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CS Angel Backed Joyn Team Joins Miro

  • Writer: Vinova Deniz
    Vinova Deniz
  • 6 days ago
  • 3 min read

Updated: 3 days ago

Today, we are privileged to share a meaningful update from our portfolio. The entire Joyn team has joined Miro. Larissa Licha (Joyn CEO and Co-Founder) is starting a new role as Product Director, AI Context and Memory. Kendra Wilkins (Joyn COO and Co-Founder), is joining Miro as Product Director, AI Prototyping. This next chapter reflects a long held belief that guided Joyn from the beginning. AI is only as good as its context.


Larissa Licha, CEO and Co-Founder at Joyn  (pictured left) and Gemma Cipriani-Espineira, Founder at CS Angel & Head of Digital at Atlassian (right) at the Women of Customer Success Conference in NYC 2025
Larissa Licha, CEO and Co-Founder at Joyn  (pictured left) and Gemma Cipriani-Espineira, Founder at CS Angel & Head of Digital at Atlassian (right) at the Women of Customer Success Conference in NYC 2025

Joyn's Journey


Joyn started with a simple but deeply operator-driven insight from Larissa and Kendra’s experience in product, CS, and Chief of Staff roles. The hardest part of cross-functional work is not effort. It is alignment.

Business and technical teams often operate from different versions of reality, scattered across tools, meetings, and Slack threads. The behind-the-scenes chaos for employees ends up impacting customers, resulting in poor customer retention and reduced growth.

CS Angel invested in Joyn’s pre-seed in June 2024, backing their vision to solve this by building an AI-powered Chief of Staff to unite Product & Engineering with Sales & CS. The product centralized information by integrating with the tools teams already used, including Jira, Notion, Gong, Salesforce, Linear, and Slack.

Joyn focused on contextualizing work. Instead of more dashboards or more notifications, the system translated progress into insights tailored to different teams, helping customer-facing leaders understand what mattered without chasing product updates.

As customers adopted the product, the team began to notice something important.

Delivering reliable, trusted insights depended less on presentation and more on what happened underneath. Every meaningful answer required assembling the right data, resolving inconsistencies, and understanding how work evolved across systems.

Over time, it became clear that Joyn’s greatest strength was not just the assistant itself, but the context infrastructure that made the assistant dependable.

This insight led the team to invest deeply in natural language processing, knowledge graphs, and systems for grounding AI in real organizational workflows.


Larissa Licha hosted an AI AMA, providing an AI cheatsheet for Customer Success operators
Larissa Licha hosted an AI AMA, providing an AI cheatsheet for Customer Success operators

Moving Forward With Miro


Not every strong product finds the distribution it deserves. What matters is choosing the path that maximizes impact for the mission, and it takes a strong founder to know when to pivot.


Despite great customer feedback, distribution for Joyn became a challenge. Larissa sharpened the teams focus toward context infrastructure. Joyn’s NLP engine and knowledge graph infrastructure strengthen AI agents and assistants for large enterprises, where value lives or dies on integration, grounding, and reliable context. This view lines up with recent MIT analysis reporting that roughly 95% of enterprise generative AI pilots fail to deliver measurable impact, largely due to poor integration into real workflows and lack of grounding in the right context.


In comparison, Joyn customers found it to be the only reliable AI providing an output that doesn't require endless validation. When Joyn rolled out their MCP, which connects directly to LLMs like Claude, ChatGPT, and Gemini to ensure they only process relevant data they saw a clear demand for broader infrastructure use cases.


This focus came around the same time that Miro posted the search for experienced founders to lead 0 to 1 AI initiatives at Miro. Furnished with the experience of building Joyn, Larissa aligned with the vision of Andrey Khusid (CEO at Miro) and Jeff Chow (Chief Product and Technical Officer at Miro) and found a new home for the team. At Miro, the Joyn team will own the AI context layer at a scale that serves more than 100M users, functioning as a core moat for the company.



For CS Angel, this is part of the journey of backing founders early. Great ideas deserve room to evolve. Great founders deserve partners who support them to pursue their highest path of impact.


We are proud of what the Joyn team built. We are excited to see Larissa, Kendra, and the entire team continue that mission at Miro. And we are grateful to the angels and operators who made this journey possible.

 
 
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