Best AI tools for< Model Financial Data >

AccountingSolverAI is a free online AI accountant assistant application that helps users analyze and solve accounting problems from prompts, text, data docs, or images. Users can input their accounting problem data in text or documents with a question, and the AI tool will provide solutions. The application is powered by pmfm.ai and offers a pricing model of free for 5 messages, then $5 per 250 messages. AccountingSolverAI simplifies accounting tasks and provides quick solutions for users.

Datasaur is an advanced text and audio data labeling platform that offers customizable solutions for various industries such as LegalTech, Healthcare, Financial, Media, e-Commerce, and Government. It provides features like configurable annotation, quality control automation, and workforce management to enhance the efficiency of NLP and LLM projects. Datasaur prioritizes data security with military-grade practices and offers seamless integrations with AWS and other technologies. The platform aims to streamline the data labeling process, allowing engineers to focus on creating high-quality models.

Azoo is an AI-powered platform that offers a wide range of services in various categories such as logistics, animal, consumer commerce, real estate, law, and finance. It provides tools for data analysis, event management, and guides for users. The platform is designed to streamline processes, enhance decision-making, and improve efficiency in different industries. Azoo is developed by Cubig Corp., a company based in Seoul, South Korea, and aims to revolutionize the way businesses operate through innovative AI solutions.

Scienaptic Systems is an AI-powered Credit Decisioning Platform that revolutionizes the lending industry by automating credit underwriting processes, leveraging alternate data points, and offering self-learning models for instant credit decisions. The platform helps lenders identify creditworthy borrowers, streamline customer experience, and ensure fair lending practices through explainable AI models. Scienaptic's suite of AI-enabled technologies enables lenders to say 'Yes' to more borrowers at lower risk, providing a 360-degree risk assessment before approving applications. The platform integrates seamlessly with existing lending ecosystems, ensuring disruption-free deployment and better risk predictions through a single API call.

Kudra is an AI-powered data extraction tool that offers dedicated solutions for finance, human resources, logistics, legal, and more. It effortlessly extracts critical data fields, tables, relationships, and summaries from various documents, transforming unstructured data into actionable insights. Kudra provides customizable AI models, seamless integrations, and secure document processing while supporting over 20 languages. With features like custom workflows, model training, API integration, and workflow builder, Kudra aims to streamline document processing for businesses of all sizes.

Super AI is a generative AI tool designed as a copilot for data analysts. It is trained by top-tier product company experts and domain experts to provide unparalleled expertise in research, visualization, and data delivery. The tool goes beyond data processing by generating a comprehensive Business Decision Canvas tailored to specific challenges. Super AI offers guided insights, data modeling suggestions, and effortless integration with legacy BI systems. It is designed to convert business requirements into concrete objectives and is supported by a team of domain experts to mentor the AI. With applications in various industries, Super AI accelerates the process of finding business KPIs and generating data stories with expert intelligence.

Shakker AI is a premium AI tool that serves as a Stable Diffusion Model Hub. It offers advanced AI capabilities for users to analyze and process data efficiently. With its cutting-edge technology, Shakker AI provides accurate predictions and insights to support decision-making in various industries. The tool is designed to streamline complex data analysis tasks and enhance productivity. Users can leverage Shakker AI to gain a competitive edge and drive innovation in their businesses.

MarketGPT is an artificial intelligence model trained to predict stock movements based on news items. It evaluates the news and decides how the company stock is going to be affected by it. Users can access the model through the MarketGPT website or mobile app to get stock predictions and picks. The model's performance can be viewed for different time frames such as 1 week, 1 month, and 1 year. However, users are advised that investing in stocks and derivatives carries a risk of financial loss, and past performance is not a guarantee of future performance. MarketGPT is designed to assist users in making informed decisions in the stock market.

CHAI AI Platform is an AI tool designed for quant traders to build and implement AI algorithms for trading. The platform combines chat functionality with AI capabilities to enhance the trading experience. Based in Palo Alto, CA, CHAI Research Corp. developed the platform to empower traders with advanced AI technology for better decision-making and performance in the financial markets.

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.

Rerun is an SDK, time-series database, and visualizer for temporal and multimodal data. It is used in fields like robotics, spatial computing, 2D/3D simulation, and finance to verify, debug, and explain data. Rerun allows users to log data like tensors, point clouds, and text to create streams, visualize and interact with live and recorded streams, build layouts, customize visualizations, and extend data and UI functionalities. The application provides a composable data model, dynamic schemas, and custom views for enhanced data visualization and analysis.

BCT Digital is an AI-powered risk management suite provider that offers a range of products to help enterprises optimize their core Governance, Risk, and Compliance (GRC) processes. The rt360 suite leverages next-generation technologies, sophisticated AI/ML models, data-driven algorithms, and predictive analytics to assist organizations in managing various risks effectively. BCT Digital's solutions cater to the financial sector, providing tools for credit risk monitoring, early warning systems, model risk management, environmental, social, and governance (ESG) risk assessment, and more.

