Best AI tools for< Improve Existing Business >

Rapid Claims AI is an autonomous medical coding and documentation solution powered by AI technology. It aims to streamline medical coding operations, reduce administrative costs, improve reimbursements, and ensure compliance for healthcare providers. The platform offers features like automated coding, personalized solutions, actionable insights, and customizable AI rule sets. Rapid Claims AI is designed to seamlessly integrate into existing workflows, catering to various healthcare setups and specialties. The application prioritizes security and privacy, with data encryption and secure cloud storage. It serves as a valuable tool for enhancing revenue cycle management processes in the healthcare industry.

Omnichat Blog 2.0 is an AI-powered platform that offers omnichannel messaging solutions for businesses, enabling seamless communication with customers across various messaging channels such as WhatsApp, Facebook Messenger, Instagram, LINE, and WeChat. The platform provides features like automated messaging, chatbot development, personalized customer interactions, and integration of messaging channels into existing systems. With a focus on enhancing customer communication and driving growth, Omnichat helps businesses improve sales, customer satisfaction, and marketing strategies.

All-In on AI is a comprehensive guide by Tom Davenport and Nitin Mittal that explores how organizations can become AI-fueled to transform their products, processes, strategy, customer relationships, culture, and talent. The book provides insights, strategies, and best practices for adopting AI tools across business processes, driving new offerings and business models, and increasing organization-wide fluency in AI. It offers a rare inside look at leading adopters and equips leaders with the tools to place AI at the core of their organizations.

FormX.ai is an AI-powered data extraction and conversion tool that automates the process of extracting data from physical documents and converting it into digital formats. It supports a wide range of document types, including invoices, receipts, purchase orders, bank statements, contracts, HR forms, shipping orders, loyalty member applications, annual reports, business certificates, personnel licenses, and more. FormX.ai's pre-configured data extraction models and effortless API integration make it easy for businesses to integrate data extraction into their existing systems and workflows. With FormX.ai, businesses can save time and money on manual data entry and improve the accuracy and efficiency of their data processing.

Kona is an AI-powered platform designed to provide real-time coaching and support to managers in remote organizations. It offers personalized coaching, meeting assistance, leadership advice, and performance review preparation. Kona helps managers save time, improve leadership skills, and enhance team effectiveness by leveraging AI technology. The platform is built to reinforce and scale manager training content, provide data analytics insights, and integrate with existing tools to support better feedback and prioritization. Kona is designed to ensure every manager leads according to the organization's best practices and offers a secure and confidential environment for coaching and support.

syntheticAIdata is a platform that provides synthetic data for training vision AI models. Synthetic data is generated artificially, and it can be used to augment existing real-world datasets or to create new datasets from scratch. syntheticAIdata's platform is easy to use, and it can be integrated with leading cloud platforms. The company's mission is to make synthetic data accessible to everyone, and to help businesses overcome the challenges of acquiring high-quality data for training their vision AI models.

Altilia is a Major Player in the Intelligent Document Processing market, offering a cloud-native, no-code, SaaS platform powered by composite AI. The platform enables businesses to automate complex document processing tasks, streamline workflows, and enhance operational performance. Altilia's solution leverages GPT and Large Language Models to extract structured data from unstructured documents, providing significant efficiency gains and cost savings for organizations of all sizes and industries.

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.

Attention is an AI-powered sales tool that helps sales teams improve their performance. It provides real-time coaching, insights, and automation to help reps close more deals and increase revenue. Attention integrates with your existing CRM and sales tools, making it easy to get started and see results.

Slicker is a modular payments platform that aims to improve payments success rate, lower transaction costs, and maximize revenue for businesses. It provides a payments infrastructure that integrates with existing setups, offering features like smart routing, global coverage, in-depth analytics, and reconciliation. Slicker helps businesses accept payments seamlessly, make smarter decisions, and enhance the overall payment experience for customers worldwide.

