Best AI tools for< Customize Call Handling >

Slang.ai is a voice AI tool designed specifically for restaurants to intelligently handle phone calls. It allows restaurants to answer questions, take reservations, and provide a seamless customer experience. The tool is built to understand different accents, answer common questions, and manage reservations efficiently. Slang.ai helps restaurants increase reservations, improve ROI, and save time by handling calls 24/7. It offers customizable experiences, real-time analytics, and easy setup within minutes.

Simple Phones is an AI-powered virtual phone system that allows businesses to never miss a call from customers. The application uses AI agents to answer inbound and outbound calls, log call details, offer affordable pricing plans, provide customization options, and support multiple languages and accents. Users can create their own AI agent in just 60 seconds and customize it for various use cases, such as booking appointments, answering FAQs, and routing calls to different team members. Simple Phones aims to enhance customer communication and streamline call handling processes for businesses of all sizes.

Rosie is an AI answering service designed for home services and small businesses. It offers a cost-effective solution to handle business calls, ensuring that no call goes unanswered. Rosie uses advanced AI technology to answer calls, take messages, and notify users promptly. With features like custom message taking, call recordings, and easy setup process, Rosie helps businesses manage their incoming calls efficiently and professionally.

Agent4 is an AI-driven virtual agent platform that allows users to create custom voice experiences for callers to their business or mobile phone. The platform enables users to build intelligent agents that can answer calls, place calls, book meetings, listen to voicemails, and provide summaries. Agent4 offers real-time call monitoring, sentiment analysis for voicemails, and filtering out robocallers. Users can customize their agents with their own content and access their systems, making it a versatile tool for various call handling tasks.

AI Answering Service is an AI application that provides 24/7 AI receptionists for small businesses. It helps businesses handle calls, capture leads, and provide instant responses to common inquiries. The service is designed to scale with business needs, offering personalized service for small businesses while also capable of handling high call volumes. AI Answering Service aims to improve customer service, boost customer satisfaction, and reduce stress by automating incoming calls during peak hours.

Second Nature is an AI-powered sales training software that offers life-like role-playing simulations to enhance sales skills and productivity. It provides personalized AI role plays, customized simulations, and virtual pitch partners to help sales teams practice conversations, improve performance, and drive results. The platform features AI avatars, template libraries, and various training modules for different industries and use cases.

PaddleBoat is an AI-powered sales readiness platform designed to help sales representatives improve their cold calling skills through realistic AI roleplays. It offers automated call feedback, insights on objection handling, best calling practices, and areas for improvement in every roleplay. PaddleBoat aims to accelerate sales excellence by providing real-time insights, customizing roleplays, and minimizing ramp-up time for sales reps. The platform allows users to create engaging training programs, courses, wikis, and interactive videos to enhance their sales pitch skills and boost their confidence in sales conversations.

echowin is an AI-powered virtual receptionist and phone answering service that helps businesses manage incoming calls and customer inquiries efficiently. It uses advanced AI logic and reasoning to provide uninterrupted service in over 30 languages. The platform offers features such as smart call routing, call actions, real-time transcriptions, and multi-platform accessibility. echowin's AI receptionist works 24/7 to ensure businesses capture and convert every lead, offering a competitive advantage with crystal-clear calls and intelligent conversation handling. The application is designed to handle complex inquiries, customize voice and personality, and ensure secure handling of sensitive information for various businesses.

Greetmate.ai is an AI Virtual Receptionist application that provides an easy-to-use virtual receptionist service for small businesses. It harnesses the power of GPT and Natural Voice Processing to offer a natural voice experience for handling calls and inquiries. Users can customize their virtual receptionist with different voices, accents, and languages. Greetmate.ai allows users to create custom skills for their bot, impart relevant knowledge, and set up personalized introductions. The application is designed to help businesses never miss a call and provide efficient customer service.

