Mattermost is excited to announce the release of v10.0, bringing with it a groundbreaking enhancement to our Mattermost Copilot plugin: support for multiple large language models (multi-LLM). This feature, designed to empower mission-critical enterprises, adds a new layer of flexibility, privacy, and control to your AI-driven workflows.

In Mattermost v10.0, accelerate your enterprise workflows and bolster resilience with a collaboration hub that integrates people, processes, and technology for mission-critical work.

In today’s dynamic work environment, fostering a company culture of teamwork is essential for success. Collaboration and transparency are the cornerstones of effective teamwork, enabling companies to leverage diverse skills, streamline processes, and achieve common goals. A strong culture of teamwork not only enhances productivity but also boosts employee morale and engagement, creating a positive and inclusive workplace.

At Mattermost, we’re on a quest to scale our application by one order of magnitude, from tens of thousands to hundreds of thousands of concurrently active users per installation. Scaling up is a complex effort involving expertise at several different levels. At its core, it’s a game of catching the next bottleneck — whether it’s application CPU usage, memory consumption, database throughput, networking, or any combination of the above (among other causes as well).

One of the biggest challenges for some of our customers was allowing non-engineering teams, such as Support, Sales, or Sustomer Success teams, to raise incidents for specific Dev/Infra/Security/Ops teams on Zenduty in a structured and efficient manner as soon as a customer reports an issue. In many organizations, we observed that non-technical team members often needed to switch between platforms, fill out complex forms, or reach out to multiple stakeholders manually to ensure that an issue is escalated.