EdCast (by Cornerstone) is a company within the Software category. EdCast is a learning experience platform (LXP) enterprise software brand owned by Cornerstone OnDemand. It is designed to provide AI-powered workforce agility, focusing on skills discovery, knowledge management, and personalized learning experiences for large organizations. Following its acquisition, the brand is being integrated into the broader Cornerstone Galaxy ecosystem.
EdCast (by Cornerstone) was founded in 2013 (EdCast), 1999 (Cornerstone) and is headquartered in Santa Monica, CA.
EdCast (by Cornerstone) is part of Cornerstone OnDemand.
EdCast (by Cornerstone) is rated Contender on the Optimly Brand Authority Index, a measure of how well AI models can accurately describe the brand. The exact score is locked for unclaimed profiles.
AI narrative accuracy for EdCast (by Cornerstone) is Moderate. Significant factual deltas detected. Inconsistent representation across models.
AI models classify EdCast (by Cornerstone) as a Challenger. AI names competitors first.
EdCast (by Cornerstone) appeared in 5 of 8 sampled buyer-intent queries (63%). The brand is highly discoverable as a legacy leader in the LXP space, but the 'discovery-to-landing' path is broken because AI models suggest the EdCast URL which is now a 404.
AI reliably identifies the brand's history as an LXP leader and its acquisition by Cornerstone. However, it fails to capture the immediate reality that the EdCast-specific web presence is being sunsetted in favor of 'Cornerstone Galaxy', leading to dead links in AI-generated responses. Key gap: The biggest gap is the 'zombie brand' status; while AI still treats EdCast as a standalone LXP, the parent company has integrated it into the 'Cornerstone Galaxy' platform, leading to broken URLs and redirected branding.
Of 5 key facts verified about EdCast (by Cornerstone), 3 are well-documented (likely accurate across AI models), 2 have limited sourcing, and 0 are retrieval-dependent and may be inaccurate without live search.
The most likely error is the description of EdCast as a standalone software entity rather than a feature set within the Cornerstone Galaxy platform.
Buyers turn to EdCast (by Cornerstone) for Manual Document Repositories: Using internal wikis, SharePoint, or Google Drive to manually organize and distribute learning materials., L&D Training Agencies: Hiring external L&D consultants to design and deliver quarterly or annual training programs., Status Quo/Tribal Knowledge: Relying on tribal knowledge and ad-hoc peer-to-peer sharing, leading to significant knowledge loss., among 3 documented problem areas.
Buyers evaluating EdCast (by Cornerstone) typically ask AI models about "best enterprise learning experience platform", "AI-powered LXP for large companies", "Cornerstone Galaxy features", and 2 similar queries.
EdCast (by Cornerstone)'s main competitors are Degreed, Viva Learning (Microsoft). According to AI models, these are the brands most frequently named alongside EdCast (by Cornerstone) in buyer-intent queries.
EdCast (by Cornerstone)'s core products are Cornerstone Galaxy, Learning Experience Platform (LXP), Talent Marketplace, AI-powered Skills Intelligence..
EdCast (by Cornerstone) uses Enterprise/Custom.
EdCast (by Cornerstone) serves Fortune 500 companies, global enterprises, HR and L&D departments..
EdCast (by Cornerstone) An AI-powered 'Workforce Agility' approach that integrates learning, skills, and performance into a single unified platform called Galaxy.
Brand Authority Index (BAI) tier: Contender (exact score locked for unclaimed brands)
Archetype: Challenger
https://optimly.ai/brand/edcast-by-cornerstone
Last analyzed: May 9, 2026
Founded: 2013
Headquarters: Santa Monica, California (Parent HQ)
This profile is part of the Optimly Brand Trust Registry — a verified index of 60,000+ brand profiles that AI models read from when answering buyer-intent questions about brands and categories. Optimly identifies which third-party sources AI cites about each brand, prepares structured brand information for those sources, and measures whether AI representation improves.
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