Martus
Martus Solutions is a purpose-built budgeting, reporting, and forecasting platform for nonprofit organizations and small to mid-sized businesses (SMBs). Say goodbye to cumbersome spreadsheets and streamline your financial planning. Our easy-to-use solution offers collaborative budgeting and flexible reporting features that can help your team make informed, mission-driven decisions.
Martus empowers your team to budget efficiently, report seamlessly, and forecast with precision with access to real-time data, cashflow forecasting, personnel budgeting, and automated workflows.
Full implementation takes about three weeks, but most users can begin working within the first hour of the kickoff call. With seamless ERP integration and an intuitive interface, Martus delivers powerful financial insights to help your organization grow while staying mission-focused.
Join the more than 1,200+ organizations already benefiting from smarter financial management with Martus!
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SKU Science
SKU Science offers a quick and efficient solution for sales forecasting and performance tracking. Start your demand planning process in just two days! Designed by industry experts, it’s tailored for operations managers, S&OP managers, supply chain managers, and demand planners. Harness the power of 644 statistical combinations to create unique sales forecasts at any level. Customize your forecasting further with AI models trained on your specific dataset. Key performance indicators (KPIs) are automatically calculated and prioritized, ensuring your supply chain focuses on the most critical items for your business. Real-time operational dashboards update with every cycle, providing seamless activity tracking and enhanced decision-making. Thanks to its advanced features and user-friendly design, the platform is already trusted by numerous clients across industries such as manufacturing, food and beverage, healthcare, retail and e-commerce.
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Nixtla
Nixtla is a platform for time-series forecasting and anomaly detection built around its flagship model TimeGPT, described as the first generative AI foundation model for time-series data. It was trained on over 100 billion data points spanning domains such as retail, energy, finance, IoT, healthcare, weather, web traffic, and more, allowing it to make accurate zero-shot predictions across a wide variety of use cases. With just a few lines of code (e.g., via their Python SDK), users can supply historical data and immediately generate forecasts or detect anomalies, even for irregular or sparse time series, and without needing to build or train models from scratch. TimeGPT supports advanced features like handling exogenous variables (e.g., events, prices), forecasting multiple time-series at once, custom loss functions, cross-validation, prediction intervals, and model fine-tuning on bespoke datasets.
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