aiqbench analysis
Ando positions itself as a native collaboration layer designed specifically for an ecosystem where AI agents are active participants rather than peripheral tools. By addressing the architectural limitations of current platforms like Slack, the startup aims to eliminate human relays and allow agents to directly engage in shared work contexts with proper identity and context management. This represents a significant shift toward infrastructure that supports hybrid human-agent workflows as a core feature, not an add-on.
Ando wants to take on Slack with a team messaging app that lets humans and agents work together

The app gives agents their own identities and inboxes and lets them partake in conversations as naturally as people can.
When Sara Du was helping companies build MCP servers in 2025, people kept asking her how they could use AI agents from within Slack itself. But there were a bunch of technical hurdles in the way: moving messages back and forth and getting agents the right context, all without burning through token budgets. Upon digging into the problem, Du realized that there was a deeper issue that stemmed from how communication platforms were designed. “The deeper I went, the more…
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