Best AI tools for< Call Center Supervisor >

Balto is a real-time guidance platform designed for contact centers, powered by AI technology. It offers features such as real-time coaching, QA copilot, notetaking automation, and integrations with various CCaaS systems. Balto aims to improve agent performance, enhance customer experience, ensure compliance, and drive sales growth through behavior change and perfect conversations on every call.

MaestroQA is a comprehensive Call Center Quality Assurance Software that offers a range of products and features to enhance QA processes. It provides customizable report builders, scorecard builders, calibration workflows, coaching workflows, automated QA workflows, screen capture, accurate transcriptions, root cause analysis, performance dashboards, AI grading assist, analytics, and integrations with various platforms. The platform caters to industries like eCommerce, financial services, gambling, insurance, B2B software, social media, and media, offering solutions for QA managers, team leaders, and executives.

Enthu.AI is a Conversation Intelligence Software designed for Contact Centers to boost agent performance, understand customer sentiment, and improve revenue. The AI-powered tool automates sales monitoring, compliance, and customer experience enhancement by capturing and analyzing customer voice across various communication channels. It provides insights for multiple teams, runs automated Quality Management programs, and coaches sales agents to improve their performance. Enthu.AI helps in driving consistency in revenue and predictability in outcomes for over 100 brands, making call quality monitoring and customer conversation data analysis more efficient and effective.

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.

Loris is a conversational intelligence platform designed for leading brands to unlock the hidden value of every customer conversation. It combines proven machine learning and generative AI to provide industry-leading conversation intelligence. Loris helps customer service teams be more efficient, improve customer experience, and drive revenue growth by transforming customer conversations into actionable insights. The platform offers features such as automated quality assurance, real-time agent co-pilot, and customer insights to enhance agent performance and increase customer satisfaction.

Convin is an omnichannel contact center platform powered by conversation intelligence. It offers a full-stack conversations QA platform for contact centers, AI learning management system for faster agent onboarding, real-time agent assist for improved conversions, automated agent coaching for personalized training, supervisor assist for tracking and assistance, and insights to collect 100% of customer intelligence. The platform also provides automated QA to audit and score customer conversations, analytics for quality management, and a mobile app for on-the-go access. Convin helps businesses in various industries like sales, support, compliance, collection, retention, healthtech, fintech, insurtech, edtech, real estate, hospitality & travel, and BPO to enhance customer interactions and drive revenue.

SQM Group's mySQM™ QA software is a comprehensive solution for call centers to monitor, motivate, and manage agents, ultimately improving customer experience (CX) and reducing QA costs by 50%. It combines three data sources: post-call surveys, call handling data, and call compliance feedback, providing holistic CX insights. The software offers personalized agent self-coaching suggestions, real-time recognition for great CX delivery, and benchmarks, ranks, awards, and certifies Csat, FCR, and QA performance.

Five9 is a leading provider of cloud contact center software. We are driven by a passion to transform call and contact centers into customer engagement centers of excellence. Our AI-powered solutions help businesses deliver exceptional customer experiences, improve operational efficiency, and reduce costs. With Five9, you can: * Empower agents to deliver results anywhere * Improve CX with practical AI * Find efficiency with AI & automation * Scale with AI & digital workforce * Realize results with Five9

Qualint is an AI-driven platform revolutionizing call center quality assurance. It empowers call centers with superior analytics, comprehensive call analysis, and streamlined operations. The platform provides real-time insights, tailored quality standards, and enhances collaboration to ensure every customer interaction is understood. Qualint offers core features such as real-time call uploads & analysis, efficiency improvement, information accessibility, and team communication. With different pricing plans, Qualint caters to call centers of all sizes, from small to large, helping them optimize agent performance, navigate regulatory challenges, and elevate customer service.

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.

