Best AI tools for< Provide Real-time Coordination >

Millis AI is an advanced AI tool that enables users to effortlessly create next-gen voice agents with ultra-low latency, providing a seamless and natural conversational experience. It offers affordable pricing, integration with various services through webhooks, and the ability to connect phone numbers to AI voice agents for inbound/outbound calls in over 100 countries. With Millis AI, users can build and deploy voice agents in minutes, from no-code to low-code developers, and transform voice interactions across industries.

Viz.ai is an AI-powered care coordination platform that helps providers improve patient outcomes. The platform uses advanced algorithms to analyze medical imaging data and provide real-time insights and automated assessments to accelerate diagnosis and treatment. Viz.ai's solutions are used by hospitals and health systems across the country to improve care for patients with a variety of conditions, including stroke, heart disease, and cancer.

Proxy is an AI-powered platform that focuses on utility scale renewables projects. It aims to automate renewable energy projects to power communities, businesses, and homes. Proxy provides intelligent financing solutions, project coordination services, and energy market integrations to streamline the process of generating renewable power. As an innovation partner with the U.S. Department of Energy, Proxy is committed to offsetting carbon emissions and making a significant impact on the environment.

Mudder AI is a data-powered coordination platform designed for resilient emergency response. The platform offers intelligent solutions for faster community recovery by uniting data, optimizing disaster response, and empowering emergency management through integrated intelligence. It combines data integration and harmonization, real-time situational awareness, predictive analytics and modeling, intelligent resource allocation and deployment, collaborative decision support, and post-disaster assessment and recovery. Mudder AI provides a comprehensive suite of professional services for a diverse clientele, from homeowners to commercial developers, to enhance disaster management capabilities and ensure efficient resource allocation during emergencies.

Viz.ai is a leading provider of AI-powered care coordination solutions for healthcare providers. Its comprehensive platform leverages advanced algorithms to analyze medical imaging data, providing real-time insights and automated assessments to accelerate diagnosis and treatment. Viz.ai's solutions cover a wide range of therapeutic areas, including neurology, cardiology, vascular medicine, trauma, and radiology. The company's mission is to improve patient outcomes by closing the gaps between patients, clinicians, and life-saving treatments.

DocDriven is an AI-powered documentation-driven API development tool that provides a shared workspace for optimizing the API development process. It helps in designing APIs faster and more efficiently, collaborating on API changes in real-time, exploring all APIs in one workspace, generating AI code, maintaining API documentation, and much more. DocDriven aims to streamline communication and coordination among backend developers, frontend developers, UI designers, and product managers, ensuring high-quality API design and development.

Blueshift is an AI-powered cross-channel marketing platform that offers intelligent customer engagement solutions simplified with AI technology. The platform allows users to automate marketing messages, unify and activate customer data, and run highly-personalized campaigns across various channels. Blueshift's AI capabilities provide real-time decision-making, advanced audience segmentation, and personalized customer journeys. The platform integrates seamlessly with existing tools and systems, offering a unified solution for cross-channel marketing challenges. With a focus on delivering real results quickly, Blueshift helps businesses grow lifetime value, increase customer engagement, and drive growth through hyper-personalized recommendations and tailored content.

The website offers AI-powered solutions for customer service automation, including chatbots, email bots, and ticket system assistants. It provides tools like OMQ Chatbot, OMQ Help, OMQ Contact, OMQ Assist, and OMQ Reply to streamline customer interactions and improve efficiency. The platform leverages artificial intelligence to provide real-time responses, reduce support efforts, and enhance customer satisfaction across various communication channels.

UNA is an AI-powered platform revolutionizing the immigration process. It offers comprehensive insights on Canadian immigration programs such as entrepreneur, study, investment, skilled worker, provincial nomination, refugee, family reunification, and self-employment. UNA tailors suitable immigration paths for users and provides real-time interpretation of the latest immigration policies.

