Best AI tools for< Negotiator >

SpeedLegal is a technological startup that uses Machine Learning technology (specifically Deep Learning, LLMs and genAI) to highlight the terms and the key risks of any contract. We analyze your documents and send you a simplified report so you can make a more informed decision before signing your name on the dotted line.

Pine is an AI-powered personal assistant application that specializes in making outbound calls to handle various tasks such as resolving fee disputes, arranging travel, booking reservations, and more. It saves users time by eliminating the need to wait on hold during phone calls. Pine's AI technology initiates and navigates conversations on behalf of the user, ensuring efficient and effective communication with service providers. The application aims to streamline everyday tasks and help users achieve their desired outcomes without lifting a finger.

Yesr is an expert AI negotiator tool designed to assist users in negotiating various deals and agreements. The tool utilizes advanced artificial intelligence algorithms to analyze negotiation scenarios, provide strategic recommendations, and optimize outcomes. With Yesr, users can improve their negotiation skills, enhance deal-making capabilities, and achieve more favorable results in business and personal negotiations.

AI VC was an AI tool designed to provide virtual consultations to users. It allowed users to seek advice and guidance on various topics through an AI-powered virtual assistant. The tool aimed to enhance accessibility to professional advice and support, offering a convenient and efficient way for users to receive assistance remotely.

LegalOn Technologies is a global leader in AI contract review software, providing a platform that enables users to negotiate stronger contracts up to 85% faster. The application offers pre-built and custom AI playbooks, built by experienced attorneys, to ensure high-quality contract reviews. LegalOn's AI is anchored in attorney-written content and rigorously tested, providing accurate and up-to-date legal knowledge for reliable results. The platform is SOC 2 Type II certified, GDPR, and CCPA compliant, prioritizing security and privacy for user data.

EasySell AI is an AI-powered tool that helps users sell more and stress less by automating the negotiation process on marketplace apps. It filters out lowball offers and only notifies users when they receive an offer that meets their desired price. The tool is designed to save users time and maximize their profits.

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

Lawgeex is a contract review automation platform that uses artificial intelligence (AI) to review and redline legal documents based on your predefined policies. Unlike other solutions that only flag unacceptable or missing clauses, Lawgeex understands the contractual context as well as your position. Our technology makes redlines to the contract and negotiates with the counterparty – just like an experienced attorney, but with enhanced speed and accuracy.

Legaliser is an AI legal assistant that revolutionizes contract management by providing comprehensive AI analysis, intuitive drafting tools, and a diverse range of customizable templates. It quickly summarizes contracts, evaluates clauses for compliance, and offers targeted suggestions to enhance contract clarity and compliance. Legaliser streamlines document management with AI-driven summaries, clause ratings, and smart organization, making it an indispensable tool for legal professionals across diverse industries.

Legaliser is an AI-powered contract management tool that offers comprehensive contract analysis, intuitive drafting tools, and customizable legal templates. It leverages advanced AI technology and legal expertise to streamline legal workflows, enhance compliance, and revolutionize how businesses handle legal documents.

Globality is an AI-enabled platform that offers autonomous sourcing solutions for modern, global enterprises. The platform leverages AI to provide guidance and insight throughout the sourcing process, enabling businesses to save money, accelerate decision-making, and create new investment opportunities. Globality guarantees significant ROI in the first year and empowers organizations to spend smarter by cutting costs and driving growth. The platform automates sourcing, enhances visibility and analytics, and enables more strategic decision-making for procurement teams.

Clerkie is a powerful debt repayment and optimization platform that offers a full-service automation solution powered by machine learning and human expertise. It helps lenders, both big and small, to manage and optimize their loan portfolios efficiently. With features like smart payment experience, AI-driven repayment strategies, real-time reporting, and easy integration, Clerkie ensures a seamless and secure experience for lenders and borrowers alike.

Custobots is an AI-powered application that revolutionizes digital commerce by acting as autonomous agents for human consumers or businesses in online marketplaces. These intelligent software entities make purchasing decisions, negotiate prices, and complete transactions on behalf of users. Custobots possess advanced decision-making capabilities, analyze market conditions, compare prices, negotiate with sellers, and adapt from past experiences to improve future performance. They offer a cutting-edge approach to e-commerce, leveraging technologies like Natural Language Processing, Machine Learning, Blockchain, and API integrations to navigate online marketplaces autonomously.

Go Eliza is an AI-powered tool that leverages artificial intelligence to negotiate better deals directly with hotels. The platform aims to provide users with cost-effective solutions for their accommodation needs by utilizing advanced algorithms and machine learning capabilities. By automating the negotiation process, Go Eliza streamlines the booking experience and helps users secure competitive rates without the hassle of manual price comparisons. With a user-friendly interface and seamless integration, Go Eliza offers a convenient and efficient way to optimize hotel bookings.

Icertis is a leading provider of contract lifecycle management (CLM) software. Its platform, Icertis Contract Intelligence, helps organizations manage their contracts more effectively, from creation and negotiation to execution and compliance. Icertis Contract Intelligence is powered by AI, which helps organizations automate tasks, gain insights into their contracts, and make better decisions.

