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27 tools found

Machine Learning
MLnative

MLnative offers unprecedented speed and scale in MLOps, allowing users to play with foundational models on their AI Playground, access machine learning insights via their blog, and receive product development updates by subscribing to their platform

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.

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.

Business
Jusi

Jusi is an AI technical specification generator created by Konstantin Doronin, allowing the creation of technical specifications for apps or websites and the identification of suitable performers using AI

For Fun
Vee

Vee.ai is an intelligent consultant that has spoken with millions of people, effectively implementing business processes for various companies across different industries.

No Code
Riku.ai

Riku.AI is a platform that allows users to build no-code prompts and datasets for AI models, embed AI into chat tools, prompt apps, workflows, websites, and more, and get human feedback to understand how users respond to each generation of models and apps.

Developer Tools
rankode AI

Rankode AI is a tool that uses GitHub or existing code to generate personalized reports on programmer skills without the need for coding tests

Text To Speech
BlogAudio

BlogAudio is a tool that converts text to high-quality audio speech, making it suitable for articles, podcasts, and voiceovers

Chatbots
AI Chat

The AI Chat from User.com is a highly adaptable chat technology powered by GPT that enables customers to receive highly personalized and instant on-demand answers faster, automating communication with customers and moving support teams to more important tasks.

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