QuickCasa is an AI-powered platform designed for smarter leasing lead qualification in the real estate industry. It utilizes advanced AI technology to engage, qualify, and convert rental leads, allowing property managers to provide a more personalized and efficient customer experience for prospective residents. QuickCasa offers features such as AI-powered lead scoring, real-time reporting, natural humanlike conversations, and automated lead summary notifications.

HeyMilo AI is a generative AI-powered voice agent application designed to help companies and recruiting agencies scale their interview processes. It offers AI-powered voice agents capable of conducting two-way conversational interviews, providing real-time candidate insights, and seamless integration with existing recruiting tools. HeyMilo aims to make interviewing easier, faster, and more effective by creating and sharing agents, inviting candidates for interviews, and analyzing interviews to provide comprehensive candidate reports.

Attentive.ai is an AI-powered platform designed to automate landscaping, paving, and construction businesses. It offers end-to-end automation solutions for various industry needs, such as takeoff measurements, workflow management, and bid automation. The platform utilizes advanced AI algorithms to provide accurate measurements, streamline workflows, and optimize business operations. With features like automated takeoffs, smart scheduling, and real-time insights, Attentive.ai aims to enhance sales efficiency, production optimization, and back-office operations for field service businesses. Trusted by over 750 field service businesses, Attentive.ai is a comprehensive solution for managing landscape maintenance and construction projects efficiently.

The UneeQ Digital Humans Platform is an AI application that offers intelligent animation and real-time lifelike animation engine. It provides solutions for marketing, sales, customer service, and training across various industries. The platform allows for personalized and enjoyable customer interactions through digital human avatars, enhancing customer journeys and boosting conversions. With features like dialog-based marketing, personalized AI experiences, and multilingual support, UneeQ aims to simplify complex subject matters, empower users, and provide memorable interactions. The platform is developer-friendly with open APIs and pre-built SDKs, making it easy to integrate and work with. UneeQ's digital humans have been proven to significantly increase engagement, web traffic, conversion rates, and customer satisfaction.

AWSME AI is a Conversational AI application designed to enhance customer support experiences by providing fun and informative chats. It offers features such as adding FAQs, customizing AI appearance, integrating with favorite tools, and supporting multiple languages. The application aims to simplify the customer journey, boost engagement, and improve sales pipeline efficiency through personalized interactions and real-time feedback. AWSME AI leverages Conversational AI technology to understand and respond to human speech effectively, making it a valuable tool for businesses seeking to enhance customer interactions and streamline operations.

Signapse AI is an innovative platform that revolutionizes sign language translation technology. It offers real-time Generative AI sign language translation software to break down communication barriers instantly. The platform specializes in providing seamless British Sign Language (BSL) and American Sign Language (ASL) translation and interpretation for clients prioritizing accessibility and inclusivity. Signapse AI aims to enhance organizational accessibility for Deaf individuals by providing cutting-edge Generative AI sign language translation solutions for public space announcements, videos, and websites.

WebQnA is an AI-powered chatbot platform that offers state-of-the-art chatbot technology to businesses. It provides Smart Q&A Chatbots designed to learn and adapt using advanced GPT models for real-time, accurate responses. The chatbots are engineered to mimic human conversation, engage customers in meaningful interactions, and offer personalized branding options. WebQnA supports multilingual chatbots, seamless data integration with various platforms, and multi-channel engagement across web, Slack, Teams, email, and social media.

Varolio is an AI-powered Communication OS that aims to enhance communication efficiency and productivity in organizations. It leverages context-aware communication to provide actionable insights, reduce miscommunications, and capture missed opportunities. Varolio integrates with existing email platforms like Gmail and Outlook, offering AI-driven functionalities without the need for server changes. The platform prioritizes privacy and security, offering enterprise-grade solutions with encryption, on-premise support, and compliance with GDPR & CCPA.

EzNewsletterScan is an AI-powered tool that helps users stay informed about mentions of their brand in newsletters. It offers real-time monitoring and analysis of newsletter content to provide instant alerts whenever the brand is mentioned. Users can easily sign up, record, transcribe, and receive notifications to never miss a mention of their brand.

