Ando wants to take on Slack with a team messaging app that lets humans and agents work together
Source Entity
Dominic-Madori Davis
Startup Ando has secured $20 million in funding to build a new team messaging platform designed specifically for human-AI agent collaboration. By treating agents as core participants rather than external integrations, the platform aims to eliminate the inefficiencies of traditional tools like Slack.
The Next Evolution of Team Collaboration
The emergence of Ando, a startup founded by Sara Du, marks a significant shift in how enterprise communication platforms are conceptualized. Having secured $20 million in pre-seed and seed funding from prominent venture capital firms such as Accel, Index Ventures, and Emergence, the company is positioning itself to disrupt the dominance of established players like Slack and Microsoft Teams. The core premise hinges on the realization that current communication architectures are fundamentally ill-equipped to handle the rise of autonomous AI agents.
The Failure of Legacy Platforms
As Du observed during her work with Model Context Protocol (MCP) servers in 2025, users were desperate to integrate AI agents directly into their existing workflows. However, they encountered significant technical bottlenecks. Moving data between agents and messaging platforms proved costly and inefficient, often leading to excessive token consumption and a lack of necessary context. These hurdles were not merely technical glitches but symptoms of a design philosophy that treats software as a series of siloed applications rather than a fluid, collaborative environment.
Redefining the Agent's Role
Historically, communication platforms have been designed as human-centric hubs where software integrations act as passive recipients of commands. Du’s thesis challenges this by arguing that agents should no longer be treated as mere 'apps' to be installed. Instead, she envisions a future where AI agents are active, first-class participants in team discussions. By elevating the agent's status within the chat interface, Ando seeks to create a more integrated workflow that mirrors how modern, AI-augmented teams actually operate.
Eliminating the 'Meat Proxy'
One of the most compelling aspects of Ando’s mission is the elimination of what Du calls 'meat proxies.' This term describes the current, inefficient reality where human employees must manually act as intermediaries, relaying information back and forth between AI systems and human teams. This manual relay creates latency, introduces human error, and prevents the scaling of AI-driven productivity. By automating the communication flow between humans and agents, Ando aims to remove these artificial barriers.
Broader Implications and Future Trends
This development signals a broader trend in the software industry: the migration from 'chat as a message board' to 'chat as an operational substrate.' As businesses continue to deploy specialized AI agents for coding, project management, and data analysis, the need for a native environment that supports these entities becomes critical. If Ando succeeds, it could force a fundamental rethink of the SaaS landscape, potentially triggering a wave of innovation where the distinction between a 'user' and an 'agent' becomes increasingly blurred in the professional workspace.
Conclusion
Ando’s approach represents a bold bet on the future of work. By securing significant early-stage funding, the company has the resources to challenge the status quo and prove that the next generation of messaging requires an architecture built for the agent-native era. As the industry watches, the success of this platform will likely hinge on its ability to provide seamless, context-aware interactions that prioritize efficiency over the legacy constraints of traditional messaging platforms.