Conversion

Conversion is an agentic marketing automation platform that lets marketing teams describe what they want in plain language and have AI agents handle the execution across campaigns, workflows, and customer data. The product unifies Salesforce and customer data in one model and layers two-way CRM sync, warehouse sync, real-time segmentation, a WYSIWYG email editor, and no-code orchestration on top , with agents taking on the repetitive work that marketing ops teams usually grind through by hand. It is aimed at B2B software companies that run complex nurture programs and want fewer humans clicking through builders. This launch introduces Conversion Labs, the company's internal AI research group, and its first public result is a context optimization effort for long-running agents. According to the launch, the team stripped roughly 70,000 tokens out of every request their agent makes, which shaves about two seconds off response time. For a marketing platform where agents are expected to run multi-step campaigns, segment audiences, and draft personalized sends in a loop, that per-call savings compounds quickly across cost, latency, and the practical ceiling on how long an agent can keep working before its context degrades. The company is based in San Francisco and was founded by Neil Tewari and James Jiao, UC Berkeley dropouts building an AI-native marketing automation platform , with backing from a Series A round led by Abstract Ventures . The Labs announcement signals that Conversion wants to be judged on the engineering behind its agent runtime, not only the surface features, which matters for buyers deciding whether to trust an agent to touch their pipeline and their sends.