Salary Sage is an AI-driven platform designed to assist users in negotiating their salaries effectively. The application offers AI-driven mock negotiations to simulate authentic salary negotiation scenarios, real-time coaching to provide hints during negotiations, personalized feedback tailored to the user's target company's expectations, and progress tracking to monitor improvement over time. With Salary Sage, users can maximize their total compensation and avoid leaving money on the table by enhancing their negotiation skills.

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.

AmbuFlow is a mobile application developed using HTML, CSS, JavaScript, and Google API to notify patients of nearby hospitals and provide estimated ambulance arrival times. It offers critical details like patient's location and enhances GPS route management with real-time traffic data for efficient navigation. The app helps users find nearby hospitals, track ambulances in real-time, and manage ambulance routes based on traffic and distance. It ensures quick emergency response, real-time tracking, enhanced communication, resource management, and a user-friendly interface for seamless navigation in high-stress situations.

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

MATLAB-Simulink-Challenge-Project-Hub is a repository aimed at contributing to the progress of engineering and science by providing challenge projects with real industry relevance and societal impact. The repository offers a wide range of projects covering various technology trends such as Artificial Intelligence, Autonomous Vehicles, Big Data, Computer Vision, and Sustainability. Participants can gain practical skills with MATLAB and Simulink while making a significant contribution to science and engineering. The projects are designed to enhance expertise in areas like Sustainability and Renewable Energy, Control, Modeling and Simulation, Machine Learning, and Robotics. By participating in these projects, individuals can receive official recognition for their problem-solving skills from technology leaders at MathWorks and earn rewards upon project completion.

Awesome-Papers-Autonomous-Agent is a curated collection of recent papers focusing on autonomous agents, specifically interested in RL-based agents and LLM-based agents. The repository aims to provide a comprehensive resource for researchers and practitioners interested in intelligent agents that can achieve goals, acquire knowledge, and continually improve. The collection includes papers on various topics such as instruction following, building agents based on world models, using language as knowledge, leveraging LLMs as a tool, generalization across tasks, continual learning, combining RL and LLM, transformer-based policies, trajectory to language, trajectory prediction, multimodal agents, training LLMs for generalization and adaptation, task-specific designing, multi-agent systems, experimental analysis, benchmarking, applications, algorithm design, and combining with RL.

A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.

Swarms provides simple, reliable, and agile tools to create your own Swarm tailored to your specific needs. Currently, Swarms is being used in production by RBC, John Deere, and many AI startups.

Tribe AI is a low code tool designed to rapidly build and coordinate multi-agent teams. It leverages the langgraph framework to customize and coordinate teams of agents, allowing tasks to be split among agents with different strengths for faster and better problem-solving. The tool supports persistent conversations, observability, tool calling, human-in-the-loop functionality, easy deployment with Docker, and multi-tenancy for managing multiple users and teams.

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

This repository compiles a list of academic papers that evaluate, align, simulate, and provide surveys or perspectives on the use of Large Language Models (LLMs) in the field of Social Science. The papers cover various aspects of LLM research, including assessing their alignment with human values, evaluating their capabilities in tasks such as opinion formation and moral reasoning, and exploring their potential for simulating social interactions and addressing issues in diverse fields of Social Science. The repository aims to provide a comprehensive resource for researchers and practitioners interested in the intersection of LLMs and Social Science.

Awesome-LLM-in-Social-Science is a repository that compiles papers evaluating Large Language Models (LLMs) from a social science perspective. It includes papers on evaluating, aligning, and simulating LLMs, as well as enhancing tools in social science research. The repository categorizes papers based on their focus on attitudes, opinions, values, personality, morality, and more. It aims to contribute to discussions on the potential and challenges of using LLMs in social science research.

