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Spokeo Tech Stack

People search engine with 12B records powering identity verification and fraud detection

Technology, Information and Internet Pasadena, California 51–200 employees Privately Held

Spokeo operates a people-search platform serving 18M+ monthly visitors and enterprise customers through identity verification and background research. The tech stack reveals a data-intensive, ML-forward operation: Elasticsearch + MySQL for search, Databricks + Spark + TensorFlow for analytics and modeling, with emerging RAG adoption signaling a shift toward agentic search. Active projects around entity resolution, ML data pipelines, and agentic AI systems, paired with hiring concentrated in engineering and data roles, indicate Spokeo is transitioning from keyword-based search toward learned entity matching and AI-driven automation.

Tech Stack 42 technologies

Core StackReact Node.js Ruby on Rails Elasticsearch MySQL Databricks Google Analytics Tableau PySpark AWS Apache Airflow DynamoDB Python Apache Spark TensorFlow scikit-learn PyTorch RSpec Google Search Console SQL Jupyter Ahrefs SEMrush Screaming Frog PageSpeed Insights Lighthouse AWS EMR XGBoost Spark MLlib GCP+12 more
AdoptingRAG

What Spokeo Is Building

Challenges

  • Streamlining operations workflows
  • Optimizing ai performance
  • Transitioning entity resolution to ml
  • Scaling data pipelines
  • Low organic traffic
  • Ensuring ai scalability
  • Handling large datasets
  • Acquiring new accounts
  • Achieving annual revenue goals
  • Shortening sales cycles

Active Projects

  • Data automation pipelines
  • Ai-driven automation tools
  • Entity resolution system transition
  • Retrieval-augmented generation (rag) systems
  • Entity resolution product
  • Machine learning data pipelines
  • Technical response for rfps
  • Agentic ai systems
  • Canonical attribute selection models
  • Proof-of-concept validation

Hiring Activity

Steady20 roles · 9 in 30d

Department

Engineering
10
Data
6
Sales
4

Seniority

Senior
13
Manager
5
Mid
2
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About Spokeo

Spokeo is a people search engine founded in 2006 that aggregates 12 billion records into 250+ million unique profiles. The platform serves two distinct markets: consumers (18M+ monthly users reconnecting with contacts and managing fraud risk) and enterprises (B2B professionals conducting background research, criminal investigation support, and asset location). The company operates as a remote-first organization with 51–200 employees, primarily based in the United States, with an average tenure of 4.5 years. Core revenue drivers span consumer subscriptions and B2B licensing of search and identity verification APIs.

HeadquartersPasadena, California
Company Size51–200 employees
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Spokeo use?

Spokeo's production stack includes React + Node.js + Ruby on Rails for the frontend and API layer, Elasticsearch + MySQL for search and storage, and Databricks + Apache Spark + TensorFlow for data pipelines and ML. AWS is the primary cloud infrastructure provider.

What is Spokeo working on?

Current projects include entity resolution system migration to ML, retrieval-augmented generation (RAG) systems, agentic AI automation tools, and data pipeline scaling. These reflect a strategic shift from rule-based search toward learned entity matching and autonomous research agents.

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