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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.

What is Crewship?

Crewship serves as a tailored platform for developers aiming to streamline the deployment of AI agent workflows. With a single command, users can launch their CrewAI, LangGraph, and LangGraph.js agents while monitoring their live execution. Key functionalities include one-command deployment, real-time execution streaming, artifact management, auto-scaling features, version control, and secure secrets handling. By managing the underlying infrastructure, Crewship allows developers to focus on crafting outstanding AI agents. Furthermore, it plans to introduce multi-framework support soon, incorporating tools like AutoGen, Pydantic AI, smolagents, OpenAI Agents, Mastra, and Agno, which will significantly broaden its functionality and user base. This all-encompassing approach guarantees that developers are equipped with all necessary resources for productive and effective AI development right at their disposal. Ultimately, Crewship positions itself as an indispensable ally for developers in the evolving landscape of AI technology.

Media

Media

No images available

Integrations Supported

CrewAI
Dixa
Flip
Intercom
LangGraph
Salesforce
Zendesk

Integrations Supported

CrewAI
Dixa
Flip
Intercom
LangGraph
Salesforce
Zendesk

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
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

Lang.ai

Company Location

Spain

Company Website

www.lang.ai/

Company Facts

Organization Name

Crewship

Date Founded

2026

Company Location

Switzerland

Company Website

crewship.dev

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

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