Sony Group
Knowledge management
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
- 60,000 internal users adopted generative AI platform
Teams across 70 businesses built AI in silos. A secure hub now lets engineers test models and deploy custom chatbots to 32,000 employees.
A Japanese conglomerate operating one of the country's largest online shopping malls and over 70 distinct businesses across e-commerce, travel, fintech, and communications.
Onboarding and supporting business clients across the massive marketplace required intensive manual assistance from dedicated consultants....
“LangSmith allows us to get things done scientifically. At a large company, usually multiple teams develop their ideas independently. Some teams find good approaches, while others don’t. By using LangSmith Hub, we could distribute the best prompts and promote collaboration across teams. By using LangSmith Testing and Eval with our custom evaluation metrics, we can run experiments on multiple approaches (models, cognitive architecture, etc.) and measure the results. By combining the benefits of LangSmith and standing on the shoulders of a gigantic open-source community, we’re able to identify the right approaches for using LLMs in an enterprise-setting faster.”
Internet services ecosystem spanning e-commerce, fintech, and telecommunications.
Framework and developer platform for building LLM-powered applications.
Rakuten Group's Knowledge management is part of this use case:
Related implementations across industries and use cases
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Massive updates took a month. Now, autonomous agents run 24 parallel sessions to ship features in just 5 days.
Manual categorization delayed revenue. Staff-built agents now auto-classify products for 91% faster onboarding, with human oversight.
Teams hunted for context across Slack and Jira. By integrating 20+ tools, AI now queries 7 years of history, saving 9 hours weekly.
Siloed data and anxiety held back adoption. HR’s "Middle Out" strategy unified systems, turning scattered docs into trusted answers.
An aging homegrown CRM held back 1,700 agents. Now, an AI co-pilot helps them draft faster, higher-quality emails from a single screen.
Managers spent hours manually calling applicants, losing many to delays. Now, an AI agent screens and auto-schedules interviews via text.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Teams across 70 businesses built AI in silos. A secure hub now lets engineers test models and deploy custom chatbots to 32,000 employees.
A Japanese conglomerate operating one of the country's largest online shopping malls and over 70 distinct businesses across e-commerce, travel, fintech, and communications.
Onboarding and supporting business clients across the massive marketplace required intensive manual assistance from dedicated consultants....
“LangSmith allows us to get things done scientifically. At a large company, usually multiple teams develop their ideas independently. Some teams find good approaches, while others don’t. By using LangSmith Hub, we could distribute the best prompts and promote collaboration across teams. By using LangSmith Testing and Eval with our custom evaluation metrics, we can run experiments on multiple approaches (models, cognitive architecture, etc.) and measure the results. By combining the benefits of LangSmith and standing on the shoulders of a gigantic open-source community, we’re able to identify the right approaches for using LLMs in an enterprise-setting faster.”
Internet services ecosystem spanning e-commerce, fintech, and telecommunications.
Framework and developer platform for building LLM-powered applications.
Rakuten Group's Knowledge management is part of this use case:
Related implementations across industries and use cases
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Massive updates took a month. Now, autonomous agents run 24 parallel sessions to ship features in just 5 days.
Manual categorization delayed revenue. Staff-built agents now auto-classify products for 91% faster onboarding, with human oversight.
Teams hunted for context across Slack and Jira. By integrating 20+ tools, AI now queries 7 years of history, saving 9 hours weekly.
Siloed data and anxiety held back adoption. HR’s "Middle Out" strategy unified systems, turning scattered docs into trusted answers.
An aging homegrown CRM held back 1,700 agents. Now, an AI co-pilot helps them draft faster, higher-quality emails from a single screen.
Managers spent hours manually calling applicants, losing many to delays. Now, an AI agent screens and auto-schedules interviews via text.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.