KKaltura AI Agents

Kaltura AI Agents automate the routine work of running a video library. Once administrators define rules, the Media Publishing, Accessibility and Moderation Agents caption, translate, dub, summarize, chapter, clip and moderate new content and run approval and compliance workflows without further prompting. Kaltura also sells Agentic Avatars, conversational video agents for marketing, support and training. The agents are best for media companies, telecom TV services, universities and enterprises that already host video on Kaltura.

A few things to know: the agents work inside Kaltura’s platform, terms are arranged through sales, and Kaltura has not yet published measured results for them. We rate them 7.7/10 on our scale. This review is based on Kaltura’s announcements, release notes and knowledge base; we have not used the product.

Feature Facts From Kaltura’s Pages and Investor Releases

Kaltura has published more about its agents’ features than about results. These are the facts we could confirm on Kaltura’s pages and in its investor releases, which give the clearest timeline of what shipped and when.

For a buyer, the release cadence is the most useful signal. Kaltura shipped a publishing agent in September 2025, agentic workflows in November and translation, dubbing and visual moderation in January 2026, which suggests the agents are under active development rather than a one-off launch.

Outcome data would add to that picture: hours saved, accuracy of captions or moderation, or named media customers using the agents. Kaltura’s product lead said at launch that it was working with dozens of customers on the Media Publishing Agent, so ask for a reference with a similar library and workflow. Kaltura’s customer base spans media, telecom TV services, higher education and corporate communications, so a reference from your own sector will be more telling than a general case study.

Rule-Configured Agents Running Inside the Video Platform

Kaltura’s media agents run inside its video platform, where an organization’s content, categories, metadata and players already sit. They are configured rather than chatted with.

Setting Up a Media Agent

1. Define rules. Administrators set which content types to publish, compliance checklists and enrichment steps.
2. Choose triggers. Agents fire when media is added to a category or subcategory, or from Automation Manager, and can be filtered by tags, creation date and owner.
3. Let it run. The agent captions, summarizes, chapters, clips, enriches metadata, translates, dubs and checks accessibility on its own.
4. Monitor. Dashboards show agent activity so teams can adjust rules.

Why Rules-Based Agents Suit Video Libraries

Most of the work in running a large video library is repetitive: every upload needs captions, many need translations, chapters and summaries help viewers find their way, and anything public needs a moderation check. Kaltura’s approach treats these as rules that fire automatically rather than as chat requests, which suits libraries that receive content continuously from many contributors. The trade-off is that the quality of the output depends on how carefully the rules, categories and approval steps are designed, and on how much human review an organization keeps in place for sensitive content.

The Three Media Agents

The Publishing Agent handles enrichment and publishing for content moving to live, on-demand and FAST services. The Accessibility Agent generates captions, audio descriptions, summaries and chapters, and since January 2026 can produce translated captions and dubbed audio tracks. The Moderation Agent analyzes transcripts and, since January 2026, images and scenes, automatically flagging potentially inappropriate content. All three can run approval and compliance workflows.

Agentic Avatars

Kaltura’s Agentic Avatars are conversational video agents built in its Conversational Agent Studio without coding. Users add knowledge, define behavior and goals, choose a voice and avatar, test the agent and embed it on a site or in Kaltura Virtual Events. The avatars can see, listen and respond, share screens and present media. In August 2026 Kaltura added emotional intelligence, so avatars adjust expressions and voice to a user’s tone, for use in demand generation, support, training, role-play and tutoring. Kaltura pairs avatars with PathFactory’s content intelligence in what it calls an Agentic Revenue Engagement platform for account-based marketing, and ISG Research named Kaltura an Exemplary Provider for Conversational AI in mid-2026, according to Kaltura.

Where the Agents Fit for Media and Telecom Services

Kaltura positions its media and telecom business around launching and monetizing content at scale, with streaming and AI personalization. The Media Publishing Agent is part of its Entertainment and Monetization solutions, alongside products such as TV Genie, which won NAB Streaming Product of the Year. For a TV service, the agent’s job is consistency: making sure every asset heading to a live channel, an on-demand catalog or a FAST channel carries the right captions, metadata, chapters and compliance checks, without an operations team doing each step by hand.

Editors Review Captions, Dubs and Moderation Flags

Administrators write the rules and decide which content each agent touches. Editors should review captions, translations, dubs and moderation flags, especially for broadcast or regulated content, and approval workflows exist for that purpose. Avatar conversations need knowledge that someone keeps current, and teams should test avatars with real users before putting them in front of customers or students.

No Standalone Pricing Outside the Platform

Kaltura’s agents are sold as part of its platform rather than as standalone products.

Scoping Agents and Metering for an Existing Customer

Without published prices, the useful scenarios are about scope.

Existing Kaltura media customer. The main questions are which agents your agreement includes and how translation, dubbing and moderation usage is billed. Start with one category of content and one agent, such as accessibility on new uploads, and expand once results are measured.

University or enterprise video team. Accessibility is the clearest win: automatic captions, audio descriptions and chapters on every upload. Ask whether these are included in your education or enterprise plan.

Other costs to plan for. Translation and dubbing volume, human review of captions for compliance, and setup time for rules and triggers all add to the real cost. Organizations with many content categories should budget time to design a rule set for each, since agents act only on the triggers and filters they are given. Avatar projects need people to build and maintain knowledge.