ConvoLinx is an AI-powered virtual receptionist that optimizes call handling, resolves inquiries, and drives cost-effective customer support. It offers features such as customizable interactions, continuous availability, call forwarding, appointment scheduling, and custom call flows. ConvoLinx seamlessly integrates into business processes, allowing for the collection of specific customer information and the provision of tailored solutions. Its unique customer call flows can be customized for any interaction, creating personalized call handlers to improve customer experience and drive satisfaction.

OpenCall.ai is an AI call center application that offers businesses a customized AI solution to handle calls, appointments, and customer inquiries. It streamlines operations, improves customer satisfaction, and increases revenue by eliminating wait times and providing a personalized experience. The AI is tailored to fit different industries like medical, beauty, real estate, and more, ensuring seamless integration with existing processes. OpenCall.ai is easy to deploy, powerful in customization, private in data handling, and reliable in solving common communication challenges.

Limeline is an AI-powered meeting assistant application that revolutionizes communication by enabling users to create, conduct, and conclude meetings seamlessly. It offers automated AI agents for meetings and calls, real-time transcripts and summaries, AI-curated meetings, and branded call experiences. Limeline enhances team productivity across various industries such as Sales, Customer Success, Research, Recruiting, Marketing, IT, and Education by automating routine communications and increasing attendance. With Limeline, users can let AI do the talking, dive into insights, and focus on the important parts of meetings without worrying about taking notes.

Thalla is an AI-powered reminder application that helps users set up personalized reminders with the assistance of artificial intelligence. Users can create one-time or recurring reminders for various tasks, habits, follow-ups, and meetings. The application allows customization of reminders with notes or specific instructions, and it provides smart suggestions based on user behavior. Thalla also offers the feature of scheduling call reminders for teammates or collaborators, making it a versatile tool for enhancing productivity and organization. With a minimalistic design and instant updates, Thalla aims to simplify the reminder process and improve efficiency for its users.

Voicemail Greeting Generator is an online tool that allows users to create high-quality voicemail messages with naturally sounding voices and optional background music in just a few minutes. Utilizing cutting-edge AI technology, the tool offers a quick and hassle-free way to generate professional voicemail greetings for various industries and use cases. With transparent pricing and secure payment options, Voicemail Greeting Generator aims to enhance professional communication needs for businesses and individuals alike.

Talkdesk is an AI-powered cloud contact center platform that helps businesses deliver exceptional customer experiences, reduce costs, and improve operational efficiencies. It offers a range of AI-driven solutions for industries, self-service, omnichannel engagement, workforce management, employee collaboration, and customer experience analytics. With features like automating customer self-service, empowering agents, generating insights, and customizing workflows, Talkdesk aims to revolutionize customer service through the power of AI.

AIReception is a conversational AI voice assistant platform that allows businesses to build virtual receptionists capable of answering customer questions 24/7. The AI voice assistants are designed to replicate human speech patterns and interactions, providing a natural and immersive experience. The platform offers features such as hyper-realistic voices, human-like interaction, perfect memory, customizable responses, and call transferring. AIReception aims to enhance customer service, reduce overhead costs, and provide detailed analytics for customer interactions.

Blazeo is an AI-powered platform that offers solutions for ad conversion, lead capture, lead qualification, appointment scheduling, and more. It provides tools like live chat, voice call centers, virtual assistant, and SMS communication to help businesses engage with customers effectively. Blazeo aims to ignite growth for its customers by delivering innovative solutions with passion, speed, and energy.

Trellus is an AI assistant designed for sales professionals using platforms like Salesloft, Outreach, Hubspot, and Orum Coach. It offers features such as autodialer integration, instant connect on pickup, AI-generated research, single platform usage, and affordable pricing. Trellus aims to enhance sales conversations, increase call volume, and improve overall efficiency for sales reps. The application is loved by reps for its seamless integration with various platforms and customizable features for teams.

Hyperbound is an AI Sales Role-Play & Upskilling Platform designed to help sales teams improve their skills through realistic AI roleplays. It allows users to practice cold, warm, discovery, and post-sales calls with AI buyers customized for their target persona. The platform has received high ratings and positive feedback from sales professionals globally, offering interactive demos and no credit card required for booking a demo.

