Best AI tools for< Model Financials >

Slidebean is an all-in-one pitch deck software that helps startups create professional and visually appealing pitch decks to raise funds from investors. It offers a range of features including an AI-powered pitch deck builder, collaboration tools, automated design, and analytics. Slidebean also provides pitch deck services where a team of experts helps founders with writing, design, financial modeling, and go-to-market strategy.

Opesway is an AI-powered financial planning platform that offers a comprehensive solution to help users achieve financial freedom and manage their wealth effectively. The platform provides tools for retirement planning, investment assessment, budget management, debt analysis, and various forecasting tools. Opesway uses AI technology to simplify financial management, make budgeting and investment decisions, and provide personalized insights. Users can connect to financial institutions, import spending data, customize budgets, forecast retirement, and compare financial plans. The platform also features a personalized AI chatbot powered by OpenAI's ChatGPT model.

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.

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.

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.

FINQ is an AI-driven platform designed to help users build dynamic investment portfolios, follow model portfolios, and optimize investments effortlessly. The platform offers AI-based stocks portfolios with three distinct strategies to outperform the S&P. FINQ assesses financial product risk daily using a data-driven approach and provides users with 100% objectivity by eliminating biases. The AI engine monitors the market 24/7, ensuring users are aware of investment opportunities and offers risk-guided investing to match products with comfort levels.

IdeaBuddy is an innovative business planning software powered by AI that helps entrepreneurs, startups, and business organizations turn their great ideas into successful ventures. With IdeaBuddy, you can develop, test, and launch your business idea, all in one place. Whether you are starting from scratch, looking for funding, or wanting to expand, IdeaBuddy meets you where you're at.

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.

Slicker is an AI-powered tool designed to recover failed subscription payments and maximize subscription revenue for businesses. It uses a proprietary AI engine to process each failing payment individually, converting past due invoices into revenue. With features like payment recovery on auto-pilot, state-of-the-art machine learning model, lightning-fast setup, in-depth payment analytics, and enterprise-grade security, Slicker offers a comprehensive solution to reduce churn and boost revenue. The tool is fully transparent, allowing users to inspect and review every action taken by the AI engine. Slicker seamlessly integrates with popular billing and payment platforms, making it easy to implement and start seeing results quickly.

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.

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.

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.

STRATxAI is an AI-powered quantitative investment platform that offers custom AI model portfolios tailored to clients' investment philosophy, risk tolerance, and objectives. The platform harnesses machine learning to deliver data-driven insights for security analysis, portfolio construction, and management. Powered by the proprietary investment engine Alana, STRATxAI processes over 8 billion financial data points daily to uncover hidden alpha beyond traditional methods. Clients benefit from smarter decision-making, better risk-adjusted returns, optimized portfolio management, and savings on resources. The platform is designed to enhance investment decisions for forward-thinking investors by leveraging AI technology.

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.

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.

Dili is an AI Diligence Platform designed to automate diligence processes for various industries such as Real Estate, Private Equity, Tax Credit, and Venture Capital. It offers features like extracting data instantly, supporting various document types, flagging transaction issues, intelligent document search, and risk assessments. Dili provides advantages such as reliable insights, confidence scores for answers, error detection, custom workflows, and domain-specific tuning. However, it may have limitations in handling complex math tasks, limited model training on user data, and potential use case restrictions.

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.

Swarms provides simple, reliable, and agile tools to create your own Swarm tailored to your specific needs. Currently, Swarms is being used in production by RBC, John Deere, and many AI startups.

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.

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.

Langroid is a Python framework that makes it easy to build LLM-powered applications. It uses a multi-agent paradigm inspired by the Actor Framework, where you set up Agents, equip them with optional components (LLM, vector-store and tools/functions), assign them tasks, and have them collaboratively solve a problem by exchanging messages. Langroid is a fresh take on LLM app-development, where considerable thought has gone into simplifying the developer experience; it does not use Langchain.

