Best AI tools for< Improve Operational Efficiency >

Prooftiles is a platform designed to help businesses increase their conversion rate and average order value. It offers a suite of tools and features to optimize sales processes and enhance customer experience. With Prooftiles, businesses can access DocsLM to streamline document management and improve efficiency. The platform also provides pricing information, integrations with other tools, and valuable insights through its blog section.

PolyAI is a website that offers a conversational platform powered by lifelike, adaptable, engaging, and dynamic voice AI technology. It aims to enhance customer experience by resolving over 50% of calls and consistently delivering the best brand experience. The platform transforms call centers into revenue generators by handling calls in multiple languages, increasing customer satisfaction, and generating revenue through longer calls. PolyAI helps businesses improve operational efficiency, customer loyalty, and agent satisfaction through actionable insights and modernizing the customer experience stack.

Finbots.ai is a trusted AI credit risk platform that offers AI credit scoring to boost lending profits and reduce non-performing loans. The platform provides the highest accuracy in the market, allowing users to build scorecards in a day without any code. It helps in making instant decisions with reduced operating costs, leading to increased revenue and decreased loss rates. Finbots.ai is trusted by various financial institutions and is known for enhancing operational efficiency, agility, and profitability through its AI-powered solutions.

Airship AI is a cutting-edge, artificial intelligence-driven video, sensor, and data management surveillance platform. Customers rely on their services to provide actionable intelligence in real-time, collected from a wide range of deployed sensors, utilizing the latest in edge and cloud-based analytics. These capabilities improve public safety and operational efficiency for both public sector and commercial clients. Founded in 2006, Airship AI is U.S. owned and operated, headquartered in Redmond, Washington. Airship's product suite is comprised of three core offerings: Acropolis, the enterprise software stack, Command, the family of viewing clients, and Outpost, edge hardware and software AI offerings.

Thoughtful is an AI-powered revenue cycle automation platform that offers efficiency reports, eligibility verification, patient intake automation, claims processing, and more. It deploys AI across healthcare organizations to maximize profitability, reduce errors, and enhance operational excellence. Thoughtful's AI agents work tirelessly, 10x more efficiently than humans, and never get tired. The platform helps providers improve revenue cycle management, financial health, HR processes, and healthcare IT operations through seamless integration, reduced overhead, and significant performance improvements. Thoughtful offers a white-glove service, custom-built platform, seamless integration with all healthcare applications, and performance-based contracting with refund and value guarantees.

Botgo is an AI chatbot development services company that offers integration solutions and virtual assistant features. It provides chatbot templates, process automation, and CRM solutions to enhance customer experiences and operational efficiency. Botgo leverages cutting-edge technology, including Natural Language Processing, to deliver intelligent and realistic conversations without the need for coding. The platform excels in automating tasks, freeing up human resources for more complex activities, and enhancing productivity. With a focus on digital transformation, Botgo empowers businesses across various industries with its advanced AI-driven process automation solution.

AutoRadiant is an AI-powered audio monitoring tool designed for businesses to enhance customer experience and optimize operations. It provides real-time audio transcription and insightful analytics, enabling efficient business operations accessible anytime and anywhere. With features like AI noise reduction, daily transcription summaries, and instant alerts, AutoRadiant helps businesses focus on meaningful customer interactions, turn conversations into actionable insights, and make data-driven decisions. The tool ensures top-notch security measures, strict privacy protocols, and full legal compliance to protect business and customer data.

Federato is an AI-powered platform that integrates Google Cloud's AI capabilities to provide new AI underwriting solutions for the insurance industry. It aims to revolutionize underwriting processes by leveraging AI technology to enhance risk assessment, portfolio management, and decision-making. Federato's RiskOps platform empowers underwriters with powerful insights, real-time risk selection guidance, and unified underwriting workflows, enabling them to make more informed decisions and improve operational efficiency.

NICE is a leading Customer Experience (CX) AI Platform offering a range of AI-driven solutions for businesses to enhance customer experiences, optimize workforce engagement, and improve operational efficiency. The platform provides AI companions for contact center employees, AI-driven customer self-service, AI tools for CX leaders, and actionable insights through CX analytics. NICE also offers solutions tailored for various industries such as healthcare, retail, financial services, insurance, telecom, travel, and hospitality. With a focus on transforming experiences with AI, NICE helps businesses identify behaviors that drive frictionless customer experiences, boost customer loyalty, empower agents, and drive digital transformation.

HOPPR is a medical-grade platform that accelerates the development of tailored applications to enhance clinical care and optimize workflows. The platform streamlines AI development in medical imaging, prioritizes data security and privacy, and offers diverse datasets across modalities, anatomies, demographics, and geographies. HOPPR empowers faster prototyping, hypothesis testing, and scalable applications for research and medical imaging services, addressing the growing crisis in medical imaging by enabling partners to rapidly develop solutions that improve patient care, enhance operational efficiency, and increase clinician satisfaction.

Oncora Medical is an AI-powered platform that revolutionizes oncology care management. The platform offers a Clinical Data Platform for automating document generation and enhancing registry informatics. It provides AI-enabled case findings, revenue cycle management solutions, and cancer registry automation. Oncora's comprehensive AI solutions streamline workflows, improve outcomes, and capture revenue through intelligent automation. Trusted by top healthcare organizations worldwide, Oncora empowers healthcare organizations to achieve remarkable results in oncology care.

