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pubX Tech Stack

AI-powered dynamic pricing and revenue optimization for digital publishers

Technology, Information and Internet London 11–50 employees Founded 2020 Privately Held

pubX builds ML-driven pricing and monetization tools for digital publishers, with a tech stack built for real-time decision-making: Kafka for event streaming, FastAPI + Node.js for service layer, PyTorch + scikit-learn for modeling, and AWS infrastructure (SageMaker, Bedrock, EKS, Lambda). The project mix—real-time pricing decisions, MLOps infrastructure, agentic AI backends, and lakehouse data patterns—reveals a company solving the manual and static pricing problems that cost publishers significant revenue, now moving toward autonomous optimization systems.

Tech Stack 36 technologies

Core StackPython TypeScript FastAPI Node.js Kafka AWS Terraform GraphQL gRPC RabbitMQ AWS Lambda AWS RDS DynamoDB PyTorch scikit-learn MLflow Weights & Biases SageMaker Kubeflow AWS SQS AWS CDK REST AWS ECS AWS EKS API Gateway AWS Application Load Balancer MCP SQL Bedrock SageMaker Pipelines+6 more

What pubX Is Building

◆Challenges

Manual ad pricing
Rule-based ad pricing
Static ad pricing
Optimise publisher monetisation
Remove operational bottlenecks
Scale publisher capacity
Significant revenue loss

▲Active Projects

Real-time pricing decisions for ad auctions
Event-driven components with kafka
Production ml pipelines
Mlops infrastructure
Agentic ai backend services
Ml/llm integrated web applications
Data models and transformation layers for lakehouse patterns
Ai/ml workflows for training and feedback loops
Revenue optimisation product
Data identity layer

Hiring Activity

Accelerating5 roles · 5 in 30d

Department

Engineering

3

Data

1

Product

1

Seniority

Senior

5

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About pubX

pubX is a London-based AI startup (founded 2020) building monetization technology for digital publishers. The core product is a Dynamic Price Floor Tool that applies machine learning to set prices individually per ad auction, replacing manual and rule-based approaches. The company operates across real-time bidding infrastructure, ML pipeline orchestration, and revenue analytics, serving mid-market and enterprise publishers. The engineering-heavy hiring profile (5 senior-level roles in past 30 days, split across engineering, data, and product) indicates active scaling of core ML and infrastructure capabilities.

HeadquartersLondon

Company Size11–50 employees

Founded2020

Hiring MarketsUnited Kingdom

Frequently Asked Questions

What tech stack does pubX use?

Python, TypeScript, FastAPI, Kafka, PyTorch, scikit-learn, AWS (SageMaker, Bedrock, EKS, Lambda, RDS, DynamoDB), Terraform, MLflow, and Weights & Biases for ML operations and infrastructure.

What is pubX working on?

Real-time pricing decisions for ad auctions, production ML pipelines, MLOps infrastructure, agentic AI backends, and lakehouse data models for publisher monetization and revenue optimization.

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