Best AI tools for< Source Investments >

Accorata is an AI deal sourcing platform designed for early-stage investors. It helps investors navigate the crowded market by quickly finding and verifying investment opportunities that align with their investment thesis. The platform offers lightning-fast startup signals, automated processing of incoming deals, AI-boosted founder due diligence, and data stored on secure servers. Accorata is trusted by over 50 early-stage investors and offers different pricing plans tailored to the needs of different users.

Biyond is a comprehensive platform that provides insightful crypto investment guidance through a combination of expert analysis, advanced trading indicators, and AI-powered tools. It empowers users with actionable market intelligence, enabling them to make informed investment decisions and navigate the complexities of the cryptocurrency market. Biyond's unique trading indicators, driven by machine learning models, offer a competitive edge, while its investable portfolios cater to diverse investment objectives. The platform's team of professional traders, data scientists, and AI experts provides valuable insights and support, making Biyond a trusted source for crypto investors of all experience levels.

The website is an AI tool that focuses on investing in startups, leading rounds from seed to growth, and sponsoring an accelerator for seed-stage AI companies. It also runs a supercomputer for AI startups and has made investments in various companies. The team behind the tool includes Nat Friedman, Daniel Gross, Hersh Desai, and Lenny Bogdonoff. In addition to investments, the tool is involved in giving grants to open source AI projects and other activities like reading the Herculaneum papyrii and building a city in North America.

ModelOp is the leading AI Governance software for enterprises, providing a single source of truth for all AI systems, automated process workflows, real-time insights, and integrations to extend the value of existing technology investments. It helps organizations safeguard AI initiatives without stifling innovation, ensuring compliance, accelerating innovation, and improving key performance indicators. ModelOp supports generative AI, Large Language Models (LLMs), in-house, third-party vendor, and embedded systems. The software enables visibility, accountability, risk tiering, systemic tracking, enforceable controls, workflow automation, reporting, and rapid establishment of AI governance.

Claravine is an AI tool that creates shared language and standards for marketing data. It eliminates flawed data, conflict, and the blame game by ensuring data accuracy, improving accountability, and building trust. The platform helps enterprise brands and agencies deliver on the promise of modern marketing by consistently creating and applying data standards. With features like defining standards, applying standards, and connecting standards, Claravine maximizes campaign and technology investments to drive better results. Customers report significant improvements in return on ad spend, data compliance, and time spent on manual data processes. The platform enables global collaboration, automates data flows, and adapts quickly to changing business needs. Trusted by global brands, Claravine provides visibility into campaign performance, data consistency across organizations, and a single source of truth for marketing data.

OGBRAIN is a website that provides Crypto Data Intelligence, Market Analytics, and On-Chain Insights. The platform offers a wide range of information related to cryptocurrencies, including market trends, prices, market capitalization, and trading volumes. Users can access real-time data on various cryptocurrencies and stay updated on the latest news and trends in the crypto market.

Landscape is an AI operating system designed for venture funds to enhance their investment strategies. It offers out-of-the-box AI and data-driven processes to help leading funds stay ahead of the curve. The platform assists in automating monitoring, sourcing, diligence, and market mapping activities, enabling investment teams to make better-informed decisions efficiently. Landscape aggregates and processes startup data from various sources to provide insights and visibility into the market landscape, helping investors identify and engage with potential opportunities. The platform is trusted by global venture funds managing billions of dollars, emphasizing its reliability and effectiveness in driving data-driven investment strategies.

Quill is an AI-powered SEC filing platform that leverages financially-tuned AI to extract key information from company filings. It provides historical financial data, real-time SEC filings, earnings call transcripts, and more. Quill offers state-of-the-art sentence-level source citations, preventing misinformation. Users can ask questions about companies, extract numerical data, and receive alerts on filings. The platform automates earnings call analysis and can transform PDFs into spreadsheets. Quill is designed for analysts and professionals seeking accurate and up-to-date financial information.

Stocknews AI is an AI-powered platform that curates and delivers the best stock news from over 100 sources. It utilizes artificial intelligence to pick the most relevant and timely stock news articles, providing users with valuable insights and information to make informed investment decisions. Stocknews AI aims to streamline the process of staying updated on the latest market trends and developments, offering a comprehensive overview of stock news in one convenient location.