APIPark is an open-source AI Gateway and Developer Portal that enables users to easily manage, integrate, and deploy AI and API services. It provides robust API management features, including creation, monitoring, and access control, to help developers efficiently and securely develop and manage their APIs. The platform aims to solve challenges such as connecting to powerful AI models, managing complex AI & API call relationships, overseeing API creation and security, simplifying fault detection and troubleshooting, and enhancing the visibility and valuation of data assets.

Swirl is an open-source software that allows users to simultaneously search multiple content sources and receive AI-ranked results. It connects to various data sources, including databases, public data services, and enterprise sources, and utilizes AI and LLMs to generate insights and answers based on the user's data. Swirl is easy to use, requiring only the download of a YML file, starting in Docker, and searching with Swirl. Users can add credentials to preloaded SearchProviders to access more sources. Swirl also offers integration with ChatGPT as a configured AI model. It adapts and distributes user queries to anything with a search API, re-ranking the unified results using Large Language Models without extracting or indexing anything. Swirl includes five Google Programmable Search Engines (PSEs) to get users up and running quickly. Key features of Swirl include Microsoft 365 integration, SearchProvider configurations, query adaptation, synchronous or asynchronous search federation, optional subscribe feature, pipelining of Processor stages, results stored in SQLite3 or PostgreSQL, built-in Query Transformation support, matching on word stems and handling of stopwords, duplicate detection, re-ranking of unified results using Cosine Vector Similarity, result mixers, page through all results requested, sample data sets, optional spell correction, optional search/result expiration service, easily extensible Connector and Mixer objects, and a welcoming community for collaboration and support.

The AI-Gateway repository explores the AI Gateway pattern through a series of experimental labs, focusing on Azure API Management for handling AI services APIs. The labs provide step-by-step instructions using Jupyter notebooks with Python scripts, Bicep files, and APIM policies. The goal is to accelerate experimentation of advanced use cases and pave the way for further innovation in the rapidly evolving field of AI. The repository also includes a Mock Server to mimic the behavior of the OpenAI API for testing and development purposes.

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.

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.

This repository provides a systematic and comprehensive review of efficient LLMs research. We organize the literature in a taxonomy consisting of three main categories, covering distinct yet interconnected efficient LLMs topics from **model-centric** , **data-centric** , and **framework-centric** perspective, respectively. We hope our survey and this GitHub repository can serve as valuable resources to help researchers and practitioners gain a systematic understanding of the research developments in efficient LLMs and inspire them to contribute to this important and exciting field.

Arbigent (Arbiter-Agent) is an AI agent testing framework designed to make AI agent testing practical for modern applications. It addresses challenges faced by traditional UI testing frameworks and AI agents by breaking down complex tasks into smaller, dependent scenarios. The framework is customizable for various AI providers, operating systems, and form factors, empowering users with extensive customization capabilities. Arbigent offers an intuitive UI for scenario creation and a powerful code interface for seamless test execution. It supports multiple form factors, optimizes UI for AI interaction, and is cost-effective by utilizing models like GPT-4o mini. With a flexible code interface and open-source nature, Arbigent aims to revolutionize AI agent testing in modern applications.

Awesome-Attention-Heads is a platform providing the latest research on Attention Heads, focusing on enhancing understanding of Transformer structure for model interpretability. It explores attention mechanisms for behavior, inference, and analysis, alongside feed-forward networks for knowledge storage. The repository aims to support researchers studying LLM interpretability and hallucination by offering cutting-edge information on Attention Head Mining.

Awesome-LLM is a curated list of resources related to large language models, focusing on papers, projects, frameworks, tools, tutorials, courses, opinions, and other useful resources in the field. It covers trending LLM projects, milestone papers, other papers, open LLM projects, LLM training frameworks, LLM evaluation frameworks, tools for deploying LLM, prompting libraries & tools, tutorials, courses, books, and opinions. The repository provides a comprehensive overview of the latest advancements and resources in the field of large language models.

This repository is dedicated to summarizing papers related to large language models with the field of law. It includes applications of large language models in legal tasks, legal agents, legal problems of large language models, data resources for large language models in law, law LLMs, and evaluation of large language models in the legal domain.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

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.

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.

A mentor for janitorial entrepreneurs offering guidance for scaling cleaning businesses.

Dansk vejledning i outsourcing regler for forsikringsselskaber

Advises on robotics technologies to enhance operational efficiency.

Lean Six Sigma expert for operational excellence and project management.

Improves operational efficiency by optimizing processes and reducing waste.

Optimizes production processes for improved efficiency and quality.

Optimizes manufacturing processes for efficiency and quality.

Your expert fractional COO, the authority for all things operations, business strategy and execution.

Guides organizational structure optimization for efficiency and productivity.

Operations management expert providing advice and solutions

Expert in manufacturing operations and digital transformation guidance

Manages office supplies to ensure smooth operations.

Find optimal solution to any problem

Expert in simplifying tasks with tailored solutions

Upload your process map and I will analyse and suggest improvements

Aid in managing and optimizing OEM production orders in the auto industry.

Advises on e-procurement systems to optimize purchasing processes.

Artificial Program Manager with DALL·E integration

Advisor specialized in enterprise costs cut

Industry-tailored CTO advice for varied tech maturity levels.