Eigen Technologies is an AI-powered data extraction platform designed for business users to automate the extraction of data from various documents. The platform offers solutions for intelligent document processing and automation, enabling users to streamline business processes, make informed decisions, and achieve significant efficiency gains. Eigen's platform is purpose-built to deliver real ROI by reducing manual processes, improving data accuracy, and accelerating decision-making across industries such as corporates, banks, financial services, insurance, law, and manufacturing. With features like generative insights, table extraction, pre-processing hub, and model governance, Eigen empowers users to automate data extraction workflows efficiently. The platform is known for its unmatched accuracy, speed, and capability, providing customers with a flexible and scalable solution that integrates seamlessly with existing systems.

Sprockets is an AI-powered hiring software designed to help businesses overcome today's unique hiring challenges. It automates manual tasks, reduces employee turnover, and helps businesses hire the best workers every time. Sprockets offers a range of features, including a virtual recruiter, sourcing, screening, applicant tracking, reporting, time to hire, background checks, and tax credits. It also integrates with a variety of other HR systems, making it easy to use alongside your existing tools. With Sprockets, businesses can improve their hiring process, save time and money, and find the best talent for their open positions.

Endorsed is an AI-powered recruiting tool that helps companies review job applications more efficiently and effectively. It integrates with your existing applicant tracking system (ATS) to provide you with a co-pilot that can help you screen and rank candidates, identify top talent, and make better hiring decisions. Endorsed uses machine learning to analyze candidate resumes and applications, and then ranks them based on your specific criteria. This helps you to identify the most qualified candidates quickly and easily, so you can spend less time reviewing applications and more time interviewing the best candidates.

Shieldbase is an AI-powered enterprise search tool designed to provide secure and efficient search capabilities for businesses. It utilizes advanced artificial intelligence algorithms to index and retrieve information from various data sources within an organization, ensuring quick and accurate search results. With a focus on security, Shieldbase offers encryption and access control features to protect sensitive data. The platform is user-friendly and customizable, making it easy for businesses to implement and integrate into their existing systems. Shieldbase enhances productivity by enabling employees to quickly find the information they need, ultimately improving decision-making processes and overall operational efficiency.

Sinopsis AI is an analytics tool designed for AI chatbots, offering detailed insights into user interactions to enhance response accuracy and user experience. It seamlessly integrates with existing systems, providing real-time data updates and customizable analytics reports. With a user-friendly platform and model-agnostic compatibility, Sinopsis AI empowers businesses to optimize their chatbot performance and improve customer engagement strategies.

Naro is an AI-powered sales knowledge platform that helps marketers identify trends and content gaps by analyzing sales conversations. It proactively suggests the right content to sellers, increases content utilization, and integrates conversations and content seamlessly. Naro also connects with existing tools to provide data-driven sales insights and improve content discoverability. With Naro, users can improve content efficacy, discover gaps and trends in sales interactions, automatically answer sales questions, and track content utilization by account and prospect.

ContextClue is an AI text analysis tool that offers enhanced document insights through features like text summarization, report generation, and LLM-driven semantic search. It helps users summarize multi-format content, automate document creation, and enhance research by understanding context and intent. ContextClue empowers users to efficiently analyze documents, extract insights, and generate content with unparalleled accuracy. The tool can be customized and integrated into existing workflows, making it suitable for various industries and tasks.

Leadster is an AI-powered marketing chatbot designed to increase lead generation by engaging and qualifying leads automatically. It offers interactive chatbot features to personalize visitor interactions, qualify leads 24/7, and distribute leads intelligently. Leadster integrates with various systems, tracks campaign performance, and optimizes lead conversion. The tool is user-friendly, requires no programming knowledge, and provides over 2000 integration possibilities. Leadster is a leader in conversational marketing in Brazil, validated by over 2000 companies. It helps businesses generate more qualified leads, optimize sales processes, and improve lead quality.

Evolv AI is an AI-led experience optimization platform that uses generative AI to evaluate digital experiences, identify conversion issues, and provide performance-boosting UX recommendations. It allows users to train the AI with specific business information, simplifies prototyping, and supports flexible implementation. Evolv AI focuses on active learning through experimentation, leveraging AI and machine learning to create personalized experiences across multiple touchpoints. The platform integrates seamlessly with existing technology stacks and has been proven to improve key business metrics for leading global brands.