Guidejar is an AI-powered tool that allows users to create interactive product demos and step-by-step guides effortlessly. It simplifies complex processes by providing easy-to-follow guides with AI superpowers. Trusted by teams worldwide, Guidejar helps transform any process into an interactive demo or guide. Users can customize their guides, share them easily, and enhance them with AI magic, voiceovers, and translations. With features like browser extension, branding, step management, guide views, and call-to-action, Guidejar boosts user activation and conversion rates. It offers different pricing plans to cater to various user needs, from free basic features to premium plans with extensive customization and analytics.

Call Center AI is an AI-powered call center solution leveraging Azure and OpenAI GPT. It allows for AI agent-initiated phone calls or direct calls to the bot from a configured phone number. The bot is customizable for various industries like insurance, IT support, and customer service, with features such as accessing claim information, conversation history, language change, SMS sending, and more. The project is a proof of concept showcasing the integration of Azure Communication Services, Azure Cognitive Services, and Azure OpenAI for an automated call center solution.

Eval-Scope is a framework designed to support the evaluation of large language models (LLMs) by providing pre-configured benchmark datasets, common evaluation metrics, model integration, automatic evaluation for objective questions, complex task evaluation using expert models, reports generation, visualization tools, and model inference performance evaluation. It is lightweight, easy to customize, supports new dataset integration, model hosting on ModelScope, deployment of locally hosted models, and rich evaluation metrics. Eval-Scope also supports various evaluation modes like single mode, pairwise-baseline mode, and pairwise (all) mode, making it suitable for assessing and improving LLMs.

Bolna is an open-source platform for building voice-driven conversational applications using large language models (LLMs). It provides a comprehensive set of tools and integrations to handle various aspects of voice-based interactions, including telephony, transcription, LLM-based conversation handling, and text-to-speech synthesis. Bolna simplifies the process of creating voice agents that can perform tasks such as initiating phone calls, transcribing conversations, generating LLM-powered responses, and synthesizing speech. It supports multiple providers for each component, allowing users to customize their setup based on their specific needs. Bolna is designed to be easy to use, with a straightforward local setup process and well-documented APIs. It is also extensible, enabling users to integrate with other telephony providers or add custom functionality.

PocketGroq is a tool that provides advanced functionalities for text generation, web scraping, web search, and AI response evaluation. It includes features like an Autonomous Agent for answering questions, web crawling and scraping capabilities, enhanced web search functionality, and flexible integration with Ollama server. Users can customize the agent's behavior, evaluate responses using AI, and utilize various methods for text generation, conversation management, and Chain of Thought reasoning. The tool offers comprehensive methods for different tasks, such as initializing RAG, error handling, and tool management. PocketGroq is designed to enhance development processes and enable the creation of AI-powered applications with ease.

This solution accelerator is built on Azure Cognitive Search Service and Azure OpenAI Service to synthesize post-contact center transcripts for intelligent contact center scenarios. It converts raw transcripts into customer call summaries to extract insights around product and service performance. Key features include conversation summarization, key phrase extraction, speech-to-text transcription, sensitive information extraction, sentiment analysis, and opinion mining. The tool enables data professionals to quickly analyze call logs for improvement in contact center operations.

model.nvim is a tool designed for Neovim users who want to utilize AI models for completions or chat within their text editor. It allows users to build prompts programmatically with Lua, customize prompts, experiment with multiple providers, and use both hosted and local models. The tool supports features like provider agnosticism, programmatic prompts in Lua, async and multistep prompts, streaming completions, and chat functionality in 'mchat' filetype buffer. Users can customize prompts, manage responses, and context, and utilize various providers like OpenAI ChatGPT, Google PaLM, llama.cpp, ollama, and more. The tool also supports treesitter highlights and folds for chat buffers.

