Best AI tools for< valuation >

SmartBids.ai is a cutting-edge real estate technology startup that provides a suite of tools and technology designed to assist real estate agents in their business. Its AI-powered AVM, listing description writer, photo enhancer, and other tools are designed to help agents save time, close more sales, and increase their revenue.

Creators is a website that offers a service to create pitch decks for startups and growing businesses. They specialize in creating visually stunning and impactful pitch decks that tell the story of the business and capture the attention of investors. They use a data-driven approach to storytelling, incorporating relevant data and analytics to back up the idea and prove its potential to investors. They also use artificial intelligence to identify the most compelling way to present the information, ensuring that the pitch deck is not just informative, but also engaging. Creators has a team of expert designers who excel at transforming complex ideas into clear, understandable visuals that are both stunning and highly effective in communicating the message to potential investors.

PrometAI is an AI-powered business plan generator that helps entrepreneurs and businesses create comprehensive and professional business plans. It offers a range of features and tools to guide users through each step of the planning process, including strategy development, financial analysis, and valuation. PrometAI's platform is designed to simplify and streamline the business planning process, making it accessible to users of all levels of experience.

Quantarium is a pioneering force deeply rooted in data, analytics, and valuation models, the bedrock of our reputation. Fueled by this expertise, we crafted the Terraverse™ vision, which integrates Visual Technologies, Intelligent Mapping, and Large Language Models. Our dual commitment to delivering exceptional products and driving technological advancement is what sets us apart in our vast marketplace.

Eilla is an AI platform that automates mundane tasks and supports complex decision-making in the M&A, VC, and PE deal workflow. It mirrors the highest quality industry professionals to provide accurate and efficient assistance.

Angel Match is the largest and most comprehensive investor database on the internet. It provides investors with the resources they need to find and connect with the best startups. Angel Match also offers a variety of tools to help startups prepare for and pitch to investors.

ZestyAI is an artificial intelligence tool that helps users make brilliant climate and property risk decisions. The tool uses AI to provide insights on property values and risk exposure to natural disasters. It offers products such as Property Insights, Digital Roof, Roof Age, Location Insights, and Climate Risk Models to evaluate and understand property risks. ZestyAI is trusted by top insurers in North America and aims to bring a ten times return on investment to its customers.

Variational AI is a company that uses generative AI to discover novel drug-like small molecules with optimized properties for defined targets. Their platform, Enki™, is the first commercially accessible foundation model for small molecules. It is designed to make generating novel molecule structures easy, with no data required. Users simply define their target product profile (TPP) and Enki does the rest. Enki is an ensemble of generative algorithms trained on decades worth of experimental data with proven results. The company was founded in September 2019 and is based in Vancouver, BC, Canada.

Image Variations (IV) is a free online tool that allows users to generate multiple variations of an image using a stable diffusion model. The tool is easy to use, simply upload an image and the tool will generate multiple variations that match the style of the original image. The generated images are copyright free and can be used for personal or commercial projects.

User Evaluation is an AI-powered insights and analysis tool that helps businesses understand their customers better. With User Evaluation, businesses can quickly and easily gain insights from their customer data, including audio, video, text, and CSV files. User Evaluation's AI-powered features make it easy to transcribe content, generate insights, extract key information, and visualize data. User Evaluation also offers a variety of integrations with popular apps, making it easy to unify your tools and teams.

Chord Variations is a web-based tool that allows users to generate chord progressions and variations. Users can select the root note of the chord, the chord quality, and the number of chords in the progression. The tool then generates a list of possible chord progressions. Users can also click on the "Generate" button to generate a random chord progression. Chord Variations is a useful tool for musicians who want to explore different chord progressions and find new inspiration for their music.

Image Variations is an AI-powered tool that allows you to generate variations of any input image. With just a few clicks, you can create unique and interesting variations of your photos, perfect for social media, marketing, or design projects.

This AI-powered tool assists in validating product ideas by generating interview questions, surveys, and polls. It enables users to identify their target audience, gather feedback, and analyze insights to refine their product development process.

ActionAgent.ai is an AI-powered platform designed to simplify and enhance the management of vacation rentals, specifically tailored for villa owners and Airbnb hosts. It offers features such as AI-lead scheduling, marketing automation, reports & insights, omnichannel customer service, and outreach. By combining technologies like RAG, automation, and voice AI, ActionAgent.ai ensures seamless operations across platforms like Airbnb, Booking.com, and VRBO. The platform provides cost-effective management, multi-channel integration, powerful insights, personalized guest communication, dynamic pricing optimization, and automated maintenance requests to optimize rental operations and enhance guest experiences.

Planitly is an AI-driven travel planning application that allows users to effortlessly create personalized travel itineraries in seconds. By inputting preferences such as destinations, budget, and activities, users can generate tailor-made travel plans with the help of Planitly's AI technology. The platform offers customizable preferences, personalized recommendations for accommodations and dining, and cost and rating suggestions to guide decision-making. Planitly aims to simplify the travel planning process and eliminate the overwhelm associated with traditional methods, providing users with expert local insights and hidden gems for a seamless travel experience.

