Pixalate Tech Stack

Ad fraud detection and privacy compliance for connected TV, mobile, and web

Technology, Information and Internet Washington DC 51–200 employees Founded 2012 Privately Held

Pixalate detects and filters invalid traffic across CTV, mobile in-app, and web advertising. The tech stack reveals a company building AI-driven fraud detection: Python, PyTorch, TensorFlow, Hugging Face, LangChain, and RAG systems sit atop AWS and GCP infrastructure. Hiring is heavily weighted toward legal (8 roles) and sales (6), with executives in compliance and revenue strategy—indicating Pixalate is scaling both regulatory-motion and go-to-market beyond core engineering.

Tech Stack 59 technologies

Core StackSalesforce Vertex AI Jira Confluence Python LangChain PyTorch TensorFlow RAG Weights & Biases MLflow AWS CloudWatch Ansible Terraform AWS Lambda Redshift Azure AI LlamaIndex CrewAI AutoGen Hugging Face Transformers Ray TensorBoard GCP Google Cloud Logging Bitbucket Pipelines Chef Serverless API Gateway+29 more

What Pixalate Is Building

◆Challenges

Privacy compliance
Ad fraud detection
Fraud prevention for connected tv
Ensuring compliance across jurisdictions
High volume contract management
Scaling legal processes
Brand safety
Ensuring regulatory filing compliance
Leveraging r&d tax credits
Ai-driven fraud attacks

▲Active Projects

Legal process scaling
Corporate governance support
Feature releases
Developing revenue growth strategy for dsp, ssp, exchanges, networks, and publishers
Contract template development
Incorporation of international affiliates and subsidiaries
Drafting intercompany agreements for international entities
R&d tax credit applications
Ip docket tracking
Annual mst update workflow

Hiring Activity

Accelerating30 roles · 30 in 30d

Department

Legal

Sales

Engineering

Marketing

Ops

Product

Data

Seniority

Senior

Mid

Director

Principal

Manager

Notable leadership hires: Program Director, Sales Director

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About Pixalate

Pixalate provides fraud protection, privacy, and compliance analytics for the connected TV and mobile advertising ecosystem. The company is MRC-accredited for detecting sophisticated invalid traffic across desktop, mobile web, in-app, and OTT/CTV channels. Operating in a highly regulated space, Pixalate serves display networks, SSPs, DSPs, exchanges, and publishers. The product integrates detection and filtration across multiple ad formats and channels, addressing brand safety and fraud prevention as core use cases.

HeadquartersWashington DC

Company Size51–200 employees

Founded2012

Hiring MarketsUnited States, Canada, Singapore, Pakistan

Frequently Asked Questions

What tech stack does Pixalate use for fraud detection?

Python, PyTorch, TensorFlow, Hugging Face Transformers, LangChain, and RAG systems on AWS and GCP. The stack also includes Vertex AI and Azure AI for ML model infrastructure.

Is Pixalate hiring for legal and compliance?

Yes. Legal has 8 active roles (most recent 30 days), with additional hiring in compliance-adjacent functions. Senior and VP-level positions indicate leadership expansion in regulatory areas.

Where is Pixalate headquartered and hiring?

Headquartered in Washington DC. Currently hiring across the United States, Canada, Singapore, and Pakistan, with acceleration in legal, sales, and engineering roles.

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How this profile is built

Pixalate's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.