Tadaweb Tech Stack

OSINT and public intelligence platform powered by ML and vector search

Software Development Luxembourg, Belval 51–200 employees Founded 2011 Privately Held

Tadaweb operates a publicly available information (OSINT) and web intelligence platform anchored in Go, Python, and a multi-cloud stack (AWS, Azure, GCP). Active projects center on RAG, vector search, and semantic indexing—layered on PostgreSQL, MongoDB, BigQuery, and Spanner—indicating a pivot toward AI-driven retrieval and ranked relevance over raw data collection. Security and engineering roles dominate the hiring mix, paired with acknowledged pain points around GDPR compliance, latency, and cost optimization, suggesting platform maturity coupled with operational complexity at scale.

Tech Stack 34 technologies

Core StackGo gRPC RabbitMQ MongoDB PostgreSQL Redis GitLab CI/CD BigQuery Python TypeScript TensorFlow PyTorch scikit-learn Pandas PySpark Apache Airflow Apache Spark Kafka AWS MLflow Kubeflow Figma REST Git Spanner pgvector AlloyDB Azure Cognitive Search Azure GCP

What Tadaweb Is Building

◆Challenges

Cost control across clouds
Gdpr compliance
Latency optimization across clouds
Complex osint use cases
Customer training and adoption
Feedback loop to product team
Scaling platform
Scalable data pipelines
Strengthening cyber resilience
Continuous compliance

▲Active Projects

Rag system design
Vector search strategy
Osint collection improvement
Customer training program
Brand-new platform that integrates multiple services
Semantic search platform
End-to-end ml pipelines
Data pipelines for large volumes
Medallion architecture implementation
Ai enablement & delivery

Hiring Activity

Steady15 roles · 6 in 30d

Department

Engineering

Security

Support

Data

Design

Sales

Seniority

Mid

Senior

Intern

Junior

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About Tadaweb

Tadaweb delivers an OSINT and web intelligence platform designed for corporate investigations, risk management, and intelligence workflows. Founded in 2011 and based in Luxembourg, the company combines public-source data collection with machine learning and search to surface actionable intelligence. The product stack spans data ingestion (Kafka, Airflow), storage (PostgreSQL, MongoDB, BigQuery, Spanner), ML (TensorFlow, PyTorch, scikit-learn), and retrieval (vector search via pgvector, Azure Cognitive Search). Current work includes a brand-new integrated platform, medallion architecture implementation, and end-to-end ML pipeline buildout. The 51–200-person organization operates primarily across the UK, US, Luxembourg, and Germany.

HeadquartersLuxembourg, Belval

Company Size51–200 employees

Founded2011

Hiring MarketsUnited Kingdom, United States, Luxembourg, Germany

Frequently Asked Questions

What is Tadaweb's tech stack?

Go, Python, TypeScript, PostgreSQL, MongoDB, BigQuery, Spanner, pgvector, Kafka, Apache Airflow, TensorFlow, PyTorch, with cloud deployment on AWS, Azure, and GCP.

What is Tadaweb working on?

RAG systems, vector search strategy, semantic search platform, OSINT collection improvements, end-to-end ML pipelines, medallion data architecture, and a brand-new integrated platform consolidating multiple services.