MoEngage Acquires Aampe to Bring AI Agents to Customer Marketing

June 24, 2026
MoEngage has acquired San Francisco-based Aampe to integrate its AI agent technology into its customer engagement platform, enabling one-to-one personalization at scale.

MoEngage has acquired San Francisco-based Aampe, announced in a press release. The deal brings Aampe's reinforcement learning engine directly into MoEngage’s system, creating a unified platform where marketing workflow agents and decisioning agents for individual users operate together.

Aampe provides an AI infrastructure that assigns a dedicated autonomous agent to each customer. The technology enables brands to personalize communication by determining what to say, when to say it, and through which channel, while continuously learning from user behavior. MoEngage said that Aampe's privacy-centric architecture aligns with global data protection standards by avoiding the storage of personally identifiable information.

Following the acquisition, Aampe’s founding team, including CEO Paul Meinshausen, will join MoEngage to lead its Agentic Decisioning initiatives. Aampe’s existing customers, which include Taxfix, ZenBusiness, Grab, and Swiggy, will continue to be supported and will gain access to MoEngage’s expanded engineering and data science resources.

MoEngage serves more than 1,350 consumer brands across 75 countries and operates with about 820 employees after incorporating Aampe’s team. The company said the integration of Aampe’s per-user agents will allow both existing and new clients to access individual-level agentic decisioning without disruption to their current systems.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like Enterprise AI Brief, AI Funding Brief or Daily AI Brief.

Also, consider following us on social media:

Subscribe to AI Funding Brief

Market report

Superagency in the Workplace: Empowering People to Unlock AI’s Full Potential

This report explores the transformative potential of artificial intelligence in the workplace, emphasizing the readiness of employees versus the slower adaptation of leadership. It highlights the significant productivity growth potential AI offers, akin to historical technological shifts, and discusses the barriers to achieving AI maturity within organizations. The report also examines the role of leadership in steering companies towards effective AI integration and the need for strategic investments to harness AI's full capabilities.

Read more