Aampe
Category: AI Agents
Agentic AI infrastructure platform that assigns a dedicated AI agent to each individual customer for personalized engagement and messaging optimization. Aampe was founded in 2020. The company is led by Paul Meinshausen. Based in San Francisco, California, United States. Team size: 101-500. Total funding raised: $28M. Latest round: Series A. Key investors include Peak XV Partners (formerly Sequoia Capital India), Z47 (formerly Matrix Partners India), Theory Ventures.
- Founded
- 2020
- Headquarters
- San Francisco, California, United States
- Team size
- 101-500
- Total funding
- $28M
Value proposition
Replaces rigid rule-based CRM systems with autonomous AI agents that continuously learn individual user preferences through reinforcement learning, enabling true 1:1 personalization at scale without manual segmentation or A/B testing.
Products and solutions
Aampe Agentic Infrastructure (dedicated AI agents per user for personalized messaging and in-app experiences), Audience Intelligence (dynamic, behavior-based audience building), Journey Orchestration, Real-Time Decisions, Experimentation & Insights, Content Intelligence
Unique value
Assigns a dedicated AI agent to every individual user that continuously learns and adapts — replacing static segments, manual journeys, and campaign rules with dynamic, individualized optimization at scale (15-200 billion decisions per week).
Target customer
Consumer app companies, e-commerce platforms, fintech apps, food delivery services, and subscription apps with large user bases needing personalized customer engagement
Industries served
Food delivery, E-commerce, Fintech, Sports & fitness, Entertainment, On-demand services
Technology advantage
Reinforcement learning-based agentic AI architecture that runs continuous, parallelized experiments per user; zero-PII storage with anonymized behavioral patterns; integrates with existing CDPs, CPaaS, data warehouses, and analytics tools; generalizable across industries due to event-stream/click-stream data structure
How they differentiate
Unlike competitors that rely on static segmentation and manual campaign rules, Aampe deploys a unique reinforcement learning agent per user that runs thousands of parallel experiments continuously, learning individual preferences in real time without human intervention.
Main competitors
Braze, OfferFit, Hightouch, Klaviyo, Netcore Cloud
Key partnerships
MoEngage (acquired June 2026), Integrations with major CDPs, data warehouses, content management systems, and engagement tools
Notable customers
Swiggy, Grab, Taxfix, PayU, ZALORA, HAAT, IntelyCare
Major milestones
Founded 2020, Raised $1.8M pre-seed from Sequoia Surge (Dec 2020), Raised $7.5M seed from Matrix/Peak XV (Oct 2023), Deployed 100M+ AI agents across 4 continents, Raised $18M Series A led by Theory Ventures (Dec 2024), Acquired by MoEngage for tens of millions in all-cash deal (June 2026), 150% ARR growth in year prior to acquisition
Growth metrics
150% ARR growth in the year prior to acquisition; 30% increase in new user conversions reported by customers; 4x increase in customer retention; 128% improvement in engagement; 135% increase in GMV after onboarding; 15-200 billion decisions per week managed by agents
Market positioning
Pioneer in agentic AI for customer engagement — differentiated from traditional marketing clouds (Salesforce Marketing Cloud, Adobe Experience Cloud) and customer engagement platforms (Braze, MoEngage pre-acquisition) by its per-user agent architecture rather than segment-based rules
Geographic focus
Global (US, Europe, Asia-Pacific) with strong presence in India, Southeast Asia, and North America
About Paul Meinshausen
Co-Founder & former Chief Data Officer at PaySense (acquired by PayU/Prosus for $185M in 2019); Harvard University (Research Methodology, Quantitative Methods, Computer Science); MA from Middle East Technical University; US Army Intelligence Analysis unit veteran
Official website: https://aampe.com