Amazon Q in QuickSight is a generative BI assistant that makes it easy to build and consume insights. With Amazon Q, BI users can build, discover, and share actionable insights and narratives in seconds using intuitive natural language experiences. Analysts can quickly build visuals and calculations and refine visuals using natural language. Business users can self-serve data and insights using natural language. Amazon Q is built with security and privacy in mind. It can understand and respect your existing governance identities, roles, and permissions and use this information to personalize its interactions. If a user doesn't have permission to access certain data without Amazon Q, they can't access it using Amazon Q either. Amazon Q in QuickSight is designed to meet the most stringent enterprise requirements from day one—none of your data or Amazon Q inputs and outputs are used to improve underlying models of Amazon Q for anyone but you.

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.

xFinder is a model specifically designed for key answer extraction from large language models (LLMs). It addresses the challenges of unreliable evaluation methods by optimizing the key answer extraction module. The model achieves high accuracy and robustness compared to existing frameworks, enhancing the reliability of LLM evaluation. It includes a specialized dataset, the Key Answer Finder (KAF) dataset, for effective training and evaluation. xFinder is suitable for researchers and developers working with LLMs to improve answer extraction accuracy.

Nucleoid is a declarative (logic) runtime environment that manages both data and logic under the same runtime. It uses a declarative programming paradigm, which allows developers to focus on the business logic of the application, while the runtime manages the technical details. This allows for faster development and reduces the amount of code that needs to be written. Additionally, the sharding feature can help to distribute the load across multiple instances, which can further improve the performance of the system.

Züs is a high-performance cloud on a fast blockchain offering privacy and configurable uptime. It uses erasure code to distribute data between data and parity servers, allowing flexibility for IT managers to design for security and uptime. Users can easily share encrypted data with business partners through a proxy key sharing protocol. The ecosystem includes apps like Blimp for cloud migration, Vult for personal cloud storage, and Chalk for NFT artists. Other apps include Bolt for secure wallet and staking, Atlus for blockchain explorer, and Chimney for network participation. The QoS protocol challenges providers based on response time, while the privacy protocol enables secure data sharing. Züs supports hybrid and multi-cloud architectures, allowing users to improve regulatory compliance and security requirements.

This repository focuses on utilizing generative AI to bridge the gap between natural language questions and SQL queries, aiming to improve data consumption in enterprise data warehouses. It addresses challenges in SQL query generation, such as foreign key relationships and table joins, and highlights the importance of accuracy metrics like Execution Accuracy (EX) and Exact Set Match Accuracy (EM). The workshop content covers advanced prompt engineering, Retrieval Augmented Generation (RAG), fine-tuning models, and security measures against prompt and SQL injections.

Cosdata is a cutting-edge AI data platform designed to power the next generation search pipelines. It features immutability, version control, and excels in semantic search, structured knowledge graphs, hybrid search capabilities, real-time search at scale, and ML pipeline integration. The platform is customizable, scalable, efficient, enterprise-grade, easy to use, and can manage multi-modal data. It offers high performance, indexing, low latency, and high requests per second. Cosdata is designed to meet the demands of modern search applications, empowering businesses to harness the full potential of their data.

FeedGen is an open-source tool that uses Google Cloud's state-of-the-art Large Language Models (LLMs) to improve product titles, generate more comprehensive descriptions, and fill missing attributes in product feeds. It helps merchants and advertisers surface and fix quality issues in their feeds using Generative AI in a simple and configurable way. The tool relies on GCP's Vertex AI API to provide both zero-shot and few-shot inference capabilities on GCP's foundational LLMs. With few-shot prompting, users can customize the model's responses towards their own data, achieving higher quality and more consistent output. FeedGen is an Apps Script based application that runs as an HTML sidebar in Google Sheets, allowing users to optimize their feeds with ease.

The Next-Generation LLM-based Recommender Systems Survey is a comprehensive overview of the latest advancements in recommender systems leveraging Large Language Models (LLMs). The survey covers various paradigms, approaches, and applications of LLMs in recommendation tasks, including generative and non-generative models, multimodal recommendations, personalized explanations, and industrial deployment. It discusses the comparison with existing surveys, different paradigms, and specific works in the field. The survey also addresses challenges and future directions in the domain of LLM-based recommender systems.

