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Zzazz Tech Stack

AI-driven content valuation and trading platform

Technology, Information and Internet San Francisco/Bay Area, California 11–50 employees Privately Held
zzazz.com LinkedIn

Zzazz is building infrastructure to price and trade digital content as a financial asset, using AI to derive real-time valuations. The tech stack—MongoDB, PostgreSQL, Elasticsearch, Kafka, Spark, ClickHouse, plus LangChain and LlamaIndex—reflects a company handling high-volume data pipelines and embedding LLMs into production. The engineering-dominant hiring profile (14 engineers, 2 data, 2 sales across 18 roles) and project list focused on scalable pipelines, model deployment, and content authenticity signal a backend-first, data-infrastructure-heavy organization still in early scaling.

Tech Stack 88 technologies

Core StackMongoDB Elasticsearch PostgreSQL Prometheus Grafana Python Ansible Docker Kubernetes Terraform TimescaleDB Redis ClickHouse AWS DigitalOcean Kafka Apache Spark Java Langchain Jenkins Hadoop Kibana Bash PostGIS GCP Scylla SQL Git LlamaIndex Azure+56 more

What Zzazz Is Building

◆Challenges

  • Scalable data pipelines
  • Data integrity
  • Plagiarism and fake content
  • Publisher onboarding friction
  • Model integration into production
  • Reliability of deployed models

▲Active Projects

  • Scalable data pipelines
  • Etl solutions
  • Data architecture optimization
  • Digital content value modeling
  • Plagiarism and fake content mitigation
  • Multi-modal model deployment
  • Gpu deployment infrastructure
  • Publisher onboarding automation
  • Zzazz mobile app
  • Moments publishing workflow

Hiring Activity

Minimal20 roles · 1 in 30d

Department

Engineering
14
Data
2
Sales
2

Seniority

Mid
10
Senior
6
Junior
2
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About Zzazz

Zzazz is a San Francisco-based AI and economics research company that enables real-time pricing, trading, and monetization of digital content. The platform applies quantitative methods and machine learning to assign market valuations to information assets, positioning content as a new financial instrument. Core operational work spans scalable data pipelines, ETL, plagiarism detection, multi-modal model deployment, GPU infrastructure, and publisher onboarding. The company employs 11–50 people, primarily in India, with a technical org centered on data architecture and model reliability.

HeadquartersSan Francisco/Bay Area, California
Company Size11–50 employees
Hiring MarketsIndia

Frequently Asked Questions

What tech stack does Zzazz use?

Zzazz uses MongoDB, PostgreSQL, Elasticsearch, Kafka, Apache Spark, ClickHouse, TimescaleDB, Redis, and Kubernetes on AWS, GCP, and DigitalOcean. For AI/ML, the stack includes LangChain and LlamaIndex. Monitoring and observability run on Prometheus, Grafana, and Kibana.

What is Zzazz working on?

Current projects include scalable data pipelines, ETL solutions, digital content value modeling, plagiarism and fake content detection, multi-modal model deployment, GPU infrastructure, publisher onboarding automation, and a mobile app.

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