If you're looking for a system that uses AI to process data and predict business outcomes, Abacus.AI could be a good choice. The platform lets developers create and run applied AI agents and systems at scale, employing generative AI and neural network technology. It offers a variety of products and features, including predictive modeling, anomaly detection and forecasting, that can automate complex tasks and provide real-time insights.
Another contender is Athena, an AI-native analytics system designed to speed up analytics workflows. It can work in co-pilot and auto-pilot modes, learning workflows and taking actions on its own. Athena is good for collaborative data analysis, with features like SQL and Python integration, customizable reports and causal AI models for balanced decision-making.
If you prefer a no-code option, DataChat could be a good option. It converts complex data into useful information through chat and spreadsheet interfaces, so you don't need programming skills. DataChat automates data preparation, exploration and modeling, making it good for data scientists, analysts and business users who need to make quick and confident decisions.
Last, Infer is a predictive AI-powered system that connects to other data sources to improve key performance indicators. It offers tools like lead scoring, customer retention and demand forecasting, and can connect to big data connectors like Snowflake, Google and Salesforce. The system is good for improving operations and reducing costs.