Lotlinx operates a VIN-level performance platform that optimizes inventory decisions for automotive dealers. The tech stack reveals heavy investment in AI agents (LangGraph, CrewAI, AutoGen) alongside core CRM and RevOps tools (Salesforce, HubSpot, Outreach, NetSuite), with active projects focused on autonomous Salesforce administration and agentic AI platform integration—indicating a shift from analytics-only toward operational automation. Hiring is accelerating but lean (5 open roles), concentrated in sales (3) and engineering (2), both at manager/senior levels, suggesting scaling of go-to-market and AI infrastructure rather than broad headcount growth.
Lotlinx builds an AI-powered platform that gives automotive dealers granular control over inventory optimization and pricing. The core product analyzes VIN-level performance data and shopper behavior to help dealerships maximize per-vehicle profit without relying on markdown-driven margins or external market signals. Founded in 2012 and based in Peterborough, New Hampshire, the company serves the automotive retail sector. The platform integrates with dealer management systems (NetSuite) and sales stacks (Salesforce, HubSpot, Outreach) to embed recommendations directly into operational workflows.
Salesforce, OpenAI, Anthropic, Python, AWS, Kubernetes, LangGraph, CrewAI, AutoGen, LangChain, HubSpot, NetSuite, Jira, GitLab, and Gearset.
Building autonomous AI agents for Salesforce administration, designing AI integration strategy across RevOps stacks, and scaling microservices on AWS to support agentic AI platform capabilities.
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Lotlinx'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.