Best AI tools for< Improve Profitability >

Caffeinated CX is an AI-powered customer support solution that helps businesses improve their customer support efficiency. It offers a range of features, including AI-powered response generation, ticket auto-triage, macro suggestion, and more. Caffeinated CX integrates with all major support software and is easy to implement. It is used by leading brands across industries and has helped them achieve significant improvements in their customer support metrics.

Encounter AI is an automated ordering assistant designed specifically for restaurants and retail establishments. It aims to increase staff capacity and productivity by providing a robust voice solution to enhance the drive-thru experience. The AI technology enables operators to optimize existing resources, such as human capital or technology assets, to improve profitability. Encounter AI is 'kaizen' in nature, continuously learning through machine learning to stay updated on menu items and ordering preferences, ultimately enhancing the customer experience.

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 the need for coding. It helps financial institutions make instant decisions, increase revenue, decrease loss rates, and reduce operating costs. Finbots.ai is used by various banks and financial institutions globally to enhance credit risk management, improve profitability, and drive digital transformation.

Convr is a modularized AI underwriting and intelligent document automation workbench that enriches and expedites the commercial insurance new business and renewal submission flow with underwriting insights, business classification and risk scoring. As a trusted technology partner and advisor with deep industry expertise, we help insurance organizations transform their underwriting operations through our AI-driven digital underwriting analysis platform.

Connecterra is an intelligent data platform designed specifically for the dairy industry. It provides farmers, advisors, and enterprises with a comprehensive suite of tools to collect, analyze, and visualize their farm data. With advanced AI capabilities, Connecterra helps users identify trends, make informed decisions, and improve their overall operational efficiency.

Connecterra is an intelligent data platform designed specifically for the dairy industry. It provides farmers, advisors, and enterprises with a comprehensive suite of tools to collect, analyze, and visualize their farm data. With advanced AI capabilities, Connecterra helps users identify trends, optimize decision-making, and improve overall farm performance.

AllRize is a legal practice management software designed to streamline operations, enhance efficiency, and improve profitability for modern law firms. It offers a comprehensive solution built on Microsoft 365 platform, integrating CRM, marketing, matter management, and accounting. AllRize aims to provide total transparency, visibility, and control to law firms, helping them make informed business decisions and stay competitive in the legal market.

Timely is an AI-powered time tracking software that helps businesses automate time tracking, bill clients accurately, and improve productivity. It offers features such as automatic time tracking, memory tracker, timesheets, project dashboard, and task management. Timely is trusted by thousands of users across various industries to provide accurate time data for informed decision-making and increased profitability.

Thematic is an AI-powered platform that transforms noisy feedback into accurate and layered insights. It empowers users with the understanding to be customer-led and saves time by providing specific insights in seconds. Thematic offers powerful analytics and visualizations, coversational analytics, and intelligence from every interaction. The platform allows users to connect and combine feedback from various sources, tag and theme feedback with AI, and analyze feedback through filters like product, channel, region, theme, sentiment, or date. Thematic is a trustworthy tool for customer feedback analysis, used by insights analysts, researchers, and product managers to improve customer experiences, usage, and profitability.

ThroughPut AI is a supply chain decision intelligence and analytics platform designed for outcome-driven supply chain decision-makers. It provides accurate demand forecasting, capacity planning, logistics management, and financial insights to drive business results. ThroughPut AI offers a single source of truth for supply chain professionals, enabling them to make faster, better, and confident decisions. The platform helps unlock efficiency, profitability, and growth in day-to-day operations by providing intelligent data-driven recommendations.

VUW.ai is a unique virtual underwriting platform that offers end-to-end digital trading solutions for specialty insurance lines. The platform leverages machine learning to improve risk selection, reduce volatility, increase consistency, and enhance profitability and underwriting controls while lowering operating costs. VUW.ai aims to revolutionize the insurance market by providing a cost-effective and tech-based underwriting solution that caters to brokers and capacity providers. The platform also offers services in Property, Casualty, and Marine Cargo business, with plans to expand into other classes like Livestock, Fine Art, and Political Violence.

Profit Isle is an AI application that helps enterprises make data-driven decisions to enhance profitability and drive value to the bottom line. The platform integrates and transforms enterprise data to power AI initiatives, providing actionable insights and recommendations grounded in company data. Profit Isle prioritizes transparency, data governance, and privacy to ensure customers can confidently run AI models and make informed decisions.

MagicBid LLC is a web, mobile app, and CTV monetization platform that utilizes new age technology and AI-driven strategies to enhance profits for app and web publishers. The platform offers services such as app monetization, web monetization, and CTV monetization, empowering publishers with tools like Auto AdPilot, in-app bidding app monetization, growth intelligence, power ad servers, demand control center, privacy, and fraud protection. MagicBid aims to optimize ad revenue potential through a single SDK integration, connecting with 200+ top ad demand sources, ensuring impressive fill rates, zero latency, and battery drain. The platform also provides attack protection, privacy, and fraud protection services, complying with industry standards like IAB, GDPR, COPPA, and CCPA.