HostAI is an AI-powered tool designed to help vacation rental and hotel businesses automate their operations and improve guest experiences. It offers a range of features, including automated guest messaging, handling phone calls with AI, automating calendar messages, identifying gap nights, and filtering for urgent matters. HostAI integrates with various property management systems and vacation rental platforms, making it easy for businesses to connect their existing tools and streamline their operations.

Create personalized vacation postcards with AI. Input your details, choose a language, and let our AI generate a unique postcard capturing your vacation memories. Share joy with loved ones back home!

RebeccAi is an AI-powered business idea evaluation and validation tool that helps users turn their ideas into reality. It uses AI technology to provide accurate insights into the potential of ideas and helps refine them quickly and intelligently. RebeccAi is a one-person team for business dreams, providing a strong foundation for projects and helping users move forward with confidence.

AMBLR is a free travel planner that uses AI to create personalized vacation recommendations based on your preferences. With AMBLR, you can easily find things to do in any city, add places you want to visit, select your budget, and choose your interests. AMBLR will then generate a customized itinerary for you, complete with suggested activities, restaurants, and accommodations.

ReiseGenie AI is a travel search engine that uses artificial intelligence to find the best deals on flights, hotels, and vacation packages. It is free to use and has no hidden costs. Users simply need to enter their travel preferences and ReiseGenie AI will do the rest. The company claims that its AI can save users hundreds of euros, a lot of time, and a lot of stress. ReiseGenie AI is still in its early stages of development, but it has already been featured in several publications, including AIxploria, Dang.ai, and AIToolBoard.

Financial Datasets is an open-source Python library that allows users to create question and answer financial datasets using Large Language Models (LLMs). With this library, users can easily generate realistic financial datasets from 10-K, 10-Q, PDF, and other financial texts. The library provides three main methods for generating datasets: from any text, from a 10-K filing, or from a PDF URL. Financial Datasets can be used for a variety of tasks, including financial analysis, research, and education.

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.

Simple-OpenAI is a Java library that provides a simple way to interact with the OpenAI API. It offers consistent interfaces for various OpenAI services like Audio, Chat Completion, Image Generation, and more. The library uses CleverClient for HTTP communication, Jackson for JSON parsing, and Lombok to reduce boilerplate code. It supports asynchronous requests and provides methods for synchronous calls as well. Users can easily create objects to communicate with the OpenAI API and perform tasks like text-to-speech, transcription, image generation, and chat completions.

Agent Evaluation is a generative AI-powered framework for testing virtual agents. It implements an LLM agent (evaluator) to orchestrate conversations with your own agent (target) and evaluate responses. It supports popular AWS services, allows concurrent multi-turn conversations, defines hooks for additional tasks, and can be used in CI/CD pipelines for faster delivery and stable production environments.

LightEval is a lightweight LLM evaluation suite that Hugging Face has been using internally with the recently released LLM data processing library datatrove and LLM training library nanotron. We're releasing it with the community in the spirit of building in the open. Note that it is still very much early so don't expect 100% stability ^^' In case of problems or question, feel free to open an issue!

RAVE is a variational autoencoder for fast and high-quality neural audio synthesis. It can be used to generate new audio samples from a given dataset, or to modify the style of existing audio samples. RAVE is easy to use and can be trained on a variety of audio datasets. It is also computationally efficient, making it suitable for real-time applications.

DeepEval is a simple-to-use, open-source LLM evaluation framework specialized for unit testing LLM outputs. It incorporates various metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., and runs locally on your machine for evaluation. It provides a wide range of ready-to-use evaluation metrics, allows for creating custom metrics, integrates with any CI/CD environment, and enables benchmarking LLMs on popular benchmarks. DeepEval is designed for evaluating RAG and fine-tuning applications, helping users optimize hyperparameters, prevent prompt drifting, and transition from OpenAI to hosting their own Llama2 with confidence.

Awesome-LLM-Eval: a curated list of tools, benchmarks, demos, papers for Large Language Models (like ChatGPT, LLaMA, GLM, Baichuan, etc) Evaluation on Language capabilities, Knowledge, Reasoning, Fairness and Safety.

Evalverse is an open-source project designed to support Large Language Model (LLM) evaluation needs. It provides a standardized and user-friendly solution for processing and managing LLM evaluations, catering to AI research engineers and scientists. Evalverse supports various evaluation methods, insightful reports, and no-code evaluation processes. Users can access unified evaluation with submodules, request evaluations without code via Slack bot, and obtain comprehensive reports with scores, rankings, and visuals. The tool allows for easy comparison of scores across different models and swift addition of new evaluation tools.

