Sulie

Sulie is an advanced AI platform designed to instantly transform raw data into accurate, actionable predictions. Its core value proposition lies in eliminating the weeks of technical complexity typically associated with building and deploying machine learning models, allowing teams across an organization to access reliable forecasts on demand without requiring any specialized data science expertise. By leveraging a sophisticated foundation model, Sulie automates the entire predictive analytics pipeline, from data ingestion to insight generation, delivering instant, trustworthy results that drive smarter business decisions.

Key features: Sulie provides robust time series forecasting capabilities that automatically handle complex patterns like seasonality and trends. It supports the inclusion of covariates to improve prediction accuracy by accounting for external influencing factors. The platform offers enterprise-grade MLOps automation for seamless model deployment and management, along with zero-shot inference that allows the model to make predictions on new types of data without retraining. Users benefit from out-of-the-box predictions for common business scenarios, such as demand and supply forecasting, and can work with centralized datasets within a secure cloud infrastructure.

What sets Sulie apart from traditional AutoML or business intelligence tools is its use of a proprietary transformer-based foundation model specifically engineered for time series data. This architecture enables superior performance in zero-shot and few-shot learning scenarios, drastically reducing the time and data required to generate accurate forecasts compared to competitors that need extensive model tuning. The platform is built as a B2B SaaS solution with deep integrations potential for existing data stacks and software publishing workflows, offering a streamlined, code-optional experience that democratizes access to predictive power.

Ideal for software publishers, IT services companies, and enterprises in sectors like retail, logistics, and finance that need to predict demand, inventory, sales, or resource utilization. It serves business analysts, product managers, and operational teams who require reliable forecasts without delving into model development, as well as developers and data engineers looking to embed predictive analytics into their applications or automate reporting pipelines with minimal overhead.

Pricing starts with a free tier for basic exploration, while professional plans offering advanced features and higher usage limits begin at $26 per month. Enterprise subscriptions with custom capabilities and dedicated support are available for larger organizations requiring scalable, centralized predictive analytics solutions.