Blockbrain is an AI-driven platform that helps businesses transform their unique knowledge into a competitive advantage. The platform streamlines processes, enhances communication, and boosts profitability while ensuring the security of valuable company information. It offers AI-powered solutions for sales productivity, machinery maintenance, digital twin implementation, and compliance automation. Blockbrain's Knowledge Bots, Cortex Data Vault, and measurable benefits for businesses make it a trusted choice for Mittelstand industry leaders.

Eclipse AI is an AI-powered customer feedback analytics platform that helps businesses seamlessly collect and unify customer feedback from various channels. By automating the analysis process, Eclipse AI provides actionable insights to improve customer experience and drive retention. The platform centralizes voice-of-customer data, saves hours of manual work, and enables businesses to make data-driven decisions to enhance customer loyalty and boost profitability.

Motive is an all-in-one fleet management platform that provides businesses with a variety of tools to help them improve safety, efficiency, and profitability. Motive's platform includes features such as AI-powered dashcams, ELD compliance, GPS fleet tracking, equipment monitoring, and fleet card management. Motive's platform is used by over 120,000 companies, including small businesses and Fortune 500 enterprises.

Sports AI is an AI-powered platform that provides the most accurate and profitable sports predictions in the market. It utilizes machine learning algorithms and advanced sports data to offer free daily predictions for a wide range of events. Users can revolutionize their betting strategy with AI-powered value bets across various sports like soccer/football, tennis, basketball, hockey, handball, and volleyball. The platform helps users make better betting decisions by analyzing data, learning from past mistakes, and accurately determining the profitability of certain outcomes.

Sports AI is an AI-powered platform that provides the most accurate and profitable sports predictions on the market. It utilizes machine learning algorithms and advanced sports data to offer daily predictions for various events across sports like soccer/football, tennis, basketball, hockey, handball, and volleyball. The platform helps users make better betting decisions by analyzing data, learning from past mistakes, and improving over time to accurately determine the profitability of certain outcomes. Sports AI also offers a blog with valuable information on bet tips, value betting, and technical details of their algorithms.

Storytell.ai is an AI-powered platform designed to amplify team productivity by providing business-grade intelligence across data. It offers features such as SmartChat™, tagging, and content structuring to enhance work, life, and play experiences. Trusted by users across various industries, Storytell.ai leverages AI technology to streamline tasks and decision-making processes, ultimately leading to increased efficiency and profitability.

LEAFIO AI SOLUTIONS is an AI-driven retail automation software that revolutionizes supply chain and retail operations. The platform offers inventory optimization, demand planning, automatic replenishment, promotion management, and assortment performance. It helps retailers and CPG manufacturers enhance revenue, profitability, and market presence through AI-powered solutions. LEAFIO leverages AI technology to streamline merchandising processes, improve logistics management, and optimize customer loyalty programs. With a focus on operational excellence and automation, LEAFIO aims to drive margin and revenue growth for businesses in the retail industry.

SyPB is a Counter-Strike 1.6 bot based on YaPB2.7.2. It provides a NPC system and an AMXX API for enhancing gameplay. The tool is designed for Windows users and can be downloaded from the provided link. SyPB aims to improve the gaming experience by offering advanced bot functionalities and integration with the AMXX API.

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.

Athina is an open-source library designed to help engineers improve the reliability and performance of Large Language Models (LLMs) through eval-driven development. It offers plug-and-play preset evals for catching and preventing bad outputs, measuring model performance, running experiments, A/B testing models, detecting regressions, and monitoring production data. Athina provides a solution to the flaws in current LLM developer workflows by offering rapid experimentation, customizable evaluators, integrated dashboard, consistent metrics, historical record tracking, and easy setup. It includes preset evaluators for RAG applications and summarization accuracy, as well as the ability to write custom evals. Athina's evals can run on both development and production environments, providing consistent metrics and removing the need for manual infrastructure setup.

Baal is an active learning library that supports both industrial applications and research use cases. It provides a framework for Bayesian active learning methods such as Monte-Carlo Dropout, MCDropConnect, Deep ensembles, and Semi-supervised learning. Baal helps in labeling the most uncertain items in the dataset pool to improve model performance and reduce annotation effort. The library is actively maintained by a dedicated team and has been used in various research papers for production and experimentation.

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.

KnowAgent is a tool designed for Knowledge-Augmented Planning for LLM-Based Agents. It involves creating an action knowledge base, converting action knowledge into text for model understanding, and a knowledgeable self-learning phase to continually improve the model's planning abilities. The tool aims to enhance agents' potential for application in complex situations by leveraging external reservoirs of information and iterative processes.

The Top-Osu!-Hacks-2024 repository is a comprehensive collection of cheats and mods designed to enhance gameplay experience in Osu!. It offers aim assist, relax hacks, undetected bots, and various cheats to improve gameplay. Users can easily download and install these hacks to automate gameplay, improve aim, and enjoy the game with relaxed settings. The repository is optimized for search engines and provides the latest and most effective hacks for Osu! in 2024.

