Best AI tools for< Find Property Data >

Archistar is a leading property research platform in Australia that empowers users to make confident and compliant property decisions with the help of data and AI. It offers a range of features, including the ability to find and assess properties, generate 3D design concepts, and minimize risk and maximize return on investment. Archistar is trusted by over 100,000 individuals and 1,000 leading property firms.

Archistar is a leading property research platform that utilizes data and AI to help investors, developers, architects, and government officials make confident and compliant decisions. The platform offers features such as finding the best use of a site, researching real estate rules and risks, generating 3D design concepts with AI, and fast-tracking building permit assessments. With over 100,000 users, Archistar provides access to advanced algorithms, filters, and market insights to discover real estate opportunities efficiently.

Soho is a real estate platform that utilizes AI technology to match users with properties for sale and rent based on their criteria. The platform offers a personalized property search experience, market insights, and expert advice to streamline the property buying and renting process. Users can easily find properties, compare agents, track market trends, and receive property recommendations using data and machine learning. Soho aims to simplify the property search journey by providing a user-friendly platform with advanced features and a vast database of listings.

Likely.AI is an AI-powered platform designed for the real estate industry, offering innovative solutions to enhance database management, marketing content creation, and predictive analytics. The platform utilizes advanced AI models to predict likely sellers, update contact information, and trigger automated notifications, ensuring real estate professionals stay ahead of the competition. With features like contact enrichment, predictive modeling, 24/7 contact monitoring, and AI-driven marketing content generation, Likely.AI revolutionizes how real estate businesses operate and engage with their clients. The platform aims to streamline workflows, improve lead generation, and maximize ROI for users in the residential real estate sector.

VIVIS is an AI-powered company that revolutionizes the real estate industry by providing a secure and transparent platform for buying, selling, and improving properties. Their mission is to eliminate real estate fraud and help individuals find their dream home. Leveraging data, technology, and innovation, VIVIS offers a best-in-class real estate experience through their platform.

Kurby is a real estate AI platform that leverages GPT-4 technology to provide comprehensive location insights for homebuyers and investors. It offers powerful property insights, personalized recommendations, and deep dives into neighborhood statistics, revolutionizing the real estate industry with its data-driven approach. Kurby combines AI insights with real-time market data to ensure accurate and up-to-date information for users worldwide.

XLeads is a powerful all-in-one wholesaling software designed to provide wholesalers with a competitive edge in the real estate market. It leverages advanced AI technology to analyze data, find motivated sellers and buyers, and streamline the wholesaling process. XLeads offers features such as AI-enhanced data sourcing, CRM tools, advanced disposition platform, and transformative AI for wholesaling success. The software aims to save users time and money by offering comprehensive tools and services for wholesaling real estate.

Pollox.ai is an AI-powered platform that serves as the ultimate resource for unrepresented home buyers. It offers comprehensive guides, blog posts, and tools to assist individuals in navigating the complex process of buying a home. With advanced algorithms and data analytics, Pollox.ai provides personalized recommendations and insights to help users make informed decisions throughout their home buying journey.

Reworkd is a web data extraction tool that uses AI to generate and repair web extractors on the fly. It allows users to retrieve data from hundreds of websites without the need for developers. Reworkd is used by businesses in a variety of industries, including manufacturing, e-commerce, recruiting, lead generation, and real estate.

Entera is an advanced residential real estate investment platform that enables investors to find, buy, and operate single-family homes at scale. Fueled by AI and full-service transaction services, Entera serves operators, funds, agents, and builders by providing access to on and off-market homes, real-time market data, analytics tools, and expert services. The platform modernizes the real estate buying process, helping clients make data-driven investment decisions, scale their operations, and maximize success.

DealMachine is a real estate investing platform that provides tools and resources to help investors find, analyze, and acquire off-market properties. The platform includes a variety of features such as driving for dollars, list building, unlimited contact info, marketing automation, and a real estate AI assistant. DealMachine is designed to help investors streamline their real estate investing process and close deals faster.

