B2B lead identification platform that uncovers anonymous website visitor details
Lead Forensics converts anonymous web traffic into actionable sales leads by identifying visitor organizations, contacts, and decision makers in real-time. The company is actively prototyping AI-enabled solutions and workflow improvements, while hiring aggressively across sales (18 open roles) and engineering (7) — indicating a push to scale both customer acquisition and product capability. Pain points around development velocity and sales expansion suggest the organization is moving fast but hitting friction in execution.
Founded in 2009 and based in London, Lead Forensics operates a B2B lead generation platform targeting mid-market and enterprise sales teams. The core product identifies businesses and key contacts behind anonymous website visitors, surfacing company data, email addresses, decision-maker names, industries, and page engagement signals. The company serves sales and marketing teams at organizations where the majority of web traffic converts to no inquiry. With 201–500 employees across engineering, sales, and support, Lead Forensics operates primarily in the United Kingdom and North America, with hiring expanding into South Africa.
The core stack includes Node.js, Vue, JavaScript, TypeScript, and NestJS on the frontend and backend. Data layers are built on SQL Server, Snowflake, SingleStore, and Redis, running on AWS. The team also uses RAG (Retrieval-Augmented Generation) technology.
Current projects center on AI capability: AI workstack prioritization, AI-enabled workflow improvements, and prototyping and iterating AI solutions — indicating a strategic pivot toward AI-enhanced lead identification and sales workflows.
Other companies in the same industry, closest in size