Pantheon
Pantheon is an AI-powered software platform designed to identify, profile, engage, and map healthcare professionals and Key Opinion Leaders (KOLs). It uses advanced analytics to mine data from a variety of sources such as conference speaking engagements, publications, clinical trial activity, and social media to build comprehensive profiles of influential figures in the healthcare industry. Pantheon helps users manage relationships with these leaders by streamlining the engagement process, enabling tracking of interactions and activities. It offers features like sentiment analysis, customized reporting, and integration with CRM systems, allowing for seamless coordination across different teams. Pantheon supports the pharmaceutical and healthcare sectors in enhancing collaboration with thought leaders for clinical trials, sales, marketing, and product development. The platform is customizable and compliant with industry standards.
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Muse Code
Muse Code is Meta’s terminal coding agent, powered by Muse Spark 1.2, for handling complex software engineering tasks across large repositories. The agent can plan changes, write code, validate results, and coordinate multiple persistent subagents during development sessions. Muse Code uses async background agents that stay active throughout a session to reduce repeated information gathering and help complete multi-step tasks with less steering. Its runtime uses a local event log that records model calls, tool runs, approvals, and edits so sessions can be replayed and resumed after failures. Muse Code includes bundled skills such as /plan for approval-gated planning, /grill for stress-testing plans, and /goal for working toward completion. Built for AI developers and software teams, Muse Code helps automate coding workflows, long-running engineering tasks, debugging, and repository-level development.
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Hooksy
Hooksy is an AI-powered ad research and creative intelligence platform designed to help marketers and content creators discover, analyze, and replicate high-performing advertising content across social media. It provides access to a large database of over 10 million ads across platforms such as Meta, TikTok, YouTube, LinkedIn, and Instagram, allowing users to search, filter, and study winning creatives in seconds instead of manually browsing ad libraries. It includes advanced features such as “Brand Spy,” which tracks competitor activity and sends alerts when new ads are launched, as well as tools for saving, organizing, and building swipe files of effective ad examples for future use. Hooksy also incorporates AI-powered video processing capabilities that can extract transcripts, identify hooks, and analyze scripts from ads or videos, enabling users to understand what drives engagement and convert those insights into their own campaigns.
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Muse Spark 1.2
Muse Spark 1.2 is Meta’s coding-focused model update designed to power Muse Code and improve software engineering workflows. The model is built for code generation, complex debugging, codebase understanding, long-horizon development tasks, and end-to-end developer workflows. Muse Spark 1.2 was co-trained with Muse Code to improve performance inside the terminal coding agent environment. It supports planning, goal conditioning, context compaction, subagent coordination, and iterative coding workflows across large repositories. The model was trained with expanded coding compute, diverse development environments, self-improvement loops, and long-running engineering tasks. Built for AI developers and software teams, Muse Spark 1.2 helps agents plan, write, validate, debug, and optimize code with greater autonomy.
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