Aampe announced it has deployed over 100 million intelligent agents into consumer applications across four continents. The company also announced $18 million in Series A funding led by Theory Ventures, bringing its total funding to $27.3 million, to accelerate the adoption of its agentic infrastructure. Z47 is also participating in the round.
Businesses that deployed Aampe agents include some of the leading food delivery and on-demand apps in South and Southeast Asia, top sports and fitness apps in Europe, and major fintech and entertainment apps in the U.S. The agents manage 15-200 billion decisions every week that determine product surface interactions.
Conventional approaches to personalizing digital products have relied on humans manually creating rules and segments to determine what users see and when. This approach often requires teams to manually orchestrate the message or product surface that will best serve the end user’s interests, whether they’re purchasing, evaluating content options, or trying new features. With consumer preferences rapidly and continually changing, the conventional approach creates a human bottleneck and a non-scalable operational workload.
Aampe’s infrastructure takes a different approach: It deploys a unique AI agent for each user that continuously learns from interactions and intelligently decides what to show, when, and whether to show anything at all. Created to constantly monitor usage and engagement data, each agent skillfully observes and learns the user’s changing preferences. Then, agents are responsible for translating inferences into optimal management of the user’s interactions with the product, enabling genuine 1:1 personalization even for products that serve tens of millions or more users daily.
Launched in 2020 by a trio of scientists, Aampe emerged from a unique combination of expertise. Meinshausen, who previously co-founded PaySense (which was acquired by Prosus/PayU for $185 million), met co-founder Schaun Wheeler in a U.S. Army Intelligence Analysis unit in 2009.
Along with Sami Abboud, a former semiconductor engineer and neuroscience PhD, the founding team combines backgrounds in cognitive and behavioral science, engineering, and experimentation. And they’ve harnessed their specialized backgrounds to design a new AI architecture for user interaction.
Instead of using traditional machine learning or generative AI alone, Aampe’s infrastructure utilizes a subset of AI called reinforcement learning to enable continuous, parallelized experimentation. And each agent learns and adapts in real time, helping their user manage their attention and make complex choices in a world of material and content abundance. These agents operationalize their decisions by intelligently managing a range of existing product and marketing tools – including data platforms and warehouses, marketing delivery platforms, and product analytics tools, allowing companies to extract more value from their current technology investments.
The company’s privacy-centric approach, which uses zero-PII storage practices and anonymized behavioral patterns, has attracted major consumer businesses across Southeast Asia and North America. It has also deployed over one hundred million (100,000,000) agents for enterprise customers across four continents.
As Aampe scales up, it plans to double its team by the end of 2025. The company will focus on helping enterprise customers successfully migrate their workflows and adopt agentic infrastructure into their organizations.
Aampe looks to power the next generation of consumer applications through its easy-to-deploy agentic infrastructure. While their earliest applications focused on on marketing and messaging channels, Aampe has been rapidly extending their agents capabilities to manage the entire user experience—from interface layouts to feature discovery—enabling every interaction to adapt continuously to every user and their preferences at any given point in time.
KEY QUOTES:
“Consumer applications today almost universally look the same to everyone who opens them, with personalization limited to narrow recommendation feeds. We’ve designed and developed infrastructure that enables every aspect of an application to adapt to each user’s context and preferences, continuously. Our mission is to fundamentally improve the way users experience digital products.”
- Paul Meinshausen, CEO and co-founder of Aampe
“Customers now expect brands to know what they want and respond instantly – standards have gone up. The future of engagement in owned media lies in AI systems that learn from each customer’s behavior and adapt automatically to deliver personalized experiences. Unlike older systems that follow rigid rules, these AI agents evolve with the customer, keeping every interaction relevant without extra effort from the business. This isn’t just a new trend – it’s where everything is headed. For brands looking to stay competitive, adopting this approach isn’t optional; it’s the difference between sounding irrelevant and sounding like you understand them. Aampe is for me a leap in that direction which brings a novel approach to individual customer needs.”
- Alexander Beresford, CGO / CMO at Taxfix
“AI agents can make decisions at a scale that is impossible for any human. Aampe allows customer engagement teams to craft experiences for their diverse user base, versus just one or two flows targeted at the typical person. This new type of infrastructure will be transformational for companies looking to provide personalization driven by data.”
- Andy Triedman, Partner at Theory Ventures
“The world of app engagement has not delivered on the promise of deep learning led personalization. Agentic AI provides the opportunity to break through. Paul and the team at Aampe are shaping the future of agentic infrastructure for user journey personalization, with excellent feedback and adoption from their early customers.”
- Aakash Kumar, Managing Director at Z47