Pluto.fi is an AI investing application that provides users with research, insights, and trading capabilities in one platform. It offers personalized AI assistance for making informed investment decisions, analyzing real-time market data, and optimizing investment portfolios. With access to over 40 data sources, Pluto ensures users stay informed and empowered to make prompt decisions. The application is trusted by individuals taking control of their finances and offers features like scheduled prompts, portfolio optimization, attachments & charts, and syncing of financial accounts.

Crunchbase Solutions is an AI-powered company intelligence platform that helps users find prospects, investors, conduct market research, enrich databases, and build products. The platform offers products like Crunchbase Pro and Crunchbase Enterprise, providing personalized recommendations, AI-powered insights, and tools for company discovery and research. With a focus on leveraging AI technology, Crunchbase Solutions aims to assist users in making better decisions about investments, pipeline management, fundraising, partnerships, and product development. The platform's data is sourced from various contributors, partners, in-house experts, and AI algorithms, ensuring quality and compliance with SOC 2 Type II standards.

Stockpulse is an AI-powered platform that analyzes financial news and communities using Artificial Intelligence. It provides decision support for operations by collecting, filtering, and converting unstructured data into processable information. With extensive coverage of financial media sources globally, Stockpulse offers unique historical data, sentiment analysis, and AI-driven insights for various sectors in the financial markets.

Beatandraise is an AI-powered platform that offers Equity Research services by leveraging AI and ChatGPT technology on SEC Edgar Chat history. The platform allows users to quickly analyze SEC filings, get attributed sources, and access time series data from documents. Users can sign up for free to explore the features and capabilities of the platform. Beatandraise aims to streamline the investment process by providing efficient and accurate insights through AI technology.

Daloopa is an AI financial modeling tool designed to automate fundamental data updates for financial analysts working in Excel. It helps analysts build and update financial models efficiently by eliminating manual work and providing accurate, auditable data points sourced from thousands of companies. Daloopa leverages AI technology to deliver complete and comprehensive data sets faster than humanly possible, enabling analysts to focus on analysis, insight generation, and idea development to drive better investment decisions.

notreload is an AI-based web service that helps users automate public web content monitoring for investing and trading purposes. Its AI and Natural Language Processing (NLP) technology uncover relevant data points within millions of documents and posts instantly. notreload scours all sources of company news, then filters out the noise to deliver short-form stories consisting of only stock-moving content. It tracks anything and alerts you anywhere, eliminating the need for constant checking and re-checking.

DataSnack is a real-time, AI-driven due diligence platform that helps you make better decisions faster. With DataSnack, you can access a wealth of data and insights on companies, industries, and markets, all in one place. Our AI-powered platform analyzes data from a variety of sources, including news, social media, and financial filings, to provide you with the most up-to-date and relevant information. With DataSnack, you can:

Inven is an AI-powered company data platform that helps professionals in private equity, investment banking, business brokerage, consulting, and corporate development find companies faster and more efficiently. With Inven, users can access a database of over 23 million companies and 430 million contacts in over 160 countries. Inven's AI algorithms and NLP solutions analyze millions of data points from a wide range of sources to give users actionable insights on any niche.

Onnix AI is a personalized AI co-pilot designed specifically for banking professionals. It saves teams time by providing accurate answers and deliverables quickly, leveraging AI and powerful data science tools. Onnix helps in creating slide decks 10x faster, running Excel analysis, and querying data sources instantly. It is built by bankers for bankers, offering a no-code platform for generating deeper insights from data. Onnix streamlines the process of creating presentations, analyzing data, and accessing information from data providers, making it an essential tool for banking teams.

VoiceLark is a real-time crypto content aggregator with sentiment analysis powered by advanced AI technology. It provides users with insights into market emotions, sentiments, and trends related to cryptocurrencies. The platform collects and analyzes data from over 110 different sources on the web, offering summaries, sentiment evaluations, and rankings of cryptocurrencies to help investors and traders make informed decisions based on market sentiments.

QnA3 is an AI-driven Web3 knowledge engine that provides real-time insights and analysis on the cryptocurrency market. It uses natural language processing and machine learning to extract insights from a variety of sources, including news articles, social media, and market data. QnA3 can be used to track the performance of individual cryptocurrencies, identify trends, and make informed trading decisions.