Pitch Patterns is an AI-powered Quality Control platform designed for teams analyzing sales and customer service calls to enhance close rates and CSAT scores. The platform offers innovative features such as Social Skill Markers, Conversation Analysis, and AI Tracking to provide valuable insights and improve agent performance. With integration capabilities with popular CRM systems like Salesforce and Pipedrive, Pitch Patterns aims to revolutionize call center excellence through AI analytics.

interface.ai is an AI platform that offers generative AI solutions and intelligent virtual assistant services tailored for banks and credit unions. The platform aims to optimize call center operations, automate processes, enhance customer and employee experience, and increase revenue for financial institutions. With a focus on conversational AI, voice-based biometrics, and caller-id authentication, interface.ai provides advanced solutions to improve operational efficiency and deliver personalized recommendations to prospects and customers. The platform is designed to handle call volumes, reduce wait times, and provide 24/7 member support, ultimately transforming call centers into revenue centers.

Had-a Call is an AI-powered call management platform that revolutionizes customer outreach by breaking down language barriers and building stronger relationships with customers worldwide. It offers multi-language call center software, real-time call performance analytics, and scalable solutions for data-driven customer engagement. With Had-a Call, businesses can effortlessly scale their call center operations and make data-driven decisions to drive customer engagement and improve performance.

NICE CXone is a leading customer experience (CX) AI platform that helps organizations deliver exceptional customer experiences. With its unified interaction-centric platform, rich CX capabilities, and AI purpose-built for CX, NICE CXone empowers businesses to optimize and scale their CX operations, boost efficiency, and strengthen brand value.

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.

VOYP is a voice-powered AI application that serves as a personal call assistant, enabling users to make appointments, reservations, and international calls effortlessly. It offers features like international calls, multiple languages, call recording, and calendar integration. VOYP is beneficial for individuals with speech impairments or social anxiety, providing independence and convenience. The application can be accessed through various platforms like Web, Android, iPhone, and ChatGPT, offering a seamless user experience. Powered by Artificial Intelligence, VOYP leverages cloud-based infrastructure for scalable web applications and machine learning, making it a versatile tool for various communication needs.

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.

Tomato.ai is an AI accent softening and neutralization software designed to improve customer service and sales metrics in call centers. The software uses AI-powered voice filters to clarify offshore agent voices, making them more intelligible and reducing customer frustration. Tomato.ai offers benefits such as improving CSAT, reducing agent churn, boosting savings and sales, and enabling the hiring of more offshore agents. The software works in real-time to soften accents, enhance voice quality, cancel noise, and preserve the natural rhythm of the speaker.

Level AI is a provider of artificial intelligence (AI)-powered solutions for call centers. Its products include GenAI-automated Quality Assurance, Contact Center and Business Analytics, GenAI-powered VoC Insights, AgentGPT Real-Time Agent Assist, Agent Coaching, Agent Screen Recording, and Artificial Intelligence Integrations. Level AI's solutions are designed to help businesses improve customer experience, increase efficiency, and reduce costs. The company's customers include some of the world's leading customer service organizations, such as Brex and ezCater.

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.

The Amazon Transcribe Live Call Analytics (LCA) with Agent Assist Sample Solution is designed to help contact centers assess and optimize caller experiences in real time. It leverages Amazon machine learning services like Amazon Transcribe, Amazon Comprehend, and Amazon SageMaker to transcribe and extract insights from contact center audio. The solution provides real-time supervisor and agent assist features, integrates with existing contact centers, and offers a scalable, cost-effective approach to improve customer interactions. The end-to-end architecture includes features like live call transcription, call summarization, AI-powered agent assistance, and real-time analytics. The solution is event-driven, ensuring low latency and seamless processing flow from ingested speech to live webpage updates.

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.

A lightweight, functional, and composable framework for building AI agents that work together to solve complex tasks. Built with TypeScript and designed to be serverless-ready. Fabrice embraces functional programming principles, remains stateless, and stays focused on composability. It provides core concepts like easy teamwork creation, infrastructure-agnosticism, statelessness, and includes all tools and features needed to build AI teams. Agents are specialized workers with specific roles and capabilities, able to call tools and complete tasks. Workflows define how agents collaborate to achieve a goal, with workflow states representing the current state of the workflow. Providers handle requests to the LLM and responses. Tools extend agent capabilities by providing concrete actions they can perform. Execution involves running the workflow to completion, with options for custom execution and BDD testing.