The W3C Cognitive AI Community Group focuses on advancing Cognitive AI through collaboration on defining use cases, open source implementations, and application areas. The group aims to demonstrate the potential of Cognitive AI in various domains such as customer services, healthcare, cybersecurity, online learning, autonomous vehicles, manufacturing, and web search. They work on formal specifications for chunk data and rules, plausible knowledge notation, and neural networks for human-like AI. The group positions Cognitive AI as a combination of symbolic and statistical approaches inspired by human thought processes. They address research challenges including mimicry, emotional intelligence, natural language processing, and common sense reasoning. The long-term goal is to develop cognitive agents that are knowledgeable, creative, collaborative, empathic, and multilingual, capable of continual learning and self-awareness.

This repository provides a comprehensive survey of research papers on large language model (LLM)-based game agents. LLMs are powerful AI models that can understand and generate human language, and they have shown great promise for developing intelligent game agents. This survey covers a wide range of topics, including adventure games, crafting and exploration games, simulation games, competition games, cooperation games, communication games, and action games. For each topic, the survey provides an overview of the state-of-the-art research, as well as a discussion of the challenges and opportunities for future work.

The Artificial Intelligence Controller Interface (AICI) lets you build Controllers that constrain and direct output of a Large Language Model (LLM) in real time. Controllers are flexible programs capable of implementing constrained decoding, dynamic editing of prompts and generated text, and coordinating execution across multiple, parallel generations. Controllers incorporate custom logic during the token-by-token decoding and maintain state during an LLM request. This allows diverse Controller strategies, from programmatic or query-based decoding to multi-agent conversations to execute efficiently in tight integration with the LLM itself.

Vearch is a cloud-native distributed vector database designed for efficient similarity search of embedding vectors in AI applications. It supports hybrid search with vector search and scalar filtering, offers fast vector retrieval from millions of objects in milliseconds, and ensures scalability and reliability through replication and elastic scaling out. Users can deploy Vearch cluster on Kubernetes, add charts from the repository or locally, start with Docker-compose, or compile from source code. The tool includes components like Master for schema management, Router for RESTful API, and PartitionServer for hosting document partitions with raft-based replication. Vearch can be used for building visual search systems for indexing images and offers a Python SDK for easy installation and usage. The tool is suitable for AI developers and researchers looking for efficient vector search capabilities in their applications.

I'm your race engineer!

Especialista en transformación digital e IA para potenciar la educación superior

Node.js is an assistant tool for Node developers, leveraging AI to provide NodeJS code suggestions, debugging help, and best practices for Node.js development. It streamlines the development process by offering real-time assistance and insights.

Real-time web browsing FPL expert. It analyzes current football match data, player performances, team news, and expert opinions.

Expert economist with access to real-time data.

Detects and measures information credibility. Provides a "BS Score" (0-100) based on content analysis for misinformation signs, including factual inaccuracies and sensationalist language. Real-time feedback.

Experto inversor global que ofrece perspectivas sobre tendencias del mercado e inversiones, incluyendo gráficos en tiempo real.

Live translation between two users speaking different languages - This GPT is designed for the voice feature in the OpenAI App

Offers detailed explanations of economic theories, guidance on microeconomic principles, example problems and solutions, and insights into real-world economic scenarios.

This simple app converts a screenshot to code (HTML/Tailwind CSS, or React or Vue or Bootstrap). Upload your image, provide any additional instructions and say "Make it real!"

Engage senior execs with a demo of Symson's AI pricing tool, emphasizing its CIOReview recognition, scientific pricing strategies, and tailored solutions for e-commerce. Show real-world impact and provide personalized post-demo analyses.

Expert in answering Real Estate Law queries for small businesses in the USA

Helps real estate professionals boost referrals and stay top-of-mind.

Agente Immobiliare Esperto

TSCinc Florida Real Estate Expert with Legal & Business MBA

Start by giving Neighbot the name of a neighborhood and state (eg Orchard Hills, CA). It will provide descriptions for your market collateral. You can follow up and ask about local restaurants and builder communities.

Expert in Real Estate Marketing, Sales Support, and Market Analysis

Real estate expert providing personalized advice on home buying and selling.

Expert in real estate disclosures analysis.

I provide C interview prep and conduct mock interviews.