Customer Data Platform purpose-built for automotive dealerships
Fullpath operates a CDP for automotive dealerships that layers AI and marketing automation onto unified first-party data. The stack reveals heavy Salesforce customization work (5 active projects on Salesforce alone) paired with LLM quality control (llm-as-judge framework, hallucination reduction), suggesting the company is embedding AI agents into dealership workflows while wrestling with CRM integration gaps and data quality issues. Support-heavy hiring (14 roles) against a small engineering team (5) indicates product-led adoption with customer enablement as the growth lever.
Fullpath is a Customer Data Platform designed for automotive dealerships. The product unifies dealership data sources and applies AI-driven marketing automation and analytics to drive personalized customer engagement and retention. The company operates from Miami, FL with 51–200 employees and is actively hiring across support, engineering, and sales. Current project focus centers on Salesforce integration and customization work, alongside development of AI agent capabilities and LLM quality frameworks.
Fullpath uses PostgreSQL and MySQL for data, AWS for infrastructure, Salesforce for CRM, React and Angular for frontend, Langchain and RAG for AI, n8n for automation, and Google Analytics and Power BI for reporting.
Fullpath is developing AI agent capabilities, maintaining LLM-as-judge frameworks for output quality, and heavily customizing and integrating Salesforce workflows for dealership operations.
Fullpath'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.