Multi-Agent Orchestrator is a flexible and powerful framework for managing multiple AI agents and handling complex conversations. It intelligently routes queries to the most suitable agent based on context and content, supports dual language implementation in Python and TypeScript, offers flexible agent responses, context management across agents, extensible architecture for customization, universal deployment options, and pre-built agents and classifiers. It is suitable for various applications, from simple chatbots to sophisticated AI systems, accommodating diverse requirements and scaling efficiently.

Monacopilot is a powerful and customizable AI auto-completion plugin for the Monaco Editor. It supports multiple AI providers such as Anthropic, OpenAI, Groq, and Google, providing real-time code completions with an efficient caching system. The plugin offers context-aware suggestions, customizable completion behavior, and framework agnostic features. Users can also customize the model support and trigger completions manually. Monacopilot is designed to enhance coding productivity by providing accurate and contextually appropriate completions in daily spoken language.

Resume Job Matcher is a Python script that automates the process of matching resumes to a job description using AI. It leverages the Anthropic Claude API or OpenAI's GPT API to analyze resumes and provide a match score along with personalized email responses for candidates. The tool offers comprehensive resume processing, advanced AI-powered analysis, in-depth evaluation & scoring, comprehensive analytics & reporting, enhanced candidate profiling, and robust system management. Users can customize font presets, generate PDF versions of unified resumes, adjust logging level, change scoring model, modify AI provider, and adjust AI model. The final score for each resume is calculated based on AI-generated match score and resume quality score, ensuring content relevance and presentation quality are considered. Troubleshooting tips, best practices, contribution guidelines, and required Python packages are provided.

The OpenAI Completion plugin for Sublime Text provides first-class code assistant support within the editor. It utilizes LLM models to manipulate code, engage in chat mode, and perform various tasks. The plugin supports OpenAI, llama.cpp, and ollama models, allowing users to customize their AI assistant experience. It offers separated chat histories and assistant settings for different projects, enabling context-specific interactions. Additionally, the plugin supports Markdown syntax with code language syntax highlighting, server-side streaming for faster response times, and proxy support for secure connections. Users can configure the plugin's settings to set their OpenAI API key, adjust assistant modes, and manage chat history. Overall, the OpenAI Completion plugin enhances the Sublime Text editor with powerful AI capabilities, streamlining coding workflows and fostering collaboration with AI assistants.

Auto_Jobs_Applier_AIHawk is an AI-powered job search assistant that revolutionizes the job search and application process. It automates application submissions, provides personalized recommendations, and enhances the chances of landing a dream job. The tool offers features like intelligent job search automation, rapid application submission, AI-powered personalization, volume management with quality, intelligent filtering, dynamic resume generation, and secure data handling. It aims to address the challenges of modern job hunting by saving time, increasing efficiency, and improving application quality.

The TensorRT-LLM Backend is a Triton backend designed to serve TensorRT-LLM models with Triton Inference Server. It supports features like inflight batching, paged attention, and more. Users can access the backend through pre-built Docker containers or build it using scripts provided in the repository. The backend can be used to create models for tasks like tokenizing, inferencing, de-tokenizing, ensemble modeling, and more. Users can interact with the backend using provided client scripts and query the server for metrics related to request handling, memory usage, KV cache blocks, and more. Testing for the backend can be done following the instructions in the 'ci/README.md' file.

Cortex is a tool that simplifies and accelerates the process of creating applications utilizing modern AI models like chatGPT and GPT-4. It provides a structured interface (GraphQL or REST) to a prompt execution environment, enabling complex augmented prompting and abstracting away model connection complexities like input chunking, rate limiting, output formatting, caching, and error handling. Cortex offers a solution to challenges faced when using AI models, providing a simple package for interacting with NL AI models.

Embodied Agents is a toolkit for integrating large multi-modal models into existing robot stacks with just a few lines of code. It provides consistency, reliability, scalability, and is configurable to any observation and action space. The toolkit is designed to reduce complexities involved in setting up inference endpoints, converting between different model formats, and collecting/storing datasets. It aims to facilitate data collection and sharing among roboticists by providing Python-first abstractions that are modular, extensible, and applicable to a wide range of tasks. The toolkit supports asynchronous and remote thread-safe agent execution for maximal responsiveness and scalability, and is compatible with various APIs like HuggingFace Spaces, Datasets, Gymnasium Spaces, Ollama, and OpenAI. It also offers automatic dataset recording and optional uploads to the HuggingFace hub.

