Lumi AI
Lumi AI is an enterprise analytics platform that enables users to explore data and extract custom insights through natural language queries, eliminating the need for SQL or Python expertise. It offers self-service analytics, conversational analytics, customizable visualizations, knowledge management, seamless integrations, and robust security features. Lumi AI supports diverse teams, including data analysis, supply chain management, procurement, sales, merchandising, and financial planning, by providing actionable insights tailored to unique business terms and metrics. Its agentic workflows address simple to complex queries, uncover root causes, and facilitate complex analyses, all while interpreting business-specific language. Lumi AI integrates effortlessly with various data sources, ensuring enterprise-grade security by processing data within the client's network and offering advanced user permissions and query controls.
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FinanceIQ
FinanceIQ is a financial analytics platform designed to transform NetSuite data into real-time dashboards, reports, and actionable insights. The platform connects directly to Oracle NetSuite to provide live financial data without the need for spreadsheets or manual exports. Users can monitor key metrics such as revenue, profitability, and cash flow through interactive dashboards. FinanceIQ also supports automated financial reporting, allowing teams to generate board-ready reports with charts, commentary, and insights in minutes. The system includes tools for rolling forecasts, variance analysis, and scenario planning to support strategic financial decision-making. Its AI-powered assistant, Finley, analyzes financial data and answers complex questions using natural language queries. By combining automation and AI insights, FinanceIQ helps finance teams make faster, data-driven decisions.
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Megaladata
Megaladata is the fastest low-code platform for advanced analytics, enabling business users to design and run end-to-end data workflows—ù, from ETL to ML, without coding or IT support. With visual design tools and ready-made components, it simplifies data integration, cleansing, and deep analysis. The platform supports both self-service and enterprise-grade systems, handling big data with high performance. IT has integrations with more then 50 of the main databases' software and online datasets, other then native compatibility with Micrsoft ecosystem and Python. Available as a desktop, server, or cloud solution, Megaladata is used across industries like banking, retail, logistics, and healthcare. Free, interactive training online courses help users solve real business problems efficiently.
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QuantRocket
QuantRocket is a Python-based platform for researching, backtesting, and trading quantitative strategies. It provides a JupyterLab environment, offers a suite of data integrations, and supports multiple backtesters: Zipline, the open-source backtester that originally powered Quantopian; Alphalens, an alpha factor analysis library; Moonshot, a vectorized backtester based on pandas; and MoonshotML, a walk-forward machine learning backtester. Built on Docker, QuantRocket can be deployed locally or to the cloud and has an open architecture that is flexible and extensible.
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