Arya.ai is an AI tool designed for Banks, Insurers, and Financial Services to deploy safe, responsible, and auditable AI applications. It offers a range of AI Apps, ML Observability Tools, and a Decisioning Platform. Arya.ai provides curated APIs, ML explainability, monitoring, and audit capabilities. The platform includes task-specific AI models for autonomous underwriting, claims processing, fraud monitoring, and more. Arya.ai aims to facilitate the rapid deployment and scaling of AI applications while ensuring institution-wide adoption of responsible AI practices.

CSV-GPT is an AI tool that allows users to analyze CSV files instantly using the powerful GPT4 model. It provides a user-friendly interface for a wide range of data analysis tasks, from calculating averages to finding correlations. The tool is designed to streamline the data analysis process and provide accurate insights quickly and efficiently. With CSV-GPT, users can make informed decisions based on data-driven analysis without the need for complex coding or manual calculations.

Eigen Technologies is an AI-powered data extraction platform designed for business users to automate the extraction of data from various documents. The platform offers solutions for intelligent document processing and automation, enabling users to streamline business processes, make informed decisions, and achieve significant efficiency gains. Eigen's platform is purpose-built to deliver real ROI by reducing manual processes, improving data accuracy, and accelerating decision-making across industries such as corporates, banks, financial services, insurance, law, and manufacturing. With features like generative insights, table extraction, pre-processing hub, and model governance, Eigen empowers users to automate data extraction workflows efficiently. The platform is known for its unmatched accuracy, speed, and capability, providing customers with a flexible and scalable solution that integrates seamlessly with existing systems.

Plat.AI is an automated predictive analytics software that offers model building solutions for various industries such as finance, insurance, and marketing. It provides a real-time decision-making engine that allows users to build and maintain AI models without any coding experience. The platform offers features like automated model building, data preprocessing tools, codeless modeling, and personalized approach to data analysis. Plat.AI aims to make predictive analytics easy and accessible for users of all experience levels, ensuring transparency, security, and compliance in decision-making processes.

Adept is an AI tool that aims to provide useful general intelligence by building a machine learning model that can interact with everything on your computer. It takes your goals in plain language and turns them into actions on the software you use every day. Adept's model, ACT-1, is designed and trained specifically for taking actions on computers in response to natural language commands. The application focuses on collaborating and creating with users at the center, enabling more informed decisions and giving users more time for the work they love.

Langdock is an all-in-one AI platform designed for companies, offering enterprise-ready solutions to roll out AI to all employees. It enables developers to build and deploy custom AI workflows, providing model-agnostic, privacy-first, scalable, and measurable features. The platform includes AI chat, use-case-specific assistants, AI workplace search, API integration, and agents for building and running AI workflows. Langdock is trusted by over 150 companies globally, with expert support assistants available for various functions like customer support, documentation drafting, IT help, sales enablement, and more. The platform is hosted in Europe and the US, ensuring security and compliance with data privacy regulations.

Algomist.io is a user-friendly AI system that works 100% on autopilot and gives you the best trading options in the market with our automated AI-driven trading model. No prior experience is required.

SambaNova Systems is an AI platform that revolutionizes AI workloads by offering an enterprise-grade full stack platform purpose-built for generative AI. It provides state-of-the-art AI and deep learning capabilities to help customers outcompete their peers. SambaNova delivers the only enterprise-grade full stack platform, from chips to models, designed for generative AI in the enterprise. The platform includes the SN40L Full Stack Platform with 1T+ parameter models, Composition of Experts, and Samba Apps. SambaNova also offers resources to accelerate AI journeys and solutions for various industries like financial services, healthcare, manufacturing, and more.

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

PIXIU is a project designed to support the development, fine-tuning, and evaluation of Large Language Models (LLMs) in the financial domain. It includes components like FinBen, a Financial Language Understanding and Prediction Evaluation Benchmark, FIT, a Financial Instruction Dataset, and FinMA, a Financial Large Language Model. The project provides open resources, multi-task and multi-modal financial data, and diverse financial tasks for training and evaluation. It aims to encourage open research and transparency in the financial NLP field.

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.

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.

Pathway's LLM (Large Language Model) Apps provide a platform to quickly deploy AI applications using the latest knowledge from data sources. The Python application examples in this repository are Docker-ready, exposing an HTTP API to the frontend. These apps utilize the Pathway framework for data synchronization, API serving, and low-latency data processing without the need for additional infrastructure dependencies. They connect to document data sources like S3, Google Drive, and Sharepoint, offering features like real-time data syncing, easy alert setup, scalability, monitoring, security, and unification of application logic.

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.

SambaNova AI Starter Kits is a collection of open-source examples and guides designed to facilitate the deployment of AI-driven use cases for developers and enterprises. The kits cover various categories such as Data Ingestion & Preparation, Model Development & Optimization, Intelligent Information Retrieval, and Advanced AI Capabilities. Users can obtain a free API key using SambaNova Cloud or deploy models using SambaStudio. Most examples are written in Python but can be applied to any programming language. The kits provide resources for tasks like text extraction, fine-tuning embeddings, prompt engineering, question-answering, image search, post-call analysis, and more.

