Production took five months. Now, AI generates live, animated role-play scenarios with virtual mentors.
A global workforce learning platform serving 140 million users across 7,000 organizations, offering immersive augmented and virtual reality training experiences.
Production timelines for immersive training simulations could stretch up to five months, making it difficult to keep content relevant. Furthermore,...
“Cornerstone has more than 25 years of experience and a long history of investments in AI. When we started our effort on building an LLM-agnostic, open platform that will power our future generative AI use cases, Llama and its technology ecosystem align perfectly with our ethos of providing ethical, responsible, and transparent AI.”
Cornerstone's Employee training simulations is part of this use case:
AI-powered talent experience and learning management platform for enterprises.
Social technology company developing AI frameworks, VR hardware, and digital platforms.
Related implementations across industries and use cases
Learners wasted time hunting for multimedia content. An AI assistant now lets them ask questions to locate training instantly.
Static modules lacked depth for 500M roles. AI now drives custom, multilingual voice interviews with sub-180ms latency.
Manual screening bottlenecked mass hiring. Agents now staff facilities in <72 hours, cutting a week-long process to days.
Manual roleplays bottlenecked managers, leaving reps to practice on live calls. Now, reps rehearse against realistic AI personas.
Manual coaching bottlenecked reps. An AI bot now simulates doctor visits in 14 scenarios, saving 7,000 hours annually.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Production took five months. Now, AI generates live, animated role-play scenarios with virtual mentors.
A global workforce learning platform serving 140 million users across 7,000 organizations, offering immersive augmented and virtual reality training experiences.
Production timelines for immersive training simulations could stretch up to five months, making it difficult to keep content relevant. Furthermore,...
“Cornerstone has more than 25 years of experience and a long history of investments in AI. When we started our effort on building an LLM-agnostic, open platform that will power our future generative AI use cases, Llama and its technology ecosystem align perfectly with our ethos of providing ethical, responsible, and transparent AI.”
Cornerstone's Employee training simulations is part of this use case:
AI-powered talent experience and learning management platform for enterprises.
Social technology company developing AI frameworks, VR hardware, and digital platforms.
Related implementations across industries and use cases
Learners wasted time hunting for multimedia content. An AI assistant now lets them ask questions to locate training instantly.
Static modules lacked depth for 500M roles. AI now drives custom, multilingual voice interviews with sub-180ms latency.
Manual screening bottlenecked mass hiring. Agents now staff facilities in <72 hours, cutting a week-long process to days.
Manual roleplays bottlenecked managers, leaving reps to practice on live calls. Now, reps rehearse against realistic AI personas.
Manual coaching bottlenecked reps. An AI bot now simulates doctor visits in 14 scenarios, saving 7,000 hours annually.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.