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Lettria

1.0.0

6

0

Data Analysis
Transform text into structured data using AI, no coding required.
Input:
Output:
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Updated: Oct 17, 2022 Contact for pricing

Description

Lettria's no-code AI platform simplifies the process of structuring text data with an easy-to-use, collaborative, and efficient approach. It enables users to develop tailored natural language processing (NLP) solutions and fully utilize their data's capabilities.

The platform provides solutions like voice2CRM, SEO enhancement, and customer feedback analysis. It also offers a range of tools and components for collecting, preparing, and annotating text data, including text collection and management, dictionary management, text labeling, and ontology management.

Lettria provides a comprehensive text annotation platform, enabling users to concentrate on the meaning and knowledge embedded within their text. The primary goal is to reduce the increasing failure rate of NLP projects.

The user-friendly, cloud-based platform is designed to boost productivity and automate repetitive tasks, making it accessible to business analysts, product teams, data engineers, and data scientists.

The platform supports extracting key information from call transcripts to improve business outcomes, automatically analyzing customer reviews, and providing both pre-trained and customizable multilingual models.

Lettria adapts to various roles, allowing users to create custom AI engines, access NLP APIs for faster deployment of NLP projects, provides a secure environment for cleaning and preparing text datasets, and frees up data scientists from routine tasks, allowing them to concentrate on designing and deploying AI models.

In summary, Lettria's no-code AI platform is a robust tool that effectively empowers users to leverage the full potential of their text data.

Pricing Plans

Model
no pricing
Packages
1 Package
Price Start From
Not specified
Payment Model
Not specified

Releases

The initial version of Lettria is now available.

Reviews

Pros & Cons

Pros

Efficient data structuring

Customer feedback analysis

Search engine optimization

Cons

Limited pre-trained language models

Lacks data visualization features

No clear integration methods

Q&A

New Released

New Released