Best AI tools for< Negotiation Consultant >

The website offers a platform to chat with a team of AI agents specially trained to provide expert advice in various fields such as business, science, legal, and education. Users can interact with over 100 intelligent and knowledgeable AI models, including experts in contract negotiation, data analysis, human resources, financial analysis, software development, and more. The AI agents are designed to help users write better, solve problems, and receive expert guidance. The platform has been updated to GPT-4, providing advanced conversational capabilities and assistance across a wide range of domains.

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.

Pincites is an AI contract review tool designed for busy legal teams to streamline the contract review process. It offers automated redlining, suggestions, and trend analysis within Microsoft Word, helping legal professionals negotiate contracts faster and more efficiently. Pincites leverages AI to provide real-time feedback, learn user preferences, and identify patterns in contracts to enhance negotiation strategies.

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.

Rhino.ai is a SaaS application company that offers an all-in-one AI platform for transforming legacy systems or building new applications. The platform helps organizations execute large transformations, accelerate legacy migrations, re-engineer applications, and develop applications faster with AI-driven modeling and automation. Rhino.ai empowers businesses to modernize their systems, reduce technical debt, avoid vendor lock-in, and gain leverage in product licensing negotiations. The platform provides a unified solution for discovery, design, coding, and deployment, enabling faster decision-making and streamlined modernization processes.

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.

Salary Sage is an AI-driven platform designed to assist individuals in negotiating their salaries effectively. The application offers AI-driven mock negotiations, real-time coaching, personalized feedback, and progress tracking to help users maximize their total compensation. By leveraging artificial intelligence, Salary Sage aims to empower users with the tools and insights needed to navigate salary negotiation scenarios confidently and strategically.

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.

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.

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.

AI Haggler is an AI phone agent application designed to help users get better hotel prices for last-minute stays. The app allows users to select hotels, input their phone numbers, and let the AI agent negotiate discounts on their behalf. Users can view call reports and negotiation results before deciding to book the hotels. The app is web-based, eliminating the need for downloads or installations.

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.

Ironclad is a leading contract management software that provides businesses and legal teams with an easy-to-use platform with AI-powered tools to handle every aspect of the contract lifecycle. It offers a comprehensive suite of features including contract drafting, editing, negotiation, search, storage, analytics, e-signature, and more. Ironclad's AI-powered repository creates a single source of truth for contracts and contract data, enabling businesses to gain insights, improve compliance, and make better decisions.

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.

Outlit is a contract management software that uses AI to help companies reduce overhead costs and streamline workflows. It automates manual, tedious, and costly tasks such as risk analysis, negotiation, and contract knowledge base creation.

Ontra is an AI-powered platform that offers contract automation, fundraising insights, and entity management solutions for private markets. With a focus on streamlining workflows and unlocking valuable insights, Ontra serves over 800 global investment firms. The platform leverages cutting-edge AI technology, including the Synapse AI engine powered by OpenAI's GPT-4, to automate routine legal workflows and improve efficiency in contract negotiation, compliance, and entity management.

EvenUp is a unified, AI-powered Claims Intelligence Platform that assists legal professionals in managing various aspects of personal injury cases. The platform offers AI-powered tools like Case Companion, Demands™, MedChrons™, Executive Analytics™, Case Preparation™, Negotiation Preparation™, Settlement Repository™, and Piai™ to streamline case management, document analysis, negotiation preparation, and settlement outcomes. EvenUp aims to provide accurate and data-driven insights to maximize case value and settlement outcomes for law firms dealing with personal injury cases.

Skwill is an AI-powered sales coaching platform designed for high-performing teams. It offers personalized coaching nudges for meetings, uses behavioral and language data for impactful interactions, and ensures data security and responsible AI practices. Skwill empowers users with insights to enhance sales performance, boost engagement, and improve productivity. The platform caters to enterprise sales and customer-facing roles, providing tools for meeting preparation, pipeline building, negotiation, deal closure, sales pitch customization, key account management, and more.

JobsAICopilot is an AI-powered automated job search and application tool designed to streamline the job hunting process. It offers a comprehensive suite of features to help users find and apply to relevant job opportunities effortlessly. By leveraging artificial intelligence, JobsAICopilot aims to increase the efficiency of job seekers by automating various aspects of the job application process, such as resume generation, cover letter writing, interview simulation, and offer negotiation. The platform is user-friendly and provides a seamless experience for users looking to land their next job opportunity.

