AdTech operations, yield optimization and data engineering services for publishers
DataBeat runs ad operations, yield and analytics work for media and AdTech clients, with a stack spanning Snowflake, BigQuery, Redshift, Looker and CTV platforms like Roku and Fire TV. LangChain, LangGraph and n8n alongside a project to ship production-ready agentic workflows show it is automating the AdOps campaign lifecycle. Accelerating, engineering-led hiring in India plus deep Salesforce Apex and LWC skills point to a parallel CRM build practice.
Notable leadership hires: R&D Lead
DataBeat is a Princeton, New Jersey-based services firm founded in 2017 and employing 201–500 people. It works with publishers, SSPs, DSPs and enterprises across media, entertainment and technology. Services cover yield and programmatic optimization, ad trafficking and QA across display, video, app and CTV, plus dashboards and automated reporting. A separate practice delivers data engineering, predictive analytics, custom development and data architecture for enterprises. The firm also publishes recurring programmatic market research built on its own tracked dataset.
DataBeat works with Snowflake, BigQuery, Redshift, PostgreSQL, Looker, Tableau and Adobe Analytics, plus Salesforce (Apex, Lightning Web Components, Sales and Service Cloud) and AI tooling like LangChain, LangGraph and n8n.
DataBeat's current hiring is concentrated in India, with momentum accelerating. Engineering and data roles lead the mix, alongside marketing, sales and design, and an R&D Lead leadership position.
Current initiatives include scalable tracking across web, mobile and CTV/OTT, third-party measurement tool integration, AdOps campaign lifecycle automation, reporting data pipelines and production-ready agentic workflows.
Other companies in the same industry, closest in size
DataBeat'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.