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Runit RealTime CloudEstablished in New York City in 1992, Runit specializes in cloud-based retail management systems, specifically designed for high-end fashion, footwear, and gift retail chains. Our versatile platform offers comprehensive support around the clock, enabling seamless integration of operations across various locations such as stores, warehouses, and online platforms. Runit RealTime Cloud is designed to cater to any size of retail chain, whether you operate three, fifty, or even more stores, enhancing various aspects of your business including ordering, distribution, customer service, payment processing, and e-commerce functionalities. Compatible with PC, Mac, and iPad, Runit RealTime Cloud allows you to utilize existing hardware, making it a practical solution for retailers. Our extensive experience, combined with a flexible subscription model, ensures affordability for businesses with limited budgets, as we do not impose any lengthy contracts or hefty upfront payments. Don't hesitate to reach out for a customized demo to explore how our solutions can transform your retail operations today!
What is LangMem?
LangMem is a flexible and efficient Python SDK created by LangChain that equips AI agents with the capability to sustain long-term memory. This functionality allows agents to collect, retain, alter, and retrieve essential information from past interactions, thereby improving their intelligence and personalizing user experiences over time. The SDK offers three unique types of memory, along with tools for real-time memory management and background mechanisms for seamless updates outside of user engagement periods. Thanks to its storage-agnostic core API, LangMem can easily connect with a variety of backends and includes native compatibility with LangGraph’s long-term memory store, which simplifies type-safe memory consolidation through Pydantic-defined schemas. Developers can effortlessly integrate memory features into their agents using simple primitives, enabling smooth processes for memory creation, retrieval, and optimization of prompts during dialogue. This adaptability and user-friendly design establish LangMem as an essential resource for augmenting the functionality of AI-powered applications, ultimately leading to more intelligent and responsive systems. Moreover, its capability to facilitate dynamic memory updates ensures that AI interactions remain relevant and context-aware, further enhancing the user experience.
What is Lang.ai?
Lang transforms customer support interactions by automatically tagging them with customized data categories, resulting in a more than 60% decrease in average resolution time. By harnessing your customer support data, you can build a more efficient and smarter customer experience (CX) team. The improved categorization of support interactions facilitates the automation of numerous manual tasks, including ticket routing, triage, and prioritization, which drastically reduces the time needed to address issues. Every organization possesses a treasure trove of customer interaction data, and Lang empowers you to create personalized CX categories that enable effective collection and organization of this information. With the capability to generate actionable insights from your data effortlessly, you can boost customer retention rates and uncover potential revenue opportunities. Leveraging your distinct data language, Lang aids in the automatic tagging and categorization of customer interactions, highlighting new trends within your data. Additionally, you can easily implement automation based on these insights, ensuring seamless integration with critical CX systems. By facilitating real-time auto-tagging and categorization of incoming support tickets, you can provide a prompt and organized response to customer inquiries. This strategy not only optimizes workflows but also significantly improves overall customer satisfaction, creating a more robust relationship between the organization and its clientele. Ultimately, embracing these advanced tools can lead to a more proactive approach in addressing customer needs.
Integrations Supported
Dixa
Intercom
LangGraph
PydanticAI
Python
Salesforce
Zendesk
Integrations Supported
Dixa
Intercom
LangGraph
PydanticAI
Python
Salesforce
Zendesk
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
LangChain
Date Founded
2022
Company Location
United States
Company Website
langchain-ai.github.io/langmem/
Company Facts
Organization Name
Lang.ai
Company Location
Spain
Company Website
www.lang.ai/
Categories and Features
Categories and Features
Customer Feedback
Alerts / Notifications
Behavior Analytics
Bug Reports
Community Feedback Tools
Live Chat
Negative Feedback Management
Net Promoter Score (NPS)
Screenshot / Screen Capture
Surveys
User Testing Tools
Video Feedback
Visual Feedback Tools
Voice of the Customer (VoC)
Website Feedback