Mosec is a high-performance and flexible model serving framework for building ML model-enabled backend and microservices. It bridges the gap between any machine learning models you just trained and the efficient online service API. * **Highly performant** : web layer and task coordination built with Rust 🦀, which offers blazing speed in addition to efficient CPU utilization powered by async I/O * **Ease of use** : user interface purely in Python 🐍, by which users can serve their models in an ML framework-agnostic manner using the same code as they do for offline testing * **Dynamic batching** : aggregate requests from different users for batched inference and distribute results back * **Pipelined stages** : spawn multiple processes for pipelined stages to handle CPU/GPU/IO mixed workloads * **Cloud friendly** : designed to run in the cloud, with the model warmup, graceful shutdown, and Prometheus monitoring metrics, easily managed by Kubernetes or any container orchestration systems * **Do one thing well** : focus on the online serving part, users can pay attention to the model optimization and business logic

GenAI Agents is a comprehensive repository for developing and implementing Generative AI (GenAI) agents, ranging from simple conversational bots to complex multi-agent systems. It serves as a valuable resource for learning, building, and sharing GenAI agents, offering tutorials, implementations, and a platform for showcasing innovative agent creations. The repository covers a wide range of agent architectures and applications, providing step-by-step tutorials, ready-to-use implementations, and regular updates on advancements in GenAI technology.

GPT Home is a project that allows users to build their own home assistant using Raspberry Pi and OpenAI API. It serves as a guide for setting up a smart home assistant similar to Google Nest Hub or Amazon Alexa. The project integrates various components like OpenAI, Spotify, Philips Hue, and OpenWeatherMap to provide a personalized home assistant experience. Users can follow the detailed instructions provided to build their own version of the home assistant on Raspberry Pi, with optional components for customization. The project also includes system configurations, dependencies installation, and setup scripts for easy deployment. Overall, GPT Home offers a DIY solution for creating a smart home assistant using Raspberry Pi and OpenAI technology.

Dataformer is a robust framework for creating high-quality synthetic datasets for AI, offering speed, reliability, and scalability. It empowers engineers to rapidly generate diverse datasets grounded in proven research methodologies, enabling them to prioritize data excellence and achieve superior standards for AI models. Dataformer integrates with multiple LLM providers using one unified API, allowing parallel async API calls and caching responses to minimize redundant calls and reduce operational expenses. Leveraging state-of-the-art research papers, Dataformer enables users to generate synthetic data with adaptability, scalability, and resilience, shifting their focus from infrastructure concerns to refining data and enhancing models.

SalesGPT is an open-source AI agent designed for sales, utilizing context-awareness and LLMs to work across various communication channels like voice, email, and texting. It aims to enhance sales conversations by understanding the stage of the conversation and providing tools like product knowledge base to reduce errors. The agent can autonomously generate payment links, handle objections, and close sales. It also offers features like automated email communication, meeting scheduling, and integration with various LLMs for customization. SalesGPT is optimized for low latency in voice channels and ensures human supervision where necessary. The tool provides enterprise-grade security and supports LangSmith tracing for monitoring and evaluation of intelligent agents built on LLM frameworks.

RAG-Retrieval provides full-chain RAG retrieval fine-tuning and inference code. It supports fine-tuning any open-source RAG retrieval models, including vector (embedding, graph a), delayed interactive models (ColBERT, graph d), interactive models (cross encoder, graph c). For inference, RAG-Retrieval focuses on ranking (reranker) and has developed a lightweight Python library rag-retrieval, providing a unified way to call any different RAG ranking models.

SeaLLMs are a family of language models optimized for Southeast Asian (SEA) languages. They were pre-trained from Llama-2, on a tailored publicly-available dataset, which comprises texts in Vietnamese 🇻🇳, Indonesian 🇮🇩, Thai 🇹🇭, Malay 🇲🇾, Khmer🇰🇭, Lao🇱🇦, Tagalog🇵🇭 and Burmese🇲🇲. The SeaLLM-chat underwent supervised finetuning (SFT) and specialized self-preferencing DPO using a mix of public instruction data and a small number of queries used by SEA language native speakers in natural settings, which **adapt to the local cultural norms, customs, styles and laws in these areas**. SeaLLM-13b models exhibit superior performance across a wide spectrum of linguistic tasks and assistant-style instruction-following capabilities relative to comparable open-source models. Moreover, they outperform **ChatGPT-3.5** in non-Latin languages, such as Thai, Khmer, Lao, and Burmese.