Houmify.com is an AI-powered property companion that offers personalized real estate solutions. The platform uses artificial intelligence to guide users in accessing the best services related to selling a home, buying a home, loan & refinance, and home maintenance. Users can interact with the AI Agent to get expert advice and recommendations tailored to their specific needs and preferences. The website also provides informative posts and articles on real estate topics to help users make informed decisions. With a focus on user experience and convenience, Houmify aims to simplify the real estate process and empower individuals in their property transactions.

RapidREI is an AI-powered platform revolutionizing the real estate industry by simplifying and accelerating the real estate investment process. It offers comprehensive property insights, accurate comparables, and exclusive off-market listings. With features like the RapidOfferAI tool, RapidREI empowers real estate professionals to make more offers, close more deals, and save time and effort. The platform provides a seamless integration, triple offer generation, and cost-efficient solutions, making it a valuable tool for wholesalers, investors, and agents.

Deferred.com is a free AI tool designed to assist users with 1031 exchanges, a tax-deferral strategy in real estate investment. The platform offers a range of resources, including an exchange calculator, expert answers, and matching with 1031 professionals. Users can optimize tax savings, find the right intermediary, and access essential reading materials on tax deferral and exchange rules. With a focus on simplifying the complex process of 1031 exchanges, Deferred.com aims to empower real estate investors to make informed decisions and maximize their financial benefits.

Fontic is an AI Font Search Engine that allows users to find the perfect Google font by describing it. Users can input descriptions like 'A clean sans-serif font for a fintech app' or 'A retro gaming font for a website logo' to search for fonts. The fonts retrieved by Fontic are indexed by Google Fonts and are the property of their respective authors. Fontic simplifies the font search process by leveraging AI technology to match user descriptions with suitable fonts.

The website is a real estate platform that may temporarily block access to users suspected of being bots. It requires JavaScript to function properly and provides a reference ID for users to contact customer service in case of issues. The platform aims to provide a seamless browsing experience for genuine users while preventing automated activities.

IACrea is an online platform that allows users to virtually stage and decorate their homes using artificial intelligence. With IACrea, users can upload photos of their rooms and choose from a variety of furniture and décor options to create realistic and visually appealing images. IACrea's AI technology automatically generates the staged images, making it quick and easy for users to see how their homes would look with different furnishings and décor.

Designify is an AI-powered interior design service that allows users to redesign their rooms in seconds. Users simply need to take a picture of their room and choose the themes they like, and the AI will generate a new design. Designify offers over 60 different interior themes to choose from, so users can find the perfect fit for their space. The AI is also able to generate designs for unfurnished rooms, making it a great tool for people who are starting from scratch. Designify is a great way to get inspiration for your next interior design project, and it's also a great way to see how your room would look with different furniture and décor.

Find AI is an AI-powered search engine that provides users with advanced search capabilities to unlock contact details and gain more accurate insights. The platform caters to individuals and companies looking to research people, companies, startups, founders, and more. Users can access email addresses and premium search features to explore a wide range of data related to various industries and sectors. Find AI offers a user-friendly interface and efficient search algorithms to deliver relevant results in a timely manner.

Find your next book is an AI-powered librarian that provides personalized book recommendations based on your preferences. It uses advanced algorithms to analyze your reading history, interests, and other factors to suggest books that you're likely to enjoy. The platform offers a wide range of genres and authors to choose from, making it easy to find your next favorite read.

Scientific Large Language Models (Sci-LLMs) is a repository that collects papers on scientific large language models, focusing on biology and chemistry domains. It includes textual, molecular, protein, and genomic languages, as well as multimodal language. The repository covers various large language models for tasks such as molecule property prediction, interaction prediction, protein sequence representation, protein sequence generation/design, DNA-protein interaction prediction, and RNA prediction. It also provides datasets and benchmarks for evaluating these models. The repository aims to facilitate research and development in the field of scientific language modeling.