LinkedIn_AIHawk is an automated tool designed to revolutionize the job search and application process on LinkedIn. It leverages automation and artificial intelligence to efficiently apply to relevant positions, personalize responses, manage application volume, filter listings, generate dynamic resumes, and handle sensitive information securely. The tool aims to save time, increase application relevance, and enhance job search effectiveness in today's competitive landscape.

Instructor for PHP is a library designed for structured data extraction in PHP, powered by Large Language Models (LLMs). It simplifies the process of extracting structured, validated data from unstructured text or chat sequences. Instructor enhances workflow by providing a response model, validation capabilities, and max retries for requests. It supports classes as response models and provides features like partial results, string input, extracting scalar and enum values, and specifying data models using PHP type hints or DocBlock comments. The library allows customization of validation and provides detailed event notifications during request processing. Instructor is compatible with PHP 8.2+ and leverages PHP reflection, Symfony components, and SaloonPHP for communication with LLM API providers.

PyLLMCore is a light-weighted interface with Large Language Models with native support for llama.cpp, OpenAI API, and Azure deployments. It offers a Pythonic API that is simple to use, with structures provided by the standard library dataclasses module. The high-level API includes the assistants module for easy swapping between models. PyLLMCore supports various models including those compatible with llama.cpp, OpenAI, and Azure APIs. It covers use cases such as parsing, summarizing, question answering, hallucinations reduction, context size management, and tokenizing. The tool allows users to interact with language models for tasks like parsing text, summarizing content, answering questions, reducing hallucinations, managing context size, and tokenizing text.

RealtimeSTT is an easy-to-use, low-latency speech-to-text library for realtime applications. It listens to the microphone and transcribes voice into text, making it ideal for voice assistants and applications requiring fast and precise speech-to-text conversion. The library utilizes Voice Activity Detection, Realtime Transcription, and Wake Word Activation features. It supports GPU-accelerated transcription using PyTorch with CUDA support. RealtimeSTT offers various customization options for different parameters to enhance user experience and performance. The library is designed to provide a seamless experience for developers integrating speech-to-text functionality into their applications.

AutoDev is an AI-powered coding wizard that supports multiple languages, including Java, Kotlin, JavaScript/TypeScript, Rust, Python, Golang, C/C++/OC, and more. It offers a range of features, including auto development mode, copilot mode, chat with AI, customization options, SDLC support, custom AI agent integration, and language features such as language support, extensions, and a DevIns language for AI agent development. AutoDev is designed to assist developers with tasks such as auto code generation, bug detection, code explanation, exception tracing, commit message generation, code review content generation, smart refactoring, Dockerfile generation, CI/CD config file generation, and custom shell/command generation. It also provides a built-in LLM fine-tune model and supports UnitEval for LLM result evaluation and UnitGen for code-LLM fine-tune data generation.

The worker-vLLM repository provides a serverless endpoint for deploying OpenAI-compatible vLLM models with blazing-fast performance. It supports deploying various model architectures, such as Aquila, Baichuan, BLOOM, ChatGLM, Command-R, DBRX, DeciLM, Falcon, Gemma, GPT-2, GPT BigCode, GPT-J, GPT-NeoX, InternLM, Jais, LLaMA, MiniCPM, Mistral, Mixtral, MPT, OLMo, OPT, Orion, Phi, Phi-3, Qwen, Qwen2, Qwen2MoE, StableLM, Starcoder2, Xverse, and Yi. Users can deploy models using pre-built Docker images or build custom images with specified arguments. The repository also supports OpenAI compatibility for chat completions, completions, and models, with customizable input parameters. Users can modify their OpenAI codebase to use the deployed vLLM worker and access a list of available models for deployment.

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