powered investigative workflows, real-time AI detection, explainable AI methods, and enterprise professional services delivery. Internal priorities also include platform stability, scalability for large customers, and false-positive reduction.