Lettria

No-code AI text analysis platform

Powerful no-code AI platform for text analysis. Optimize your insights effortlessly.
No-code AI text analysis platform
Dang contacted Lettria to claim their profile and to verify their information although Lettria has not yet claimed their profile or reviewed their information for accuracy.
No-code text analysis AI platform.

What are the primary features of Lettria?

Some of Lettria's primary use cases include:

  • Verbatim analysis - Analyzing survey responses, call transcripts, social media conversations and other sources to gain insights. Lettria's emotion analysis, sentiment analysis, concept extraction and natural language understanding capabilities are ideal for understanding the meaning and intent behind verbatim text data.
  • CRM enrichment - Analyzing data from call transcripts, emails, chat logs and more to extract details about customers, products, services and insights. These details are then used to enrich customer relationship management (CRM) systems, providing a more complete view of the customer and interactions. Lettria's named entity recognition and relation extraction modules are particularly useful for CRM enrichment.
  • Quality monitoring - Monitoring call center calls, chat logs, emails, and other conversational data to evaluate quality, ensure compliance, and gain feedback. Lettria's emotion analysis, sentiment analysis, and keyphrase extraction provide insights to improve processes and staff performance. Their platform's annotation capabilities also facilitate building ground truth data for training monitoring models.
  • Training local end-to-end large language models - Using transfer learning and model self-supervision techniques to produce language models tailored to a client's unique data, industry domain, task and more. Lettria incorporates and optimizes state-of-the-art models like BERT and GPT-3 but also enables training specialized models from scratch using a client's own data. Their platform automates and simplifies the complex process of developing end-to-end models.
  • And many more - Including lead generation, data enrichment and virtual assistants. Lettria's NLP solutions have a wide range of applications thanks to the platform revolving around understanding and generating human language. The Lettria platform and ecosystem (including the Lettria API) enables these solutions to be tailored to any industry or domain.

Can a user use Lettria for free?

Lettria offers a free trial of our no-code NLP platform and 3000 API credits to test our natural language capabilities with no credit card required. The free trial provides full access to our visual interface for building customized ML and pattern-based solutions, personalized support from our success team, and no obligation to continue using the platform after the trial. While Lettria is a commercial business, you can develop and test tailored NLP applications risk-free before deciding to fully adopt our technology.

Who are some clients that utilize Lettria?

Organizations like home retailer Leroy Merlin, postal service La Poste, consulting firm Sia Partners, and energy company Total Energies use Lettria's NLP solutions to gain data-driven insights. Client stories on our website detail use cases across industries, languages, and data types. Our diverse clients span retail, logistics, consulting, energy and more.

How can Lettria's GraphRAG platform improve RAG accuracy by 30%?

Lettria's GraphRAG platform improves RAG (Random Access Graph) accuracy by 30% by effectively parsing and processing complex unstructured data while maintaining quality control. The platform employs business-friendly graph-based technology that helps build trust and explainability into generative AI applications, thereby minimizing errors, hallucinations, and information loss often associated with traditional AI methods. By leveraging graph data and understanding the relationships within it, GraphRAG ensures that subtleties and context are preserved, leading to a significant improvement in RAG accuracy.

What are the benefits of using Lettria for generative AI applications?

Using Lettria for generative AI applications offers several benefits, including the ability to unlock deep and complex knowledge from cryptic and evolving data sources. Lettria's platform emphasizes maintaining explainability by tracing each assumption back to its source, ensuring machine credibility. It also promotes transparency through engaging business models and prevents hallucinations in AI by preserving data subtleties. Additionally, Lettria automates labor-intensive processes, transforming tedious tasks into efficient workflows, and helps build reliable AI applications that leverage graph-based data for more accurate outputs.

What types of customer success stories demonstrate Lettria's impact?

Lettria has demonstrated significant impact across various industries, as highlighted by customer success stories. For example, category managers have improved eCommerce product recommendations using automated document parsing and robust data model enrichment. Lettria implemented a system to process 50,000 online reviews per day for POS optimization within two weeks. Additionally, they have enabled the automatic processing of 1 million calls annually for conversational analysis in CRM systems. Furthermore, Lettria's solutions have aided in parsing medical reports, allowing machines to understand technical terminology and aiding investor relations teams in streamlining shareholder Q&A processes. These stories illustrate Lettria's powerful ability to process vast amounts of unstructured data and generate actionable insights.

Powerful no-code AI platform for text analysis. Optimize your insights effortlessly.

Does Lettria have a discount code or coupon code?

Yes, Lettria offers a discount code and coupon code. You can save by using coupon code when creating your account. Create your account here and save: Lettria.

Lettria Integrations

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Yes, Lettria has an affiliate program. You can find more info here.

Lettria has claimed their profile but have not been verified.

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