Ivan Zhou

AI agents are becoming increasingly capable partners across software development, customer support, legal, finance, and many other functions. Unlike humans, agents can process large amounts of context, retrieve information on demand, operate independently 24/7, and work in parallel at scale. Today, most of our interactions with agents remain limited, happening inside individual apps or one-to-one conversations. However,

Ando is building a new messaging product for that world. Humans and agents work side by side, with agents participating in conversations and taking action while respecting the same boundaries you would expect from human teammates. Instead of working with agents across a growing collection of isolated apps, teams can collaborate with them in one shared environment where context carries across conversations. That shared context becomes more valuable over time. And because Ando is designed to work across different agents and functions, its value grows as teams bring more AI into their workflows. A more complex agent stack only makes this common collaboration layer more important.

Ando is building a new messaging product for that world. Humans and agents work side by side, with agents participating in conversations and taking action while respecting the same boundaries you would expect from human teammates. Instead of working with agents across a growing collection of isolated apps, teams can collaborate with them in one shared environment where context carries across conversations. That shared context becomes more valuable over time. Every interaction helps the system better understand the team, making the agents in a workspace more aligned and more proactive.