BusinessWednesday, March 18, 2026· 2 min read

Microsoft brings Cove team onboard, strengthening AI collaboration expertise

TL;DR

Cove, a Sequoia‑backed AI collaboration startup, is shutting down as its core team joins Microsoft. The move preserves talent and expertise while promising broader reach for the team's collaboration-focused AI work; customers are advised to export data before service ends on April 1.

Key Takeaways

  • 1Cove is winding down operations and will delete customer data after April 1; users should export their data promptly.
  • 2Microsoft hired Cove's team, preserving engineering and product talent and creating opportunities to scale their collaboration AI work.
  • 3The acquisition-by-hiring could accelerate AI collaboration features within Microsoft's ecosystem, benefiting a larger user base.
  • 4Cove customers receive clear timelines for service shutdown and data deletion to enable a smooth transition.

Microsoft hires Cove team as startup winds down

Sequoia‑backed AI collaboration startup Cove is shutting down after its core team accepted roles at Microsoft. Cove will end its service on April 1 and has said customer data will be deleted thereafter, giving users a clear window to export and migrate important information.

The positive angle is that the team's work and expertise will continue inside one of the world's largest software platforms. By joining Microsoft, the Cove engineers and product people gain resources and scale that can help the collaboration-focused AI ideas they built reach many more users than the small startup could on its own.

For existing Cove customers, the company has provided a firm timeline: export your data before April 1 to avoid loss. For the broader market, the hire signals Microsoft’s ongoing investment in AI-enabled collaboration, and it increases the likelihood that innovations tested at Cove will be refined and shipped at enterprise scale.

What to expect next:

  • Customers should back up and export data ahead of the April 1 shutdown.
  • Microsoft may integrate the team’s expertise into its collaboration and productivity products, potentially accelerating useful features for many users.
  • Talent preservation via acquisition-by-hiring helps keep promising AI work alive and scalable within an established platform.

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