Discord Midjourney Bot is an open-source bot designed for AI enthusiasts, providing various AI art functionalities without any paywalls. Users can enjoy features like text to image conversion, image transformation, logo generation, face swap, image upscaling, and more. The bot aims to offer advanced customizable image generation capabilities, including access to language models and canvas size customization. Additionally, the project is open to partnerships and investments, with opportunities for bloggers to review the product. The bot requires Node v18+ to run and integrates with Replicate API for certain functionalities.

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.

Linguflex is a project that aims to simulate engaging, authentic, human-like interaction with AI personalities. It offers voice-based conversation with custom characters, alongside an array of practical features such as controlling smart home devices, playing music, searching the internet, fetching emails, displaying current weather information and news, assisting in scheduling, and searching or generating images.

Transformers_And_LLM_Are_What_You_Dont_Need is a repository that explores the limitations of transformers in time series forecasting. It contains a collection of papers, articles, and theses discussing the effectiveness of transformers and LLMs in this domain. The repository aims to provide insights into why transformers may not be the best choice for time series forecasting tasks.

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.

The frontend repository for Stocknear, an open-source stock analysis and community platform powered by Sveltekit, Tailwindcss, and DaisyUI. The core idea of Stocknear is to be fast and simple, welcoming contributions that focus on refactoring slow code into fast code and increasing simplicity and readability. Users can become Pro Members to access unlimited features or donate money via Ko-fi to support the platform's maintenance costs.

Qlib is an open-source, AI-oriented quantitative investment platform that supports diverse machine learning modeling paradigms, including supervised learning, market dynamics modeling, and reinforcement learning. It covers the entire chain of quantitative investment, from alpha seeking to order execution. The platform empowers researchers to explore ideas and implement productions using AI technologies in quantitative investment. Qlib collaboratively solves key challenges in quantitative investment by releasing state-of-the-art research works in various paradigms. It provides a full ML pipeline for data processing, model training, and back-testing, enabling users to perform tasks such as forecasting market patterns, adapting to market dynamics, and modeling continuous investment decisions.

This repository contains the Python source code for FINMEM, a Performance-Enhanced Large Language Model Trading Agent with Layered Memory and Character Design. It introduces FinMem, a novel LLM-based agent framework devised for financial decision-making, encompassing three core modules: Profiling, Memory with layered processing, and Decision-making. FinMem's memory module aligns closely with the cognitive structure of human traders, offering robust interpretability and real-time tuning. The framework enables the agent to self-evolve its professional knowledge, react agilely to new investment cues, and continuously refine trading decisions in the volatile financial environment. It presents a cutting-edge LLM agent framework for automated trading, boosting cumulative investment returns.

This repository provides a comprehensive collection of resources, open-source tools, and knowledge related to quantitative analysis. It serves as a valuable knowledge base and navigation guide for individuals interested in various aspects of quantitative investing, including platforms, programming languages, mathematical foundations, machine learning, deep learning, and practical applications. The repository is well-structured and organized, with clear sections covering different topics. It includes resources on system platforms, programming codes, mathematical foundations, algorithm principles, machine learning, deep learning, reinforcement learning, graph networks, model deployment, and practical applications. Additionally, there are dedicated sections on quantitative trading and investment, as well as large models. The repository is actively maintained and updated, ensuring that users have access to the latest information and resources.

searchGPT is an open-source project that aims to build a search engine based on Large Language Model (LLM) technology to provide natural language answers. It supports web search with real-time results, file content search, and semantic search from sources like the Internet. The tool integrates LLM technologies such as OpenAI and GooseAI, and offers an easy-to-use frontend user interface. The project is designed to provide grounded answers by referencing real-time factual information, addressing the limitations of LLM's training data. Contributions, especially from frontend developers, are welcome under the MIT License.

Qbot is an AI-oriented automated quantitative investment platform that supports diverse machine learning modeling paradigms, including supervised learning, market dynamics modeling, and reinforcement learning. It provides a full closed-loop process from data acquisition, strategy development, backtesting, simulation trading to live trading. The platform emphasizes AI strategies such as machine learning, reinforcement learning, and deep learning, combined with multi-factor models to enhance returns. Users with some Python knowledge and trading experience can easily utilize the platform to address trading pain points and gaps in the market.

