Xverum
Precision-built Data and Insights for SaaS, AI Platforms, and Agents
Company Overview
Snapshot
Founded in January 2020, Xverum operates with 11–50 employees. The company is currently in a Pre-Funding stage, focusing on developing its data and insights solutions.
Business overview
Xverum specializes in collecting, organizing, and enriching public web data concerning individuals, companies, jobs, and locations. The company provides structured, compliant datasets and derived insights tailored for SaaS, AI/ML platforms, and AI agents. Its core offering includes pre-processed, standardized, and regularly refreshed data delivered via API or secure file transfer. Xverum serves markets within Sales Tech, MarTech, HR Tech, and Finance, offering both core datasets and inferred data layers that provide professional profile and company insights such as job changes, decision-maker identification, headcount growth, and hiring trends.
Log in to access full profile ›Company Intelligence Q&A
- What is Xverum's primary focus?
- Xverum focuses on collecting, organizing, and enriching public web data to provide structured, compliant datasets and derived insights for SaaS, AI/ML platforms, and AI agents.
- Which industries does Xverum serve?
- Xverum serves various industries, including Sales Tech, MarTech, HR Tech, and Finance, by providing data solutions tailored to their specific needs.
- What types of data does Xverum offer?
- Xverum offers two main types of data: Core Data, which includes complete datasets on people, companies, and active jobs, and Inferred Data, which provides derived attributes like job changes, decision-maker identification, and hiring trends.
- How does Xverum ensure data quality and compliance?
- Xverum's data is pre-processed, standardized, and refreshed regularly to ensure accuracy and compliance, and can be delivered through API or secure file transfer for seamless integration.
- What is the primary benefit Xverum offers to organizations?
- Xverum helps organizations transition from data acquisition to activation more rapidly and cost-effectively, enabling teams to reduce time-to-market and internal data operations costs.