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36 tools found

Email
GetResponse Email Generator

GetResponse's AI Email Generator uses innovative GPT-3.5 technology to create engaging emails in record time, tailored to industry trends and specific keywords, leading to a significant decrease in email creation time for users.

Coding
Pytorch

PyTorch is a machine learning library that provides tools and libraries for the development of computer vision, NLP, and more, with features such as distributed training, a robust ecosystem, and cloud support, and it is well supported on major cloud platforms

Coding
Cradl AI

Cradl AI is a no-code AI platform that automates document workflows for business critical document automation, offering fully customizable AI validator, encrypted transmission, and seamless integration with automation tools

Audio
MeetraAI

Meetra AI is a platform for conversation intelligence, offering easy implementation, no maintenance, and the ability to extract transcripts, summaries, key points, and questions from pre-recorded conversations, as well as analyze human conversation and interaction dynamics.

Image
Deep.Image

Deep Image AI is a platform that offers image upscaling and enhancement services, allowing users to improve the quality of their images for various purposes, such as social media and corporate use

Image
Amazing AI

Sindre Sorhus is a full-time open-sourcerer and aspiring rebel who is known for his work on various apps and code projects.

Productivity
Iris AI

Iris.ai is a comprehensive research platform that offers AI-powered tools for various aspects of research processing, including smart search, filtering, extraction, and summarization of data, allowing researchers to focus on value creation and adapt to their specific fields

Chatbots
Lyro by Tidio

Tidio's Lyro is an AI-powered conversational chatbot that analyzes customer questions and delivers human-like answers in seconds, reducing customers' waiting time and increasing their satisfaction.

Data
Prodigy

Prodigy is an annotation tool for AI, machine learning, and NLP, allowing data scientists to efficiently annotate data and train production-quality models with very few examples, enabling a more agile approach to data collection and faster project completion

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