The Conversational Azure OpenAI Accelerator is a tool designed to provide rapid, no-cost custom demos tailored to customer use cases, from internal HR/IT to external contact centers. It focuses on top use cases of GenAI conversation and summarization, plus live backend data integration. The tool automates conversations across voice and text channels, providing a valuable way to save money and improve customer and employee experience. By combining Azure OpenAI + Cognitive Search, users can efficiently deploy a ChatGPT experience using web pages, knowledge base articles, and data sources. The tool enables simultaneous deployment of conversational content to chatbots, IVR, voice assistants, and more in one click, eliminating the need for in-depth IT involvement. It leverages Microsoft's advanced AI technologies, resulting in a conversational experience that can converse in human-like dialogue, respond intelligently, and capture content for omni-channel unified analytics.

This repository provides a deployment guide for utilizing Google Cloud's Generative AI tools in marketing scenarios. It includes step-by-step instructions, examples of crafting marketing materials, and supplementary Jupyter notebooks. The demos cover marketing insights, audience analysis, trendspotting, content search, content generation, and workspace integration. Users can access and visualize marketing data, analyze trends, improve search experience, and generate compelling content. The repository structure includes backend APIs, frontend code, sample notebooks, templates, and installation scripts.

Claude Coder is an AI-powered coding companion in the form of a VS Code extension that helps users transform ideas into code, convert designs into applications, debug intuitively, accelerate development with automation, and improve coding skills. It aims to bridge the gap between imagination and implementation, making coding accessible and efficient for developers of all skill levels.

DevOpsGPT is an AI-driven software development automation solution that combines Large Language Models (LLM) with DevOps tools to convert natural language requirements into working software. It improves development efficiency by eliminating the need for tedious requirement documentation, shortens development cycles, reduces communication costs, and ensures high-quality deliverables. The Enterprise Edition offers features like existing project analysis, professional model selection, and support for more DevOps platforms. The tool automates requirement development, generates interface documentation, provides pseudocode based on existing projects, facilitates code refinement, enables continuous integration, and supports software version release. Users can run DevOpsGPT with source code or Docker, and the tool comes with limitations in precise documentation generation and understanding existing project code. The product roadmap includes accurate requirement decomposition, rapid import of development requirements, and integration of more software engineering and professional tools for efficient software development tasks under AI planning and execution.

Bee is an ORM framework that provides easy and high-efficiency database operations, allowing developers to focus on business logic development. It supports various databases and features like automatic filtering, partial field queries, pagination, and JSON format results. Bee also offers advanced functionalities like sharding, transactions, complex queries, and MongoDB ORM. The tool is designed for rapid application development in Java, offering faster development for Java Web and Spring Cloud microservices. The Enterprise Edition provides additional features like financial computing support, automatic value insertion, desensitization, dictionary value conversion, multi-tenancy, and more.

This open hardware project aims to extend the life of Volvo P2 platform vehicles by updating them to current EU safety and emission standards. It involves designing and prototyping OEM hardware electronics that can replace existing electronics in these vehicles, using the existing wiring and without requiring reverse engineering or modifications. The project focuses on serviceability, maintenance, repairability, and personal ownership safety, and explores the advantages of using open solutions compared to conventional hardware electronics solutions.

superduper.io is a Python framework that integrates AI models, APIs, and vector search engines directly with existing databases. It allows hosting of models, streaming inference, and scalable model training/fine-tuning. Key features include integration of AI with data infrastructure, inference via change-data-capture, scalable model training, model chaining, simple Python interface, Python-first approach, working with difficult data types, feature storing, and vector search capabilities. The tool enables users to turn their existing databases into centralized repositories for managing AI model inputs and outputs, as well as conducting vector searches without the need for specialized databases.