The Top-Osu!-Hacks-2024 repository offers a comprehensive suite of powerful cheats and mods designed to enhance gameplay experience in Osu!. It provides aim assist hacks, bots, and various cheats to improve gameplay. Users can easily download and install the cheats to automate gameplay, improve aim accuracy, and play with relaxed settings. The repository is optimized for search engines using targeted keywords and meta descriptions to help players find Osu! hacks easily.

Mutahunter is an open-source language-agnostic mutation testing tool maintained by CodeIntegrity. It leverages LLM models to inject context-aware faults into codebase, ensuring comprehensive testing. The tool aims to empower companies and developers to enhance test suites and improve software quality by verifying the effectiveness of test cases through creating mutants in the code and checking if the test cases can catch these changes. Mutahunter provides detailed reports on mutation coverage, killed mutants, and survived mutants, enabling users to identify potential weaknesses in their test suites.

Foyle is a project focused on building agents to assist software developers in deploying and operating software. It aims to improve agent performance by collecting human feedback on agent suggestions and human examples of reasoning traces. Foyle utilizes a literate environment using vscode notebooks to interact with infrastructure, capturing prompts, AI-provided answers, and user corrections. The goal is to continuously retrain AI to enhance performance. Additionally, Foyle emphasizes the importance of reasoning traces for training agents to work with internal systems, providing a self-documenting process for operations and troubleshooting.

Mortal (凡夫) is a free and open source AI for Japanese mahjong, powered by deep reinforcement learning. It provides a comprehensive solution for playing Japanese mahjong with AI assistance. The project focuses on utilizing deep reinforcement learning techniques to enhance gameplay and decision-making in Japanese mahjong. Mortal offers a user-friendly interface and detailed documentation to assist users in understanding and utilizing the AI effectively. The project is actively maintained and welcomes contributions from the community to further improve the AI's capabilities and performance.

FisherAI is a Chrome extension designed to improve learning efficiency. It supports automatic summarization, web and video translation, multi-turn dialogue, and various large language models such as gpt/azure/gemini/deepseek/mistral/groq/yi/moonshot. Users can enjoy flexible and powerful AI tools with FisherAI.

RAG-FiT is a library designed to improve Language Models' ability to use external information by fine-tuning models on specially created RAG-augmented datasets. The library assists in creating training data, training models using parameter-efficient finetuning (PEFT), and evaluating performance using RAG-specific metrics. It is modular, customizable via configuration files, and facilitates fast prototyping and experimentation with various RAG settings and configurations.

UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured evaluations (covering language, code, embedding use cases), perform root cause analysis on failure cases and give insights on how to resolve them.

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.

Koordinator is a QoS based scheduling system for hybrid orchestration workloads on Kubernetes. It aims to improve runtime efficiency and reliability of latency sensitive workloads and batch jobs, simplify resource-related configuration tuning, and increase pod deployment density. It enhances Kubernetes user experience by optimizing resource utilization, improving performance, providing flexible scheduling policies, and easy integration into existing clusters.

Python Trending Weekly is a curated newsletter by Python猫 that selects the most valuable articles, tutorials, open-source projects, software tools, podcasts, videos, and hot topics from over 250 English and Chinese sources. The newsletter aims to help readers improve their Python skills and increase their income from both professional and side projects. It offers paid subscription options and is available on various platforms like GitHub, WeChat, blogs, email, Telegram, and Twitter. Each issue shares a collection of articles, open-source projects, videos, and books related to Python and technology.

Akagi is a project designed to help users understand and improve their performance in Majsoul game matches in real-time. It provides educational insights and tools for analyzing gameplay. Users can install Akagi on Windows or Mac systems and follow the setup instructions to enhance their gaming experience. The project aims to offer features like Autoplay, Auto Ron, and integration with MajsoulUnlocker. It also focuses on enhancing user safety by providing guidelines to minimize the risk of account suspension. Akagi is a tool that combines MITM interception, AI decision-making, and user interaction to optimize gameplay strategies and performance.

DevQualityEval is an evaluation benchmark and framework designed to compare and improve the quality of code generation of Language Model Models (LLMs). It provides developers with a standardized benchmark to enhance real-world usage in software development and offers users metrics and comparisons to assess the usefulness of LLMs for their tasks. The tool evaluates LLMs' performance in solving software development tasks and measures the quality of their results through a point-based system. Users can run specific tasks, such as test generation, across different programming languages to evaluate LLMs' language understanding and code generation capabilities.

善用杜邦分析算法分析财报

Expert in driving profitability through sustainability.

CofounderGPT: Your AI Sidekick in Business - Always ready to offer smart advice and insights for your entrepreneurial journey.

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.

I improve objects with animals.

I improve marketing effectiveness by designing stunning research-led assets in a flash!

Helps improve language skills through interactive scenarios and feedback.

I improve Dutch sentences, explain errors, and give tips.

Bypass Internet censorship & improve your security online

Help you to improve your generative art for use in AI

Tech expert helping improve your internet speed

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）