Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Lang revolutionizes support interactions by auto-tagging them with personalized data categories, leading to a reduction in average resolution time by over 60%. By leveraging your customer support data, you can create a more efficient and intelligent customer experience (CX) team. Enhanced categorization of support interactions allows for the automation of various manual tasks such as ticket routing, triage, and prioritization, which significantly shortens the time it takes to resolve issues. Every organization holds a wealth of customer interaction data, and Lang empowers you to establish tailored CX categories to gather and organize this data more effectively than ever before. With the ability to easily generate actionable insights from your data, you can enhance customer retention and identify potential revenue streams. Utilizing your own unique data language, Lang assists in the automatic tagging and categorization of customer interactions, revealing new patterns within your data. Moreover, you can effortlessly set up automation based on these insights, integrating seamlessly with essential CX systems. By enabling real-time auto-tagging and categorization of incoming support tickets, you can ensure a swift and organized response to customer inquiries. This approach not only streamlines processes but also enhances overall customer satisfaction.
Description
PREP by Continual Engine is an PDF remediation tool designed for organizations that need consistent output at scale. AI drives up to 95% auto-tagging and can reduce manual effort by up to 80%, while a side-by-side screen reader preview gives reviewers a practical way to validate accessibility before publishing.
Compliance is central to PREP, with support for WCAG 2.2 AA, PDF/UA, ADA Title II, and Section 508. The platform integrates with existing workflows via REST API and LMS connectors. Security and privacy needs are addressed through SOC 2 Type II certification, GDPR alignment, and
encrypted data handling across the pipeline.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Dixa
No
Flip
No
Intercom
No
Salesforce
No
Zendesk
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$75 Monthly
Education/Non-Profit: $75 Monthly (Annual Subscription + Optional Add-Ons)
Corporate Tier 1: $85 Monthly (Annual Subscription + Optional Add-Ons)
Corporate Tier 2: $150 Monthly (Annual Subscription + Optional Add-Ons)
Commercial Subscription: $210 Monthly (Annual Subscription + Optional Add-
Ons)
Corporate Tier 1: $85 Monthly (Annual Subscription + Optional Add-Ons)
Corporate Tier 2: $150 Monthly (Annual Subscription + Optional Add-Ons)
Commercial Subscription: $210 Monthly (Annual Subscription + Optional Add-
Ons)
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Lang.ai
Country
Spain
Website
www.lang.ai/
Vendor Details
Company Name
PREP
Founded
2017
Country
United States
Website
www.continualengine.com/prep-pdf-remediation-software/
Product Features
Customer Feedback
Alerts / Notifications
No
Behavior Analytics
No
Bug Reports
No
Community Feedback Tools
No
Live Chat
No
Negative Feedback Management
No
Net Promoter Score (NPS)
No
Screenshot / Screen Capture
No
Surveys
No
User Testing Tools
No
Video Feedback
No
Visual Feedback Tools
No
Voice of the Customer (VoC)
No
Website Feedback
No
Product Features
Annotations
No
Convert to PDF
No
Digital Signature
No
Encryption
No
Merge / Append
No
PDF Reader
No
Watermarking
No