InternLM is a powerful language model series with features such as 200K context window for long-context tasks, outstanding comprehensive performance in reasoning, math, code, chat experience, instruction following, and creative writing, code interpreter & data analysis capabilities, and stronger tool utilization capabilities. It offers models in sizes of 7B and 20B, suitable for research and complex scenarios. The models are recommended for various applications and exhibit better performance than previous generations. InternLM models may match or surpass other open-source models like ChatGPT. The tool has been evaluated on various datasets and has shown superior performance in multiple tasks. It requires Python >= 3.8, PyTorch >= 1.12.0, and Transformers >= 4.34 for usage. InternLM can be used for tasks like chat, agent applications, fine-tuning, deployment, and long-context inference.

A collection of papers and resources about Large Language Models (LLM) for Graph Learning (Graph). Integrating LLMs with graph learning techniques to enhance performance in graph learning tasks. Categorizes approaches based on four primary paradigms and nine secondary-level categories. Valuable for research or practice in self-supervised learning for recommendation systems.

ControlLLM is a framework that empowers large language models to leverage multi-modal tools for solving complex real-world tasks. It addresses challenges like ambiguous user prompts, inaccurate tool selection, and inefficient tool scheduling by utilizing a task decomposer, a Thoughts-on-Graph paradigm, and an execution engine with a rich toolbox. The framework excels in tasks involving image, audio, and video processing, showcasing superior accuracy, efficiency, and versatility compared to existing methods.

RAG Foundry is a library designed to enhance Large Language Models (LLMs) by fine-tuning models on RAG-augmented datasets. It helps create training data, train models using parameter-efficient finetuning (PEFT), and measure performance using RAG-specific metrics. The library is modular, customizable using configuration files, and facilitates prototyping with various RAG settings and configurations for tasks like data processing, retrieval, training, inference, and evaluation.

The AI Scientist is a comprehensive system for fully automatic scientific discovery, enabling Foundation Models to perform research independently. It aims to tackle the grand challenge of developing agents capable of conducting scientific research and discovering new knowledge. The tool generates papers on various topics using Large Language Models (LLMs) and provides a platform for exploring new research ideas. Users can create their own templates for specific areas of study and run experiments to generate papers. However, caution is advised as the codebase executes LLM-written code, which may pose risks such as the use of potentially dangerous packages and web access.

RAG-FiT is a library designed to improve Language Models' ability to use external information by fine-tuning models on specially created RAG-augmented datasets. The library assists in creating training data, training models using parameter-efficient finetuning (PEFT), and evaluating performance using RAG-specific metrics. It is modular, customizable via configuration files, and facilitates fast prototyping and experimentation with various RAG settings and configurations.

Mahilo is a flexible framework for creating multi-agent systems that can interact with humans while sharing context internally. It allows developers to set up complex agent networks for various applications, from customer service to emergency response simulations. Agents can communicate with each other and with humans, making the system efficient by handling context from multiple agents and helping humans stay focused on specific problems. The system supports Realtime API for voice interactions, WebSocket-based communication, flexible communication patterns, session management, and easy agent definition.

A knowledgeable guide on customer service best practices and terminology.

Cantonese TTS assistant for seniors.

I simulate tough Customer Support scenarios for Agent Training.

Ignora linguagem ofensiva, focando em atendimento qualitativo.

A conversational coach for non-native English speakers.

I'm your English speaking practice buddy!

Voice-centric English role-play tool for speaking practice and offering personalized feedback!

A British English tutor enhancing spoken skills.

Friendly bot for efficient TOEFL speaking practice, offering direct questions and detailed feedback.

Helps with English speaking practice through scenarios.

Elaya 2 - cold-calling

Actor of 'Blackadder' characters with script knowledge.

Assist the use of function calls

Asistente experto en derecho laboral mexicano, ofrece asesoría legal en español.

Expert on Better Call Saul, discusses episodes, characters, and trivia.

Tell me your company and customer and I'll prepare your first call with them!

Analyzes participants from page 1 of Zoom .pdfs

CoD gaming scene specialist for Call of Duty

Je réponds à toutes vos questions sur le jeu Call of Dungeons.

Call me Data- I draw historical parallels to your queries // An education tool // "Nothing new under the sun"