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Conversational Intelligence

Analyze conversations in your company and sell more, understand users, increase UX

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Lower your customer care cost by automating repetitive processes

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Media Monitoring

is here! 🎉

VoiceLab.AI, leader in Conversational AI now brings TRURL, an instruction-following large language model (LLM) which has been fine-tuned for number of business domains such as e-commerce and customer support.

TRURL brings additional support for specialized analytical tasks:

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    Dialog structure aggregation

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    Customer support quality control

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    Sales intelligence and assistance

TRURL can also be implemented effectively on-premise:

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    We will build a GPT model for you

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    Trained securely on your infrastructure

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    Trained on your dataset

Discover Trurl Alpha version!
TRURL hero

Vencode harnesses TRURL to build a company chat system, seamlessly integrating information from provided documents and the website for enhanced communication within the organization.

Discover solution Beta version!

VoiceLab at PolEval and NLP day

Our NLP Team at Voicelab in cooperation with the University of Lodz prepared one of the challenges at Poleval 2021.

PolEval is a set of annual ML challenges for Polish NLP, inspired by SemEval. Submissions compete against one another within certain tasks selected by organizers, using available data, and are evaluated according to pre-established procedures.

Punctuation restoration

The purpose of our Task 1: Punctuation restoration from read text is to restore punctuation in the ASR recognition of texts read out loud. Along with the Task we shared the dataset and WikiPunct, consisting of over 1500 recordings and 32,000 texts. WikiPunct is a crowdsourced text and audio data set of Polish Wikipedia pages read aloud by Polish lectors. The dataset is divided into two parts: conversational (WikiTalks) and information (WikiNews). Over a hundred people were involved in the production of the audio component. The total length of audio data reaches almost thirty-six hours, including the test set. Steps were taken to balance the male-to-female ratio.

Read more about the data and the task here. Data has been published in the following repository (repository). Gold-standard test data annotation has been published in the „secret” branch.

Use advanced AI-fueled technologies to improve your business

NLP Day

Come and see us on 25th October at the NLP day conference on the PolEval track. First, we will introduce our Task, and the four first winners will describe their approaches.

As an official Partner, we invite you to register for the AI & NLP conference with our unique promo code: FREE524, which will give you free access to all presentations during the first two days of the conference.