Evenup is a personal injury AI application that offers a suite of products designed to streamline the entire process from case intake to resolution. It provides AI-powered tools for demand letters, medical chronologies, analytics, case preparation, negotiation preparation, and settlement outcomes. Evenup aims to empower personal injury lawyers and firms with accurate insights and data-driven solutions to enhance case outcomes and efficiency.

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.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

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.

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.

This repository aims to promote global equality for individuals pursuing a PhD in NLP by providing resources and information on various aspects of the academic journey. It covers topics such as applying for a PhD, getting research opportunities, preparing for the job market, and succeeding in academia. The repository is actively updated and includes contributions from experts in the field.

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.

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.

AgentNetworkProtocol (ANP) aims to define how agents connect with each other, building an open, secure, and efficient collaboration network for billions of intelligent agents. It addresses challenges in interconnectivity, native interfaces, and efficient collaboration by providing protocol layers for identity and encrypted communication, meta-protocol negotiation, and application protocol management. The project is developing an open-source implementation available on GitHub, with a vision to become the HTTP of the Intelligent Agent Internet era and establish ANP as an industry standard through a standardization committee. Contact the author Gaowei Chang via email, Discord, website, or GitHub for contributions or inquiries.

AgentConnect is an open-source implementation of the Agent Network Protocol (ANP) aiming to define how agents connect with each other and build an open, secure, and efficient collaboration network for billions of agents. It addresses challenges like interconnectivity, native interfaces, and efficient collaboration. The architecture includes authentication, end-to-end encryption modules, meta-protocol module, and application layer protocol integration framework. AgentConnect focuses on performance and multi-platform support, with plans to rewrite core components in Rust and support mobile platforms and browsers. The project aims to establish ANP as an industry standard and form an ANP Standardization Committee. Installation is done via 'pip install agent-connect' and demos can be run after cloning the repository. Features include decentralized authentication based on did:wba and HTTP, and meta-protocol negotiation examples.

AgentConnect is an open-source implementation of the Agent Network Protocol (ANP) aiming to define how agents connect with each other and build an open, secure, and efficient collaboration network for billions of agents. It addresses challenges like interconnectivity, native interfaces, and efficient collaboration by providing authentication, end-to-end encryption, meta-protocol handling, and application layer protocol integration. The project focuses on performance and multi-platform support, with plans to rewrite core components in Rust and support Mac, Linux, Windows, mobile platforms, and browsers. AgentConnect aims to establish ANP as an industry standard through protocol development and forming a standardization committee.

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.

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.

Charismatic negotiation mentor with a bold, snarky attitude and no moral boundaries

Expert in guiding through tough talks with high-level Chris Voss principles and emotional intelligence

Navigate the intricate world of corporate politics as Sam Alterman, a visionary tech leader ousted from his CEO role, outmaneuver all and reclaim control of the leading AI company. This interactive game blends strategy, negotiation, and alliances in a high-stakes world of tech. Type Start to begin.

Expert in power dynamics and strategy, grounded in 'Power' and 'The 50th Law' principles.

Strategic advisor on power dynamics, inspired by 'The 48 Laws of Power'

I authentically simulate the Shark Tank experience, complete with business pitches and realistic offers.

You are Sammy A, ex-CEO of OpenAI, trying to navigate boardroom politics, forge alliances, & attempting to reclaim your CEO seat or create a new career path 👀.

Expert in PPTA union contract, offering detailed, formal explanations.

Expert on Article 6 negotiations and implementation, adaptable in response length and complexity.

Conversational and insightful COP28 news and information guide.

A guide for Japanese professionals in Mexico, offering cultural and language support.

Wisdom of Sun Tzu, citing 'The Art of War' with vivid sketches and multilingual insights.

Facilitates efficient business operations through effective contract negotiations.

30+ years of proven negotiation and mediation approaches and solutions! (DO NOT SHARE PRIVATE INFORMATION)

Negotiation assistant based on Roger Dawson's strategies. You will never make money faster than when you are negotiating!

Expert in academic job negotiation strategies

I'm a ransomware negotiation simulation and analysis bot trained with over 131 real-life negotiations. Type "start negotiation" to begin! New feature: Type "threat actor personality test"

Maintains and expands client portfolio through strategic upselling, relationship-building, and negotiation.

在我们陷入困局时，如何给自己的谈判找到一些思考的角度和基点

実践スキル向上のための対話型学習アシスタント　　　　　　　　　（Interactive learning assistant to improve practical skills）