Panopto vs TwelveLabs

Panopto launches new ways to find, study, and use knowledge captured in video

Panopto announced three new capabilities: Folio, AI Search, and MCP Server, to help people find answers faster, turn trusted video into active learning, and put knowledge to work.

Panopto launches Folio, AI Search, and MCP Server

Panopto, a leader in AI-powered video knowledge management, announced three new capabilities: Folio, AI Search, and MCP Server. Folio turns recorded content into active learning tools like study guides and quizzes. AI Search allows conversational queries across the video library with timestamped answers. MCP Server enables secure integration with AI assistants like Claude and ChatGPT, while maintaining permissions and data privacy. These features aim to improve accessibility and usability of organizational video knowledge.

• Panopto announced three new capabilities: Folio, AI Search, and MCP Server.
• Folio generates study guides, flashcards, and practice quizzes from video content.
• AI Search provides conversational answers with links to exact source clips and timestamps.

Panopto announces new research, WeVideo partnership, Inc. 5000 recognition, and platform innovations

Panopto released new research on video-based learning, partnered with WeVideo for advanced video editing, earned its 7th Inc. 5000 recognition, and announced new platform innovations including Knowledge Intelligence and ISO certifications.

TwelveLabs Marengo Now in Amazon Bedrock Knowledge Base

TwelveLabs, a video intelligence company, announced two major developments. First, its Marengo video model is now available as an embedding model in Amazon Bedrock Managed Knowledge Base, enabling managed semantic video search on AWS. This integration automates ingestion, indexing, and search, eliminating the need for custom infrastructure or vector databases, while supporting metadata filters and keeping data within the customer's AWS account. Second, TwelveLabs released Pegasus 1.6, a model for egocentric video understanding in physical AI applications, such as robots, drones, and autonomous vehicles. Pegasus 1.6 supports five workflows: action segmentation, dense caption labeling, quality scoring, search/curation, and consent/compliance flagging. It builds on Pegasus 1.5 with improved entity recognition and faster processing. The CEO, Jae Lee, emphasized the mission to help machines understand the world through video.

• TwelveLabs' Marengo model is now available as an embedding model in Amazon Bedrock Managed Knowledge Base for managed semantic video search.
• Pegasus 1.6, built on Pegasus 1.5, is released for physical AI, enabling egocentric video understanding for robots, drones, and autonomous vehicles.
• Pegasus 1.6 supports five core workflows: action segmentation, dense caption labeling, quality scoring, search/curation, and consent/compliance flagging.

Marengo 3.5: Precision & Control for Frontier Video Intelligence

New blog post announcing Marengo 3.5, a frontier video intelligence model, along with posts on Compliance by TwelveLabs and a partnership with Quickplay.

TwelveLabs Launches Compliance App for Video Screening

TwelveLabs, a video intelligence company, announced the general availability of Compliance by TwelveLabs, a new SaaS solution for media, entertainment, and broadcast teams to screen video content against regional and custom compliance standards. The tool uses AI to identify potential violations with supporting rationale, reducing review time from a week to minutes for a two-hour master. It integrates NVIDIA's Synthetic Video Detector for real-time media authenticity checks and targets false-positive rates of 15% or lower. The app debuts after TwelveLabs' $100 million Series B and is the first application built on its full-stack agentic video intelligence platform. Features include rule pack authoring, real-time reviewer workflows, synthetic media flagging, and API-first access.

• TwelveLabs announced general availability of Compliance by TwelveLabs, a video content compliance SaaS.
• The solution integrates NVIDIA's Synthetic Video Detector for real-time authenticity scoring.
• It reduces manual review time for a two-hour video from about a week to minutes.