Tero Subtitler is an open source, cross-platform, and free subtitle editing software with a user-friendly interface. It offers fully fledged editing with SMPTE and MEDIA modes, support for various subtitle formats, multi-level undo/redo, search and replace, auto-backup, source and transcription modes, translation memory, audiovisual preview, timeline with waveform visualizer, manipulation tools, formatting options, quality control features, translation and transcription capabilities, validation tools, automation for correcting errors, and more. It also includes features like exporting subtitles to MP3, importing/exporting Blu-ray SUP format, generating blank video, generating video with hardcoded subtitles, video dubbing, and more. The tool utilizes powerful multimedia playback engines like mpv, advanced audio/video manipulation tools like FFmpeg, tools for automatic transcription like whisper.cpp/Faster-Whisper, auto-translation API like Google Translate, and ElevenLabs TTS for video dubbing.

FinRobot is an open-source AI agent platform designed for financial applications using large language models. It transcends the scope of FinGPT, offering a comprehensive solution that integrates a diverse array of AI technologies. The platform's versatility and adaptability cater to the multifaceted needs of the financial industry. FinRobot's ecosystem is organized into four layers, including Financial AI Agents Layer, Financial LLMs Algorithms Layer, LLMOps and DataOps Layers, and Multi-source LLM Foundation Models Layer. The platform's agent workflow involves Perception, Brain, and Action modules to capture, process, and execute financial data and insights. The Smart Scheduler optimizes model diversity and selection for tasks, managed by components like Director Agent, Agent Registration, Agent Adaptor, and Task Manager. The tool provides a structured file organization with subfolders for agents, data sources, and functional modules, along with installation instructions and hands-on tutorials.

Lobe Chat is an open-source, modern-design ChatGPT/LLMs UI/Framework. Supports speech-synthesis, multi-modal, and extensible ([function call][docs-functionc-call]) plugin system. One-click **FREE** deployment of your private OpenAI ChatGPT/Claude/Gemini/Groq/Ollama chat application.

Awesome LLM Apps is a curated collection of applications that leverage RAG with OpenAI, Anthropic, Gemini, and open-source models. The repository contains projects such as Local Llama-3 with RAG for chatting with webpages locally, Chat with Gmail for interacting with Gmail using natural language, Chat with Substack Newsletter for conversing with Substack newsletters using GPT-4, Chat with PDF for intelligent conversation based on PDF documents, and Chat with YouTube Videos for engaging with YouTube video content through natural language. Users can clone the repository, navigate to specific project directories, install dependencies, and follow project-specific instructions to set up and run the apps. Contributions are encouraged, and new app ideas or improvements can be submitted via pull requests.

Awesome AI is a curated list of artificial intelligence resources including courses, tools, apps, and open-source projects. It covers a wide range of topics such as machine learning, deep learning, natural language processing, robotics, conversational interfaces, data science, and more. The repository serves as a comprehensive guide for individuals interested in exploring the field of artificial intelligence and its applications across various domains.

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.

FinVeda is a dynamic financial literacy app that aims to solve the problem of low financial literacy rates in India by providing a platform for financial education. It features an AI chatbot, finance blogs, market trends analysis, SIP calculator, and finance quiz to help users learn finance with finesse. The app is free and open-source, licensed under the GNU General Public License v3.0. FinVeda was developed at IIT Jammu's Udyamitsav'24 Hackathon, where it won first place in the GenAI track and third place overall.

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.

Your go-to source for synthesized financial news.

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Interprets German banking news with two economic theories.

Automates DCF Analysis with internet-sourced data and summary table.

Friendly and informative crypto advisor.

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Expert in explaining financial crises in a clear, informative way.

Finance fact-checker with accuracy scoring, using sources like NerdWallet, Investopedia, BEA, and St. Louis Fed.

IT products and pricing, for IT professionals.

FactCheck Navigator GPT is designed for in-depth fact checking and analysis of written content and evaluation of its source. The approach is to iterate through predefined and well-prompted steps. If desired, the user can refine the process by providing input between these steps.

Open Source Guide for Everyone: First time contributors, maintainers, and the curious.

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source code: https://ai.posetmage.com/GPTs/Tool/Godot%204%20Ace/

Open Source Prompt: https://github.com/mleoca/Bash-Scripting-GPT

Generates accurate, timely news articles from open-source government data.

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Trusted source for senior living market research, data, and analytics. 35K communities, 9K operators in the USA.