SuperAPI AI Directory

AI finance

393 results · Page 7 of 11

FinGPT

AI finance

FinGPT is an open-source financial large language model project developed and maintained by the AI4Finance Foundation. The project aims to provide the financial sector with an open-source large language model solution that can be quickly fine-tuned at a lower cost, addressing the issues of highly dynamic financial data and the high training costs of traditional models. FinGPT emphasizes lightweight adaptation, supports fine-tuning at a lower cost using methods such as LoRA, and provides capabilities including financial sentiment analysis, financial forecasting, and instruction fine-tuning benchmark evaluation. The project has released trained models, datasets, and demo spaces on HuggingFace, where users can try FinGPT-Forecaster for stock price trend prediction. FinGPT adopts a five-layer full-stack framework, covering the data source, data engineering, large language model, task, and application layers.

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FxSocket

AI finance

FxSocket is a cloud hosting API service for MT4 and MT5 aimed at developers, providing a REST API and WebSocket interface. It helps developers run MetaTrader terminals in the cloud without needing their own VPS, local installation, or writing MQL code, enabling them to execute trades, read market data, and manage accounts through Python, Go, JavaScript, or any other language that supports HTTP. The service provides real-time bid and ask price streaming, order updates, historical candlestick data (OHLC, including tick volume and spread per bar), and account and trade history queries. On security, it supports full-permission trading keys and read-only keys, with end-to-end encrypted connections, and FxSocket does not touch user funds; funds are held by the broker to which the user connects. It is suitable for scenarios such as automated trading strategy deployment, cross-account copy mirroring, backtesting data retrieval, custom trading interface development, and risk control rule programming. Pricing offers shared and dedicated plans; specific prices and the number of included accounts must be checked on the official website purchase page.

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Glassbox

AI finance

Glassbox is a provider of a digital customer experience analytics platform, mainly for web and mobile apps, helping businesses in regulated industries (such as finance and retail) optimize digital customer experience (CX). Its platform uses AI-driven insights, 100% user session capture, and real-time alerts to help businesses identify conversion obstacles, reduce customer friction, and increase engagement while preventing fraud and ensuring compliance. Glassbox emphasizes balancing experience optimization with security and compliance, making it suitable for industries with high security requirements such as finance and retail. The platform provides features such as real-time session replay and automated compliance, and has been rated by G2 as a product with high satisfaction and ease of use. Cases show that SoFi prevented $9 million in potential revenue loss, Sainsbury's recovered $200,000 in revenue, and Marriott reduced support requests by 60%, among others. It should be noted that specific pricing, fees, platform details, and other information are not yet provided.

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GoAI

AI finance

GoAI is an investment research agent system composed of multiple specialized AI models working in coordination. It is not a single chatbot, but a coordinated team of AI analysts that helps users research stocks, generate in-depth research reports, analyze the market in real time, monitor holdings and watchlists, and automate research workflows. The platform focuses on institutional-grade real-time financial data, providing concrete insights such as valuations, catalysts, and risk signals rather than generic answers. Its agents cover areas including value opportunity screening, social sentiment monitoring, macro strategy tracking, technical analysis alerts, and daily market narratives. It can also remember user holdings, track watchlists, and proactively push insights before users ask. Users can initiate in-depth research on any company, industry, or macro theme at any time, obtaining fully cited reports with charts, data tables, and downloadable files, and can set up automatic delivery by day, week, or month. Currently, the information only explicitly mentions that the Pro plan includes automatic delivery functionality; specific pricing and full platform support details are not yet provided.

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Have Another Cherry

AI finance

Have Another Cherry is a shared expense app for couples, roommates, and anyone who lives together but keeps their finances separate. It helps users split expenses according to agreed-upon ratios and settle up without opening a joint account. Each expense stays on its own line and is never merged into a single total; once a split ratio is agreed upon it can be used long-term, and any single expense can be overridden separately. Records note the payment method (cash, card, or transfer), and recurring expenses can be recorded and split automatically. Apps for iPhone and Android are available, as well as a web version that requires no installation; the company says the features you need are free and no bank card is required.

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Hebbia

AI finance

Hebbia is a leading AI platform for the financial industry, used by the world's leading asset management firms, investment banks, law firms, and Fortune 500 companies. It is described as "institutional-grade intelligence," a trusted AI built specifically for investors, bankers, lawyers, consultants, and large enterprises. The platform is designed to put institutional knowledge to work, acting as a "top analyst" role, supporting collaboration across the entire deal team, and transforming individual AI work into company-wide productivity. It can bring documents and financial data together in one place, provide context for better decisions, and support managing an "unlimited workforce." The official website mentions that you can start building your own matrices. The platform emphasizes serving the world's most demanding institutions and has ISO/IEC 42001:2023 and ISO/IEC 27001:2022 certifications, with data encrypted at rest using AES 256 and in transit by TLS1.2+. The official website also displays metrics such as the assets under management of institutions using Hebbia, the average number of daily prompts, and the number of pages processed, as well as how the world's leading institutions use it in scenarios such as investment (public and private markets), banking (M&A, coverage, and capital markets), law (transaction advisory), and enterprise (internal finance and strategy teams). Information such as specific fees, pricing, and detailed usage steps is not currently provided in the materials.

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HiBob

AI finance

HiBob is a human resources management platform for modern businesses, with its core product Bob at the center, integrating HR, payroll, and finance processes to help organizations automate daily tasks, centrally manage employee data, and operate at scale. The platform covers foundational capabilities such as core HR system of record, intelligent workflows and approvals, e-signatures and document management, attendance tracking, and real-time people analytics, while extending into talent management areas such as recruiting and onboarding, performance reviews and calibration, AI-driven company surveys, personalized learning programs, and talent analytics. HiBob also provides compensation management, benefits management, pay cycle workflows, custom compensation bands, and AI compensation insights, and supports workforce planning, scenario modeling, and connecting financial strategy with talent strategy. Its official information shows that more than 5,500 companies and 1,230,200 users use Bob. The platform emphasizes that AI is based on the enterprise's trusted people data and can provide insights and recommended actions within the tools teams commonly use, helping reduce manual work, ask questions in natural language, and obtain actionable suggestions, so employees and managers can get answers and guided actions without waiting for HR. Official information also mentions that customers report an average ROI of 254%, with a payback period of less than 9 months.

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