Ando Announces its Launch
Ando, the modern team messaging platform, led by Sara Du, has announced its launch with $20M in funding.
Language came before software. Early fascination with untranslatable words, obscure emotions, and Wittgenstein’s ideas about the limits of language eventually became a broader interest in how humans use language to coordinate across time, distance, and institutions.
That perspective became especially relevant with the arrival of LLMs. For the first time, non-human systems could participate in human symbol systems, and potentially collaborate with people in entirely new ways.
After building Alloy at the age of 19, the next step was a move toward the technological frontier. The opportunity seemed clear: technical progress had begun to outpace how most companies were using it, creating room for new forms of human-AI collaboration.
The launch of Anthropic’s MCP in December 2024 made tool-using agents increasingly practical. Early work building MCP servers and helping companies deploy agents revealed a recurring problem: most teams wanted agents inside Slack, but Slack and Teams were designed around software as applications, not AI systems as active participants in a team.
That became the premise behind Ando: building a workplace experience designed for humans and AI agents to collaborate as participants in the same team.
What is Ando? How is it Different from Existing Team Messaging Platforms?
Ando is team messaging designed for humans and AI agents to work together. It includes familiar tools such as channels, DMs, and calls, alongside infrastructure designed specifically for agents.
Instead of treating agents as apps or integrations, Ando treats them as workspace members. Agents can join relevant channels, appear alongside human colleagues in group DMs, and pick up work without requiring explicit tagging.
The platform is agent-agnostic, supporting agents built with systems such as Grokbot, Codex, Claude, and Devin. For teams without an existing agent harness, Ando also provides a native harness with cloud hosting managed by the platform.
The broader goal is a workplace where teams can combine human employees with a growing variety of agents, whether externally sourced or built in-house.
How Ando is used at Internally.
Within weeks of starting the company, the team moved its work from Slack entirely into Ando. The shift enabled faster collaboration by bringing more context-aware AI agents into the team’s day-to-day workflow.
The team now works with multiple agents running on different harnesses, reflecting the same variety of tools and working styles found among human teammates.
Who can use Ando Today.
Ando is currently designed for small teams already adapting their workflows around AI agents. Early users tend to be curious, open-minded teams willing to treat agents as colleagues rather than simply software tools.
The platform is particularly suited to teams where a few members have already become highly productive with agents and want those practices to spread across the organization, creating shared workflows, common tools, and collective learning.
Ando is starting with teams of 2–40 humans, allowing the product team to work closely with early users and refine the experience before expanding to larger organizations. Onboarding for teams with 40+ humans is expected to begin toward the end of the year.
Pricing.
Ando uses a simple per-human-seat pricing model. Agents are not charged based on messages, actions, or conversations, avoiding usage limits that could discourage teams from working with agents freely.
As human-and-agent workflows mature, pricing may evolve, but the principle remains the same: predictable and easy to understand.
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