Kaltura vs Livestorm
Side-by-side trajectory, velocity, and editorial themes.
Kaltura goes all-in on agentic AI video — Event OS, avatar roleplay, and an open-sourced AI Agent Skills suite.
Kaltura is in the middle of a sharp pivot toward agentic AI for rich-media platforms. In a single month it has open-sourced an AI Agent Skills suite (so any third-party AI agent can build rich-media experiences), introduced Event OS for AI Agents (natural-language event creation and orchestration), unveiled an avatar-powered roleplay solution for enterprise training, and is presenting an Agentic Revenue Engagement Platform at Forrester. The releases are tightly aligned around one thesis.
The arc is clearly from a video platform into an agentic-AI orchestration layer that happens to specialize in video. Kaltura is staking out the position that video, events, training, and revenue engagement should all be run through AI agents talking to its platform — and is willing to open-source the agent-skills layer to make Kaltura the default endpoint for rich-media agents.
Expect a paid agent runtime or pricing model on top of the open-sourced skills, deeper avatar/roleplay options for enterprise L&D, and Event OS plug-ins for major collaboration platforms (Teams, Slack, Google Workspace). The next big tell will be how serious enterprise adoption of Event OS becomes versus staying a demo-stage capability.
Livestorm buys AI video startup Qlip to own what happens after the webinar ends.
Ten years in, Livestorm just made its first visible acquisition, bringing AI video company Qlip in-house to address post-recording webinar workflows. The surrounding feed mixes real platform milestones — a public API, an MCP integration, usage-based enterprise pricing, a HubSpot partnership — with marketing content. The company is repositioning from a live-webinar tool toward an AI-assisted video platform spanning the full event lifecycle.
Livestorm is extending past the live event itself toward the recording-and-after phase, where AI repurposing of webinar video is the wedge. The Qlip deal, layered on prior moves toward openness (public API, MCP) and flexible pricing, signals a platform that wants to own both the broadcast and what teams do with the footage afterward.
Expect Qlip's technology to surface as native post-webinar features — automated clipping, summaries, or repurposing of recordings — given the stated focus on 'what happens after the recording ends.'
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