FalkorDB is the first queryable Property Graph database to use sparse matrices to represent the adjacency matrix in graphs and linear algebra to query the graph. Primary features: * Adopting the Property Graph Model * Nodes (vertices) and Relationships (edges) that may have attributes * Nodes can have multiple labels * Relationships have a relationship type * Graphs represented as sparse adjacency matrices * OpenCypher with proprietary extensions as a query language * Queries are translated into linear algebra expressions

LLaMa2lang is a repository containing convenience scripts to finetune LLaMa3-8B (or any other foundation model) for chat towards any language that isn't English. The repository aims to improve the performance of LLaMa3 for non-English languages by combining fine-tuning with RAG. Users can translate datasets, extract threads, turn threads into prompts, and finetune models using QLoRA and PEFT. Additionally, the repository supports translation models like OPUS, M2M, MADLAD, and base datasets like OASST1 and OASST2. The process involves loading datasets, translating them, combining checkpoints, and running inference using the newly trained model. The repository also provides benchmarking scripts to choose the right translation model for a target language.

This repository contains convenience scripts to finetune LLaMa3-8B (or any other foundation model) for chat towards any language (that isn't English). The rationale behind this is that LLaMa3 is trained on primarily English data and while it works to some extent for other languages, its performance is poor compared to English.

The Open MatSci ML Toolkit is a flexible framework for machine learning in materials science. It provides a unified interface to a variety of materials science datasets, as well as a set of tools for data preprocessing, model training, and evaluation. The toolkit is designed to be easy to use for both beginners and experienced researchers, and it can be used to train models for a wide range of tasks, including property prediction, materials discovery, and materials design.

This repository contains a library for constraining LLM generation to structured output, enforcing a JSON schema for precise data types and property names. It includes an acceptor/state machine framework, JSON acceptor, and JSON schema acceptor for guiding decoding in LLMs. The library provides reference implementations using Apple's MLX library and examples for function calling tasks. The tool aims to improve LLM output quality by ensuring adherence to a schema, reducing unnecessary output, and enhancing performance through pre-emptive decoding. Evaluations show performance benchmarks and comparisons with and without schema constraints.

The DALM (Domain Adapted Language Modeling) toolkit is designed to unify general LLMs with vector stores to ground AI systems in efficient, factual domains. It provides developers with tools to build on top of Arcee's open source Domain Pretrained LLMs, enabling organizations to deeply tailor AI according to their unique intellectual property and worldview. The toolkit contains code for fine-tuning a fully differential Retrieval Augmented Generation (RAG-end2end) architecture, incorporating in-batch negative concept alongside RAG's marginalization for efficiency. It includes training scripts for both retriever and generator models, evaluation scripts, data processing codes, and synthetic data generation code.

Build-your-own-AI-Assistant-Solution-Accelerator is a pre-release and preview solution that helps users create their own AI assistants. It leverages Azure Open AI Service, Azure AI Search, and Microsoft Fabric to identify, summarize, and categorize unstructured information. Users can easily find relevant articles and grants, generate grant applications, and export them as PDF or Word documents. The solution accelerator provides reusable architecture and code snippets for building AI assistants with enterprise data. It is designed for researchers looking to explore flu vaccine studies and grants to accelerate grant proposal submissions.

Invariant Analyzer is an open-source scanner designed for LLM-based AI agents to find bugs, vulnerabilities, and security threats. It scans agent execution traces to identify issues like looping behavior, data leaks, prompt injections, and unsafe code execution. The tool offers a library of built-in checkers, an expressive policy language, data flow analysis, real-time monitoring, and extensible architecture for custom checkers. It helps developers debug AI agents, scan for security violations, and prevent security issues and data breaches during runtime. The analyzer leverages deep contextual understanding and a purpose-built rule matching engine for security policy enforcement.

The RAG Experiment Accelerator is a versatile tool that helps you conduct experiments and evaluations using Azure AI Search and RAG pattern. It offers a rich set of features, including experiment setup, integration with Azure AI Search, Azure Machine Learning, MLFlow, and Azure OpenAI, multiple document chunking strategies, query generation, multiple search types, sub-querying, re-ranking, metrics and evaluation, report generation, and multi-lingual support. The tool is designed to make it easier and faster to run experiments and evaluations of search queries and quality of response from OpenAI, and is useful for researchers, data scientists, and developers who want to test the performance of different search and OpenAI related hyperparameters, compare the effectiveness of various search strategies, fine-tune and optimize parameters, find the best combination of hyperparameters, and generate detailed reports and visualizations from experiment results.

