Find and compare the best Artificial Intelligence software for Bolna in 2025
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Use the comparison tool below to compare the top Artificial Intelligence software for Bolna on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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HubSpot CRM
HubSpot
Free 23,650 RatingsHubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers. HubSpot CRM is more than just a tool. It's the lifeblood of your business. Our CRM is the ultimate solution to empower your team to create deeper customer relationships. It transforms how you interact with your clients. It offers a seamless integrated platform for sales and marketing, as well as customer service. HubSpot CRM gives you unparalleled insight into your customer interactions. It's all organized in a simple, intuitive dashboard that will increase the efficiency of your team. Our platform is designed to grow with your business, providing scalable solutions to adapt to changing business needs. HubSpot CRM also offers a robust, free version that is packed with essential features. This makes it the ideal choice for ambitious businesses. HubSpot CRM is the future of customer management. Every interaction with customers is an opportunity to grow. Get a demo to learn about our premium software, or get started with our full suite of free tool. -
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ElevenLabs
ElevenLabs
$1 per month 3 RatingsThe most versatile and realistic AI speech software ever. Eleven delivers the most convincing, rich and authentic voices to creators and publishers looking for the ultimate tools for storytelling. The most versatile and versatile AI speech tool available allows you to produce high-quality spoken audio in any style and voice. Our deep learning model can detect human intonation and inflections and adjust delivery based upon context. Our AI model is designed to understand the logic and emotions behind words. Instead of generating sentences one-by-1, the AI model is always aware of how each utterance links to preceding or succeeding text. This zoomed-out perspective allows it a more convincing and purposeful way to intone longer fragments. Finally, you can do it with any voice you like. -
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OpenAI's mission, which is to ensure artificial general intelligence (AGI), benefits all people. This refers to highly autonomous systems that outperform humans in most economically valuable work. While we will try to build safe and useful AGI, we will also consider our mission accomplished if others are able to do the same. Our API can be used to perform any language task, including summarization, sentiment analysis and content generation. You can specify your task in English or use a few examples. Our constantly improving AI technology is available to you with a simple integration. These sample completions will show you how to integrate with the API.
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Zapier
Zapier
$19.99 per month 22 RatingsAutomate your workflows by connecting your apps. Automate your life with ease. Zapier automatically moves information between your web apps so you can concentrate on your most important work. Just a few clicks will connect your web apps so they can share data. Zaps are workflows that allow you to share information between your apps. No code required to speed up processes and get more done. Discover how Zapier makes automation easy for everyone. Keep using the tools that work best for you. Zapier connects more web applications than anyone else, and we add new options each week. We integrate with apps like Facebook Lead Ads and Quickbooks, Quickbooks, Google Sheets and Google Docs. Our editor is designed for DIY automation. Zaps can be set up without the assistance of developers. Zapier's built in apps allow you to create powerful workflows, without having to use separate services. Zapier Agents transform the way businesses manage daily operations by automating routine tasks using AI-powered teammates. In minutes, users can build agents that perform actions across 7,000+ apps, such as qualifying leads, automating customer service responses, personalizing outreach emails, and more. -
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Llama 3
Meta
FreeMeta AI is our intelligent assistant that allows people to create, connect and get things done. We've integrated Llama 3. Meta AI can be used to code and solve problems, allowing you to see the performance of Llama 3. Llama 3, in 8B or 70B, will give you the flexibility and capabilities you need to create your ideas, whether you're creating AI-powered agents or other applications. We've updated our Responsible Use Guide (RUG), to provide the most comprehensive and up-to-date information on responsible development using LLMs. Our system-centric approach includes updates for our trust and security tools, including Llama Guard 2 optimized to support MLCommons' newly announced taxonomy, code shield and Cybersec Evaluation 2. -
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Llama 3.2
Meta
FreeThere are now more versions of the open-source AI model that you can refine, distill and deploy anywhere. Choose from 1B or 3B, or build with Llama 3. Llama 3.2 consists of a collection large language models (LLMs), which are pre-trained and fine-tuned. They come in sizes 1B and 3B, which are multilingual text only. Sizes 11B and 90B accept both text and images as inputs and produce text. Our latest release allows you to create highly efficient and performant applications. Use our 1B and 3B models to develop on-device applications, such as a summary of a conversation from your phone, or calling on-device features like calendar. Use our 11B and 90B models to transform an existing image or get more information from a picture of your surroundings. -
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Amazon Polly
Amazon
Amazon Polly turns text into speech. This allows you to create apps that talk and create new types of speech-enabled products. The Text-to-Speech service (TTS) by Polly uses advanced deep learning technology to synthesize natural sounding human voice. You can create speech-enabled apps that work in many countries using dozens of realistic voices from a wide range of languages. Amazon Polly also offers Standard TTS voices. However, Neural Text-to Speech (NTTS), voices are available that offer advanced speech quality improvements through a machine learning approach. The Neural TTS technology of Polly also supports two styles of speaking that will allow you to better match your application's delivery style to the speaker: a Newscaster reading style, which is best suited for news narration use cases; and a Conversational speaking style, which is ideal to facilitate two-way communication such as telephony applications. -