ContractWorks is a contract management software that helps businesses organize, track, and manage their contracts. It offers a centralized repository for storing contracts, automated alerts and notifications, custom reporting, and electronic signature capabilities. ContractWorks also uses AI to power its search and review機能, allowing users to quickly find any contract, clause, or key term. With ContractWorks, businesses can improve contract visibility, reduce risk, and save time and money.

Evisort is an AI-powered contract management software that simplifies contract management at every stage. It offers a complete, AI-native platform for end-to-end contract lifecycle management, including the first large language model built specifically for contracts. Evisort's AI capabilities enable users to ask questions about their contracts in simple, natural language and get clear, reasoned answers. It can also track terms of interest across all contracts and related documents, and generate data points that matter for sales, procurement, risk, and finance teams. Additionally, Evisort's AI-powered workflows automate tasks such as redlining, clause generation, and contract approvals, saving time and reducing risk.

Luminance is a legal AI co-pilot that automates the generation, negotiation, and analysis of contracts. It is built on a proprietary legal Large Language Model (LLM) and uses next-generation AI to provide legal teams with a trusted assistant. Luminance's AI-driven features include AI-Driven Negotiation, 'Legal-Grade' Chatbot, and Business-Wide Automation.

Job Hunt Mode is an AI-powered career tool that offers personalized services to enhance job hunting experiences. From resume crafting to career coaching, the platform provides a range of tools and features to assist users in navigating the job market efficiently. With a focus on privacy and user consent, Job Hunt Mode aims to streamline the job search process and empower individuals to make informed career decisions.

Nowadays is an AI-powered corporate event planner that simplifies event planning by negotiating with the best venues globally via email and phone. It acts as an in-house event planner, considering unique company tastes and needs to secure bids from hotel venues at competitive prices. The platform provides quick response times, operates as an IATA certified AI travel agency, offers unlimited reach for venue search, and saves money through AI negotiations.

NPi is an open-source platform providing Tool-use APIs to empower AI agents with the ability to take action in the virtual world. It is currently under active development, and the APIs are subject to change in future releases. NPi offers a command line tool for installation and setup, along with a GitHub app for easy access to repositories. The platform also includes a Python SDK and examples like Calendar Negotiator and Twitter Crawler. Join the NPi community on Discord to contribute to the development and explore the roadmap for future enhancements.

Prompt4ReasoningPapers is a repository dedicated to reasoning with language model prompting. It provides a comprehensive survey of cutting-edge research on reasoning abilities with language models. The repository includes papers, methods, analysis, resources, and tools related to reasoning tasks. It aims to support various real-world applications such as medical diagnosis, negotiation, etc.

Paper-Reading-ConvAI is a repository that contains a list of papers, datasets, and resources related to Conversational AI, mainly encompassing dialogue systems and natural language generation. This repository is constantly updating.

aioquic is a Python library for the QUIC network protocol, featuring a minimal TLS 1.3 implementation, a QUIC stack, and an HTTP/3 stack. It is designed to be embedded into Python client and server libraries supporting QUIC and HTTP/3, with IPv4 and IPv6 support, connection migration, NAT rebinding, logging TLS traffic secrets and QUIC events, server push, WebSocket bootstrapping, and datagram support. The library follows the 'bring your own I/O' pattern for QUIC and HTTP/3 APIs, making it testable and integrable with different concurrency models.

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 maintains a list of research papers on LLM-based Multi-Agents, categorized into five main streams: Multi-Agents Framework, Multi-Agents Orchestration and Efficiency, Multi-Agents for Problem Solving, Multi-Agents for World Simulation, and Multi-Agents Datasets and Benchmarks. The repository also includes a survey paper on LLM-based Multi-Agents and a table summarizing the key findings of the survey.

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.

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.

LLM Agents Papers is a repository containing must-read papers on Large Language Model Agents. It covers a wide range of topics related to language model agents, including interactive natural language processing, large language model-based autonomous agents, personality traits in large language models, memory enhancements, planning capabilities, tool use, multi-agent communication, and more. The repository also provides resources such as benchmarks, types of tools, and a tool list for building and evaluating language model agents. Contributors are encouraged to add important works to the repository.

The Apache Airflow Python Client provides a range of REST API endpoints for managing Airflow metadata objects. It supports CRUD operations for resources, with endpoints accepting and returning JSON. Users can create, read, update, and delete resources. The API design follows conventions with consistent naming and field formats. Update mask is available for patch endpoints to specify fields for update. API versioning is not synchronized with Airflow releases, and changes go through a deprecation phase. The tool supports various authentication methods and error responses follow RFC 7807 format.

SenseVoice is a speech foundation model focusing on high-accuracy multilingual speech recognition, speech emotion recognition, and audio event detection. Trained with over 400,000 hours of data, it supports more than 50 languages and excels in emotion recognition and sound event detection. The model offers efficient inference with low latency and convenient finetuning scripts. It can be deployed for service with support for multiple client-side languages. SenseVoice-Small model is open-sourced and provides capabilities for Mandarin, Cantonese, English, Japanese, and Korean. The tool also includes features for natural speech generation and fundamental speech recognition tasks.

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