B2B website visitor identification and lead generation software
Lead Forensics identifies the companies behind anonymous B2B website traffic and turns visits into sales leads. Its stack spans a modern TypeScript layer (NestJS, Node.js, Vue) alongside legacy .NET, IIS and SQL Server, with Snowflake and SingleStore for data and both AWS and Azure in use. Engineering-heavy, accelerating hiring paired with Vanta and Drata points to modernization and compliance work running in parallel.
Lead Forensics is a London-headquartered software company founded in 2009 that reveals which businesses visit a client's website. The product surfaces company details, key contacts, decision makers, firmographics and on-site engagement so sales and marketing teams can act on otherwise anonymous traffic. It sells to B2B organizations focused on lead generation and digital marketing. The privately held company employs 201–500 people and hires in the United Kingdom and United States. Customer success runs on Planhat, while sales uses Salesforce and Outreach.
Lead Forensics uses NestJS, Node.js, Vue and TypeScript, plus .NET, SQL Server, Redis, Snowflake and SingleStore, running on AWS and Azure with Docker, Terraform and AWS CDK.
Yes. Hiring is accelerating and centered on engineering, with additional data and support roles, across the United Kingdom and United States.
Job posts point to customer-facing product development, new analytical capability, group platform design, and proofs of concept and prototypes.
Other companies in the same industry, closest in size
Lead Forensics'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.