AI platform for B2B revenue operations and customer journey management
MaxIQ builds an AI-driven platform targeting RevOps, Sales Ops, and CS leaders. The stack reveals a full-cycle product: Django + Python + React for the core platform, Salesforce for CRM integrations, LangChain + LlamaIndex for AI reasoning, and AWS + Redis for infrastructure. Active projects center on agentic AI systems and Salesforce role-specific insights, paired with heavy observability investment (New Relic + Sentry) — a pattern that reflects their stated focus on API reliability and scalability as a constraint.
MaxIQ is a San Francisco-based AI platform for B2B revenue operations, founded in 2022. The product targets RevOps, Sales Ops, and Customer Success teams at mid-market B2B companies, automating deal acceleration, renewal management, and expansion opportunity capture. The platform integrates deeply with Salesforce and captures buyer signals to surface AI-driven insights and automated workflows. The company operates at 11–50 employees with engineering-led hiring (mostly senior and lead roles), distributed across the United States and India.
MaxIQ uses Django + Python + React on AWS, with PostgreSQL/MySQL for data, Redis for caching, Salesforce for CRM integration, and LangChain + LlamaIndex for AI. Testing is built on Postman, TestNG, and REST Assured; observability via New Relic and Sentry.
MaxIQ is building agentic AI systems for revenue operations, including a Salesforce integration layer for role-specific insights and an observability stack to support API reliability and scalability.
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