The `vectara-agentic` Python library is designed for developing powerful AI assistants using Vectara and Agentic-RAG. It supports various agent types, includes pre-built tools for domains like finance and legal, and enables easy creation of custom AI assistants and agents. The library provides tools for summarizing text, rephrasing text, legal tasks like summarizing legal text and critiquing as a judge, financial tasks like analyzing balance sheets and income statements, and database tools for inspecting and querying databases. It also supports observability via LlamaIndex and Arize Phoenix integration.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

This repository is a collection of papers on Tabular Large Language Models (LLMs) specialized for processing tabular data. It includes surveys, models, and applications related to table understanding tasks such as Table Question Answering, Table-to-Text, Text-to-SQL, and more. The repository categorizes the papers based on key ideas and provides insights into the advancements in using LLMs for processing diverse tables and fulfilling various tabular tasks based on natural language instructions.

Phidata is a framework for building AI Assistants with memory, knowledge, and tools. It enables LLMs to have long-term conversations by storing chat history in a database, provides them with business context by storing information in a vector database, and enables them to take actions like pulling data from an API, sending emails, or querying a database. Memory and knowledge make LLMs smarter, while tools make them autonomous.

Deep Lake is a Database for AI powered by a storage format optimized for deep-learning applications. Deep Lake can be used for: 1. Storing data and vectors while building LLM applications 2. Managing datasets while training deep learning models Deep Lake simplifies the deployment of enterprise-grade LLM-based products by offering storage for all data types (embeddings, audio, text, videos, images, pdfs, annotations, etc.), querying and vector search, data streaming while training models at scale, data versioning and lineage, and integrations with popular tools such as LangChain, LlamaIndex, Weights & Biases, and many more. Deep Lake works with data of any size, it is serverless, and it enables you to store all of your data in your own cloud and in one place. Deep Lake is used by Intel, Bayer Radiology, Matterport, ZERO Systems, Red Cross, Yale, & Oxford.

Agentic is a standard AI functions/tools library optimized for TypeScript and LLM-based apps, compatible with major AI SDKs. It offers a set of thoroughly tested AI functions that can be used with favorite AI SDKs without writing glue code. The library includes various clients for services like Bing web search, calculator, Clearbit data resolution, Dexa podcast questions, and more. It also provides compound tools like SearchAndCrawl and supports multiple AI SDKs such as OpenAI, Vercel AI SDK, LangChain, LlamaIndex, Firebase Genkit, and Dexa Dexter. The goal is to create minimal clients with strongly-typed TypeScript DX, composable AIFunctions via AIFunctionSet, and compatibility with major TS AI SDKs.

AIlice is a fully autonomous, general-purpose AI agent that aims to create a standalone artificial intelligence assistant, similar to JARVIS, based on the open-source LLM. AIlice achieves this goal by building a "text computer" that uses a Large Language Model (LLM) as its core processor. Currently, AIlice demonstrates proficiency in a range of tasks, including thematic research, coding, system management, literature reviews, and complex hybrid tasks that go beyond these basic capabilities. AIlice has reached near-perfect performance in everyday tasks using GPT-4 and is making strides towards practical application with the latest open-source models. We will ultimately achieve self-evolution of AI agents. That is, AI agents will autonomously build their own feature expansions and new types of agents, unleashing LLM's knowledge and reasoning capabilities into the real world seamlessly.

This repository includes papers and blogs about Efficient Transformers, Length Extrapolation, Long Term Memory, Retrieval Augmented Generation(RAG), and Evaluation for Long Context Modeling.

This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.

Awesome GPT Prompt Engineering is a curated list of resources, tools, and shiny things for GPT prompt engineering. It includes roadmaps, guides, techniques, prompt collections, papers, books, communities, prompt generators, Auto-GPT related tools, prompt injection information, ChatGPT plug-ins, prompt engineering job offers, and AI links directories. The repository aims to provide a comprehensive guide for prompt engineering enthusiasts, covering various aspects of working with GPT models and improving communication with AI tools.

日本語LLMの包括的な概要です。400ワード未満で、改行や引用符はありません。

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Expert in financial modeling for valuation, budgeting, and forecasting.

Guides financial decisions by monitoring and enforcing policies and procedures.

GPT-4-based assistant that remembers and saves conversations

Excel wizard for finance pros

Your go-to quantum finance expert!

Multilingual support in Global Economics & Finance studies.

A financial expert building optimized macroeconomic models from a renowned book.

Salam mən Alas Academy-nin Data Analitika üzrə Süni İntellekt mentoruyam. Mənə istənilən sualı verə bilərsiniz :)

Friendly, professional data analysis expert.

Analyzes data to influence strategic decision-making processes.

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

Expert in CFA, quant, software engineering, data science, and economics for investment strategies.

Expert economist with access to real-time data.

清华大学级别的经济数学建模中文教师。

"My quantitative, my math specialist. Look at him, you notice anything different about him? Look at his face."