Chat with your data using OpenAI and AI Search. This solution accelerator uses an Azure OpenAI GPT model and an Azure AI Search index generated from your data, which is integrated into a web application to provide a natural language interface, including speech-to-text functionality, for search queries. Users can drag and drop files, point to storage, and take care of technical setup to transform documents. There is a web app that users can create in their own subscription with security and authentication.

x-crawl is a flexible Node.js AI-assisted crawler library that offers powerful AI assistance functions to make crawler work more efficient, intelligent, and convenient. It consists of a crawler API and various functions that can work normally even without relying on AI. The AI component is currently based on a large AI model provided by OpenAI, simplifying many tedious operations. The library supports crawling dynamic pages, static pages, interface data, and file data, with features like control page operations, device fingerprinting, asynchronous sync, interval crawling, failed retry handling, rotation proxy, priority queue, crawl information control, and TypeScript support.

LF AI & Data Landscape is a map to explore open source projects in the AI & Data domains, highlighting companies that are members of LF AI & Data. It showcases members of the Foundation and is modelled after the Cloud Native Computing Foundation landscape. The landscape includes current version, interactive version, new entries, logos, proper SVGs, corrections, external data, best practices badge, non-updated items, license, formats, installation, vulnerability reporting, and adjusting the landscape view.

This sample demonstrates a few approaches for creating ChatGPT-like experiences over your own data using the Retrieval Augmented Generation pattern. It uses Azure OpenAI Service to access the ChatGPT model (gpt-35-turbo), and Azure AI Search for data indexing and retrieval.

The oneAPI-samples repository contains a collection of samples for the Intel oneAPI Toolkits. These samples cover various topics such as AI and analytics, end-to-end workloads, features and functionality, getting started samples, Jupyter notebooks, direct programming, C++, Fortran, libraries, publications, rendering toolkit, and tools. Users can find samples based on expertise, programming language, and target device. The repository structure is organized by high-level categories, and platform validation includes Ubuntu 22.04, Windows 11, and macOS. The repository provides instructions for getting samples, including cloning the repository or downloading specific tagged versions. Users can also use integrated development environments (IDEs) like Visual Studio Code. The code samples are licensed under the MIT license.

The official Node.js client for Pinecone, written in TypeScript. This client library provides a high-level interface for interacting with the Pinecone vector database service. With this client, you can create and manage indexes, upsert and query vector data, and perform other operations related to vector search and retrieval. The client is designed to be easy to use and provides a consistent and idiomatic experience for Node.js developers. It supports all the features and functionality of the Pinecone API, making it a comprehensive solution for building vector-powered applications in Node.js.

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This solution accelerator is built on Azure Cognitive Search Service and Azure OpenAI Service to synthesize post-contact center transcripts for intelligent contact center scenarios. It converts raw transcripts into customer call summaries to extract insights around product and service performance. Key features include conversation summarization, key phrase extraction, speech-to-text transcription, sensitive information extraction, sentiment analysis, and opinion mining. The tool enables data professionals to quickly analyze call logs for improvement in contact center operations.

Resources based on historical transactions

Expert in major city property searches, offering real-time data and personalized advice.

AI Real Estate Investment Advisor, combining expert insights with current market info.

Finding you a place to live in the era of AI

A complete knowledge base on cigars, offering detailed, accurate information and guidance.

Singapore property advisor offering market insights and transaction guidance

Quick answers on property listings and services.

Consistent property auction game host with post-purchase renovation insights.

delivers comprehensive property reports for any address

Our assistant for real estate and & tech event 'Building Blocks for the Future' by PropTech Sweden

Expert in Bangalore and India real estate, offering advice and market insights.

TSCinc Florida Real Estate Expert with Legal & Business MBA

关于房地产经纪问题的新西兰房地产买家和卖家权益顾问

A commercial real estate broker aiding in finding users for properties.

Formal advisor, tailors advice to user needs

Guiding in real estate and home ownership

Assistant for property management advice and solutions

Find your perfect home by describing it in plain english.

Assists in real estate investing with clear, informative guidance.

Real estate expert providing personalized advice on home buying and selling.