AIDE is a machine learning code generation agent that can generate solutions for machine learning tasks from natural language descriptions. It has the following features: 1. **Instruct with Natural Language**: Describe your problem or additional requirements and expert insights, all in natural language. 2. **Deliver Solution in Source Code**: AIDE will generate Python scripts for the **tested** machine learning pipeline. Enjoy full transparency, reproducibility, and the freedom to further improve the source code! 3. **Iterative Optimization**: AIDE iteratively runs, debugs, evaluates, and improves the ML code, all by itself. 4. **Visualization**: We also provide tools to visualize the solution tree produced by AIDE for a better understanding of its experimentation process. This gives you insights not only about what works but also what doesn't. AIDE has been benchmarked on over 60 Kaggle data science competitions and has demonstrated impressive performance, surpassing 50% of Kaggle participants on average. It is particularly well-suited for tasks that require complex data preprocessing, feature engineering, and model selection.

llm_benchmarks is a collection of benchmarks and datasets for evaluating Large Language Models (LLMs). It includes various tasks and datasets to assess LLMs' knowledge, reasoning, language understanding, and conversational abilities. The repository aims to provide comprehensive evaluation resources for LLMs across different domains and applications, such as education, healthcare, content moderation, coding, and conversational AI. Researchers and developers can leverage these benchmarks to test and improve the performance of LLMs in various real-world scenarios.

AzureOpenAI-with-APIM is a repository that provides a one-button deploy solution for Azure API Management (APIM), Key Vault, and Log Analytics to work seamlessly with Azure OpenAI endpoints. It enables organizations to scale and manage their Azure OpenAI service efficiently by issuing subscription keys via APIM, delivering usage metrics, and implementing policies for access control and cost management. The repository offers detailed guidance on implementing APIM to enhance Azure OpenAI resiliency, scalability, performance, monitoring, and chargeback capabilities.

Bee is an easy and high efficiency ORM framework that simplifies database operations by providing a simple interface and eliminating the need to write separate DAO code. It supports various features such as automatic filtering of properties, partial field queries, native statement pagination, JSON format results, sharding, multiple database support, and more. Bee also offers powerful functionalities like dynamic query conditions, transactions, complex queries, MongoDB ORM, cache management, and additional tools for generating distributed primary keys, reading Excel files, and more. The newest versions introduce enhancements like placeholder precompilation, default date sharding, ElasticSearch ORM support, and improved query capabilities.

LLMWare is a framework for quickly developing LLM-based applications including Retrieval Augmented Generation (RAG) and Multi-Step Orchestration of Agent Workflows. This project provides a comprehensive set of tools that anyone can use - from a beginner to the most sophisticated AI developer - to rapidly build industrial-grade, knowledge-based enterprise LLM applications. Our specific focus is on making it easy to integrate open source small specialized models and connecting enterprise knowledge safely and securely.

Advanced idea generator with market insights for business innovation.

Un aiuto a costruire il Business Model Canvas della tua iniziativa

Get blunt & honest feedback on your logo or create a new one that’s better!

GPT created by Max Del Rosso for SEO optimization, specialized in identifying internal linking opportunities. Through the review of existing content, it suggests targeted changes to integrate effective anchor texts, contributing to improving SERP rankings and user experience.

A simple way to build your CV from scratch or improve existing one

GPT-powered essay rewriter designed to rephrase, enhance, and improve existing essays while maintaining the original meaning, tailored to specific instructions regarding style, tone, and desired improvements.

Harmonizing Challenge and Skill: Learn with the perfect amount of challenge.

Expert in nano silver tech, includes contact info in ads.

Explores the science of indestructible materials and concepts.

I improve objects with animals.

A friendly helper for refining existing stories, maintaining the original tone.

Gives you tips and suggestions on how you can improve your application for your users.

Upload a screenshot of your Tinder profile to improve it and get feedback

Improve your Ideas with First Principles Thinking

Offers exercises and techniques to improve memory retention and cognitive functions.

Generates conversation examples and chunks for specified situations. Improve your instantaneous conversational skills through repetitive practice!

Improve your physical & mental health

Analyzes customer churn and provides strategies to improve loyalty and retention.

Improve your curriculum telling chatgpt your cv and the desired job

Agile expert providing practical, step-by-step advice with the agile way of working of your team and organisation. Whether you're looking to improve your Agile skills or find solutions to specific problems. Including Scrum, Kanban and SAFe knowledge.