Ad fraud, privacy and compliance analytics for CTV, mobile apps and web
Pixalate detects invalid traffic and privacy risk across CTV, in-app and web advertising inventory. Its stack pairs a deep ML toolchain (PyTorch, TensorFlow, Ray, MLflow) with agent frameworks like LangChain, CrewAI and AutoGen, which points to LLM-driven detection and analytics work. Hiring is accelerating and senior-heavy, with an unusually large legal footprint tied to incorporating international affiliates and governance work.
Notable leadership hires: Technical Program Director, FP&A Director
Pixalate, founded in 2012 and headquartered in Washington DC, provides fraud protection, privacy and compliance analytics for digital advertising. Coverage spans display, video, mobile in-app and OTT/CTV, including detection and filtration of sophisticated invalid traffic and child-privacy (COPPA) compliance. Customers include DSPs, SSPs, exchanges, ad networks and publishers, served through custom reports, data feeds and APIs. The privately held company has 51-200 employees and is hiring in the United States, Singapore, Pakistan and China.
Pixalate runs on AWS and GCP with Python, PyTorch, TensorFlow, Ray and MLflow for ML, LangChain and CrewAI for LLM agents, Terraform and Ansible for infrastructure, and Salesforce and NetSuite on the business side.
Pixalate is headquartered in Washington DC, United States, and also hires in Singapore, Pakistan and China.
Yes, hiring is accelerating, led by engineering, sales and legal, with a senior- and VP-heavy mix including Technical Program Director and FP&A Director roles.
Other companies in the same industry, closest in size
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.