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Deepgram
Deepgram
$0You can use accurate speech recognition at scale and continuously improve model performance by labeling data, training and labeling from one console. We provide state-of the-art speech recognition and understanding at large scale. We do this by offering cutting-edge model training, data-labeling, and flexible deployment options. Our platform recognizes multiple languages and accents. It dynamically adapts to your business' needs with each training session. Enterprise-specific speech transcription software that is fast, accurate, reliable, and scalable. ASR has been reinvented with 100% deep learning, which allows companies to improve their accuracy. Stop waiting for big tech companies to improve their software. Instead, force your developers to manually increase accuracy by using keywords in every API call. You can train your speech model now and reap the benefits in weeks, instead of months or even years. -
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Llama 3.1
Meta
FreeOpen source AI model that you can fine-tune and distill anywhere. Our latest instruction-tuned models are available in 8B 70B and 405B version. Our open ecosystem allows you to build faster using a variety of product offerings that are differentiated and support your use cases. Choose between real-time or batch inference. Download model weights for further cost-per-token optimization. Adapt to your application, improve using synthetic data, and deploy on-prem. Use Llama components and extend the Llama model using RAG and zero shot tools to build agentic behavior. Use 405B high-quality data to improve specialized model for specific use cases. -
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HubSpot Customer Platform
HubSpot
FreeHubSpot's AI powered customer platform puts your customers first, allowing you to grow more effectively. Connect your front-office teams with a complete view on the customer journey. Use AI-powered tools for a seamless experience with customers. Easily adapt to new industry trends and technologies. Traditional CRMs are not enough to drive growth. Most CRMs are not designed to connect with customers, which is crucial in an AI-driven environment where customers can easily explore, evaluate and buy. HubSpot's Customer Platform is so much more. It's powered with Smart CRM, which combines AI and customer data to help you adapt. It also has products for engaging customers throughout the entire journey and an ecosystem that includes integrations, education and community. It's designed to help businesses connect with their customers and grow. -
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Llama 3.3
Meta
FreeLlama 3.3, the latest in the Llama language model series, was developed to push the limits of AI-powered communication and understanding. Llama 3.3, with its enhanced contextual reasoning, improved generation of language, and advanced fine tuning capabilities, is designed to deliver highly accurate responses across diverse applications. This version has a larger dataset for training, refined algorithms to improve nuanced understanding, and reduced biases as compared to previous versions. Llama 3.3 excels at tasks such as multilingual communication, technical explanations, creative writing and natural language understanding. It is an indispensable tool for researchers, developers and businesses. Its modular architecture enables customization in specialized domains and ensures performance at scale. -
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Whisper
OpenAI
We have developed and are open-sourcing Whisper, a neural network that approximates human-level robustness in English speech recognition. Whisper is an automated speech recognition (ASR), system that was trained using 680,000 hours of multilingual, multitask supervised data from the internet. The use of such a diverse dataset results in a better resistance to accents, background noise, technical language, and other linguistic issues. It also allows transcription in multiple languages and translation from these languages into English. We provide inference code and open-sourcing models to help you build useful applications and further research on robust speech processing. The Whisper architecture is an end-to-end, simple approach that can be used as an encoder/decoder Transformer. The input audio is divided into 30-second chunks and converted into a log Mel spectrogram. This then goes into an encoder. -
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Llama 2
Meta
FreeThe next generation of the large language model. This release includes modelweights and starting code to pretrained and fine tuned Llama languages models, ranging from 7B-70B parameters. Llama 1 models have a context length of 2 trillion tokens. Llama 2 models have a context length double that of Llama 1. The fine-tuned Llama 2 models have been trained using over 1,000,000 human annotations. Llama 2, a new open-source language model, outperforms many other open-source language models in external benchmarks. These include tests of reasoning, coding and proficiency, as well as knowledge tests. Llama 2 has been pre-trained using publicly available online data sources. Llama-2 chat, a fine-tuned version of the model, is based on publicly available instruction datasets, and more than 1 million human annotations. We have a wide range of supporters in the world who are committed to our open approach for today's AI. These companies have provided early feedback and have expressed excitement to build with Llama 2 -
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Llama
Meta
Llama (Large Language Model meta AI) is a state of the art foundational large language model that was created to aid researchers in this subfield. Llama allows researchers to use smaller, more efficient models to study these models. This further democratizes access to this rapidly-changing field. Because it takes far less computing power and resources than large language models, such as Llama, to test new approaches, validate other's work, and explore new uses, training smaller foundation models like Llama can be a desirable option. Foundation models are trained on large amounts of unlabeled data. This makes them perfect for fine-tuning for many tasks. We make Llama available in several sizes (7B-13B, 33B and 65B parameters), and also share a Llama card that explains how the model was built in line with our Responsible AI practices.
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