CIA is a powerful open-source tool designed for data analysis and visualization. It provides a user-friendly interface for processing large datasets and generating insightful reports. With CIA, users can easily explore data, perform statistical analysis, and create interactive visualizations to communicate findings effectively. Whether you are a data scientist, analyst, or researcher, CIA offers a comprehensive set of features to streamline your data analysis workflow and uncover valuable insights.

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。

AI Financial Agent is a proof of concept project exploring the use of AI for investment research. It provides an AI SDK with a unified API for generating text and structured objects, along with access to real-time and historical stock market data optimized for AI financial agents. The project includes features like dynamic chat interfaces, support for multiple model providers, and styling with Tailwind CSS. Users can deploy their own version of the AI Financial Agent using Vercel and GitHub integration.

LLMs4TS is a repository focused on the application of cutting-edge AI technologies for time-series analysis. It covers advanced topics such as self-supervised learning, Graph Neural Networks for Time Series, Large Language Models for Time Series, Diffusion models, Mixture-of-Experts architectures, and Mamba models. The resources in this repository span various domains like healthcare, finance, and traffic, offering tutorials, courses, and workshops from prestigious conferences. Whether you're a professional, data scientist, or researcher, the tools and techniques in this repository can enhance your time-series data analysis capabilities.

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.

LABO is a time series forecasting and analysis framework that integrates pre-trained and fine-tuned LLMs with multi-domain agent-based systems. It allows users to create and tune agents easily for various scenarios, such as stock market trend prediction and web public opinion analysis. LABO requires a specific runtime environment setup, including system requirements, Python environment, dependency installations, and configurations. Users can fine-tune their own models using LABO's Low-Rank Adaptation (LoRA) for computational efficiency and continuous model updates. Additionally, LABO provides a Python library for building model training pipelines and customizing agents for specific tasks.

A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.

This repository is an updating survey for Continual Learning of Large Language Models (CL-LLMs), providing a comprehensive overview of various aspects related to the continual learning of large language models. It covers topics such as continual pre-training, domain-adaptive pre-training, continual fine-tuning, model refinement, model alignment, multimodal LLMs, and miscellaneous aspects. The survey includes a collection of relevant papers, each focusing on different areas within the field of continual learning of large language models.

A collection of papers related to knowledge distillation of large language models (LLMs). The repository focuses on techniques to transfer advanced capabilities from proprietary LLMs to smaller models, compress open-source LLMs, and refine their performance. It covers various aspects of knowledge distillation, including algorithms, skill distillation, verticalization distillation in fields like law, medical & healthcare, finance, science, and miscellaneous domains. The repository provides a comprehensive overview of the research in the area of knowledge distillation of LLMs.

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.

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.

Expert in financial mathematics, providing detailed explanations and guidance.

Conversational Actuary, blending examples with technical expertise.

Expert AI for financial & startup document creation

Get an objective valuation of your startup.

Sarcastic Silicon Valley investor AI, roasting and improving startup pitches with puns.

是一个专门用于建立数学模型并撰写python代码的gpt.

Analyzes earnings reports using Warren Buffett's investment model.

Apply gold-standard startup valuation and assessment methods to identify risks and gaps in your business model and product ideas.

中文数学建模辅助专家，提供策略和专业术语解答，帮助你完美写出一篇数模论文

Guides on ERC-20 token creation

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

Guides financial decisions by monitoring and enforcing policies and procedures.

Expert in undergraduate financial math, using multiple in-depth trainings.

一个高级财务及估值分析师，对上市公司财报分步、系统的分析，并输出专业的分析报告

GPT-4-based assistant that remembers and saves conversations

Excel wizard for finance pros

Specialist in corporate finance, offering strategic insights and best practices.

A guide for students exploring finance careers.

Multilingual support in Global Economics & Finance studies.

Conversational advisor for VC memos