Eval-Scope is a framework for evaluating and improving large language models (LLMs). It provides a set of commonly used test datasets, metrics, and a unified model interface for generating and evaluating LLM responses. Eval-Scope also includes an automatic evaluator that can score objective questions and use expert models to evaluate complex tasks. Additionally, it offers a visual report generator, an arena mode for comparing multiple models, and a variety of other features to support LLM evaluation and development.

LLM-jp-eval is a tool designed to automatically evaluate Japanese large language models across multiple datasets. It provides functionalities such as converting existing Japanese evaluation data to text generation task evaluation datasets, executing evaluations of large language models across multiple datasets, and generating instruction data (jaster) in the format of evaluation data prompts. Users can manage the evaluation settings through a config file and use Hydra to load them. The tool supports saving evaluation results and logs using wandb. Users can add new evaluation datasets by following specific steps and guidelines provided in the tool's documentation. It is important to note that using jaster for instruction tuning can lead to artificially high evaluation scores, so caution is advised when interpreting the results.

Prometheus-Eval is a repository dedicated to evaluating large language models (LLMs) in generation tasks. It provides state-of-the-art language models like Prometheus 2 (7B & 8x7B) for assessing in pairwise ranking formats and achieving high correlation scores with benchmarks. The repository includes tools for training, evaluating, and using these models, along with scripts for fine-tuning on custom datasets. Prometheus aims to address issues like fairness, controllability, and affordability in evaluations by simulating human judgments and proprietary LM-based assessments.

This repository contains the code that Defog uses for the evaluation of generated SQL. It's based off the schema from the Spider, but with a new set of hand-selected questions and queries grouped by query category. The testing procedure involves generating a SQL query, running both the 'gold' query and the generated query on their respective database to obtain dataframes with the results, comparing the dataframes using an 'exact' and a 'subset' match, logging these alongside other metrics of interest, and aggregating the results for reporting. The repository provides comprehensive instructions for installing dependencies, starting a Postgres instance, importing data into Postgres, importing data into Snowflake, using private data, implementing a query generator, and running the test with different runners.

EvalPlus is a rigorous evaluation framework for LLM4Code, providing HumanEval+ and MBPP+ tests to evaluate large language models on code generation tasks. It offers precise evaluation and ranking, coding rigorousness analysis, and pre-generated code samples. Users can use EvalPlus to generate code solutions, post-process code, and evaluate code quality. The tool includes tools for code generation and test input generation using various backends.

Inspect AI is a framework developed by the UK AI Safety Institute for evaluating large language models. It offers various built-in components for prompt engineering, tool usage, multi-turn dialog, and model graded evaluations. Users can extend Inspect by adding new elicitation and scoring techniques through additional Python packages. The tool aims to provide a comprehensive solution for assessing the performance and safety of language models.

VLMEvalKit is an open-source evaluation toolkit of large vision-language models (LVLMs). It enables one-command evaluation of LVLMs on various benchmarks, without the heavy workload of data preparation under multiple repositories. In VLMEvalKit, we adopt generation-based evaluation for all LVLMs, and provide the evaluation results obtained with both exact matching and LLM-based answer extraction.

Tonic Validate is a framework for the evaluation of LLM outputs, such as Retrieval Augmented Generation (RAG) pipelines. Validate makes it easy to evaluate, track, and monitor your LLM and RAG applications. Validate allows you to evaluate your LLM outputs through the use of our provided metrics which measure everything from answer correctness to LLM hallucination. Additionally, Validate has an optional UI to visualize your evaluation results for easy tracking and monitoring.

Quantus is a toolkit designed for the evaluation of neural network explanations. It offers more than 30 metrics in 6 categories for eXplainable Artificial Intelligence (XAI) evaluation. The toolkit supports different data types (image, time-series, tabular, NLP) and models (PyTorch, TensorFlow). It provides built-in support for explanation methods like captum, tf-explain, and zennit. Quantus is under active development and aims to provide a comprehensive set of quantitative evaluation metrics for XAI methods.

The Lakera PINT Benchmark provides a neutral evaluation method for prompt injection detection systems, offering a dataset of English inputs with prompt injections, jailbreaks, benign inputs, user-agent chats, and public document excerpts. The dataset is designed to be challenging and representative, with plans for future enhancements. The benchmark aims to be unbiased and accurate, welcoming contributions to improve prompt injection detection. Users can evaluate prompt injection detection systems using the provided Jupyter Notebook. The dataset structure is specified in YAML format, allowing users to prepare their datasets for benchmarking. Evaluation examples and resources are provided to assist users in evaluating prompt injection detection models and tools.

The Chinese LLM Benchmark is a continuous evaluation list of large models in CLiB, covering a wide range of commercial and open-source models from various companies and research institutions. It supports multidimensional evaluation of capabilities including classification, information extraction, reading comprehension, data analysis, Chinese encoding efficiency, and Chinese instruction compliance. The benchmark not only provides capability score rankings but also offers the original output results of all models for interested individuals to score and rank themselves.

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