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Description

Anthroly serves as a specialized data laboratory and provider of expert data tailored for pioneering AI laboratories and modeling teams. The company acquires operational data from American enterprises—including workplace communications, emails, support inquiries, customer relationship management histories, phone calls, software code, engineering documentation, and various other records—and processes this information into de-identified datasets, reinforcement learning frameworks, agent pathways, supervised fine-tuning materials, and assessment tools. Additionally, Anthroly engages in the recruitment and evaluation of professionals such as engineers, scientists, medical experts, and specialists in Indic languages to develop expert-crafted tasks, benchmarks, model outputs, and evaluation metrics. Their projects often encompass bespoke sourcing, expert analysis, grading rubrics, automated assessment tools, and comprehensive quality evaluations. Anthroly emphasizes that its model involves licensing data with identifiers removed prior to transfer, ensuring that data usage remains within the limits set by contractual agreements. The initiation of expert-data projects can commence with a pilot phase lasting one to two weeks, while the pricing for licensing and project scopes is customized to meet individual client needs. This tailored approach allows for flexibility and precision, making it easier for clients to access the expertise they require.

Description

Bitext specializes in creating multilingual hybrid synthetic training datasets tailored for intent recognition and the fine-tuning of language models. These datasets combine extensive synthetic text generation with careful expert curation and detailed linguistic annotation, which encompasses various aspects like lexical, syntactic, semantic, register, and stylistic diversity, all aimed at improving the understanding, precision, and adaptability of conversational models. For instance, their open-source customer support dataset includes approximately 27,000 question-and-answer pairs, totaling around 3.57 million tokens, 27 distinct intents across 10 categories, 30 types of entities, and 12 tags for language generation, all meticulously anonymized to meet privacy, bias reduction, and anti-hallucination criteria. Additionally, Bitext provides industry-specific datasets, such as those for travel and banking, and caters to over 20 sectors in various languages while achieving an impressive accuracy rate exceeding 95%. Their innovative hybrid methodology guarantees that the training data is not only scalable and multilingual but also compliant with privacy standards, effectively reduces bias, and is well-prepared for the enhancement and deployment of language models. This comprehensive approach positions Bitext as a leader in delivering high-quality training resources for advanced conversational AI systems.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

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Screenshots View All

Integrations

Hugging Face No 

Integrations

Hugging Face Yes 

Pricing Details

U.S. data suppliers pay no listing fee or commission. Licensed records are priced individually after a de-identified sample review. Expert-data work can begin with a free or low-cost 1–2 week pilot.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

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) No 
Online Support No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Anthroly

Website

www.anthroly.com

Vendor Details

Company Name

Bitext

Founded

2008

Country

United States

Website

www.bitext.com/training-datasets/

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Product Features

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