Accuracy, Languages and Metering Questions for Sales

Ask which agents and languages are generally available, how usage is metered, what accuracy Kaltura sees for captions and moderation, who reviews flagged content, which customers run the Media Publishing Agent in production, and how data from your library is used by the underlying AI models.

Starting With One Content Category and One Agent

Pick one content category with steady volume, such as lecture recordings, news clips or marketing videos. Turn on a single agent, usually accessibility, and set an approval step before content goes live. Track how many uploads the agent processes, how often editors correct captions or translations, and how long publishing takes compared with the previous month. If the numbers hold up, add moderation for user-generated content or the Publishing Agent for distribution, one at a time, so each change can be measured.

Kaltura AI Agents Compared With Dalet Dalia, Moments Lab and Syren by Synthesia

These are the closest alternatives on our site, covering media workflow agents and AI video presenters.

Kaltura and Dalet both embed agents where content already lives, so the choice follows the platform. Moments Lab works alongside existing systems for archive search. Synthesia is the self-serve option for presenter-led videos, while Kaltura’s avatars aim at live, conversational use. For a university or enterprise already hosting thousands of videos on Kaltura, switching platforms to gain another vendor’s agents rarely makes sense; the practical comparison is between turning on Kaltura’s agents and adding a separate tool, such as Moments Lab, for tasks Kaltura does not cover. More options are on our media agents page.

Media Companies and Universities Already on Kaltura

• Media companies on Kaltura: the Publishing Agent automates enrichment for live, on-demand and FAST channels.
• Universities and schools: accessibility agents caption and describe lectures; see our education agents.
• Global content teams: translated captions and dubbing extend reach without manual workflows, and the same rules apply to every new upload in a category.
• Platforms with user uploads: visual and transcript moderation flags inappropriate content, which helps teams that cannot watch every upload before it goes live.
• Marketing and training teams: Agentic Avatars add conversational video; compare with our video agents.

Small Creators and Organizations on Other Video Platforms

• Creators and small teams: self-serve editors such as Kapwing AI or invideo AI are simpler.
• Organizations on other video platforms: the agents run only inside Kaltura.
• Buyers needing proven outcomes: Kaltura has not yet published agent metrics.
• Newsrooms on Dalet or Nxtedition: those platforms’ own agents fit better.
• Teams wanting published prices: everything is arranged through sales.

Platform Fit, Review Needs and Packaging

• Platform fit: agent rules and workflows live in Kaltura and do not move with your library, so a later platform change means rebuilding automation as well as migrating video, captions and metadata.
• Review needs: automatic captions, translations and moderation still need human checks for compliance.
• Packaging: confirm which agents, languages and usage volumes your plan includes.
• Broad portfolio: Kaltura sells many products across media, education, events and marketing, so scope contracts carefully.
• User reviews: there are no public reviews for the agents yet, so rely on references and a pilot.
• Moderation limits: automated flags help triage but are not a final judgment; keep a person responsible for takedown and appeal decisions on user-generated content.
• Avatar expectations: emotional responses are a new feature; test them with your audience before wide use.

Emotional Intelligence Comes to Agentic Avatars

On August 4, 2026, Kaltura added real-time emotional intelligence to its Agentic Avatars, drawing on its eSelf.ai and PathFactory acquisitions. In January 2026, Kaltura released translation, dubbing and visual moderation for its Publishing, Accessibility and Moderation Agents, following the launch of Agentic Workflows in November 2025. On September 9, 2025, Kaltura unveiled its Media Publishing Agent ahead of IBC 2025.

Worth a Pilot for Organizations Already on Kaltura

For organizations already running video on Kaltura, the agents are worth switching on in a pilot. They score 7.7/10 on our scale. Publishing, accessibility, translation and moderation are high-volume, rules-based jobs that suit agents, and Kaltura has shipped steady improvements since launch, from a single publishing agent in September 2025 to agentic workflows, dubbing and visual moderation within five months.

Published pricing and results would lift the score. Start with accessibility on one content category, measure caption accuracy and staff time saved, ask Kaltura for a reference running the same agent, and keep human review on anything published to broadcast or regulated audiences. Compare more options on our media agents page.

Cost, the Publishing Agent and Translation With Dubbing

How Much Do Kaltura AI Agents Cost?

The agents are part of Kaltura platform agreements arranged through sales. Kaltura offers limited trials of Agentic Avatars.

What Does the Kaltura Media Publishing Agent Do?

It runs publishing rules, compliance checklists and enrichment steps that administrators define, applying captions, summaries, clips, chapters, metadata and accessibility checks to content across live, on-demand and FAST services.

Can Kaltura Agents Translate and Dub Video?

Yes. Since January 2026 the Publishing and Accessibility Agents can create translated captions and dubbed audio tracks in additional languages.

How Does Kaltura Moderate Content?

The Moderation Agent analyzes transcripts and, since January 2026, images and scenes, automatically flagging potentially inappropriate content for review.

What Are Kaltura Agentic Avatars?

They are conversational video agents built without code that see, listen and respond in real time, with emotional responses added in August 2026. They are used for marketing, support, training and tutoring.