If you're looking for a platform to build AI-powered analytics into your products, Explo is a good option. Explo is an embedded analytics solution geared for product and engineering teams that want to build interactive dashboards and self-serve reporting directly into their apps. It includes features like customizable analytics experiences, styling configurators and enterprise-grade security. Explo can be used for a variety of use cases, including SaaS platforms, e-commerce and fintech, and can connect to data sources like Big Query, SQL Server, MySQL and PostgreSQL.
Another powerful option is Abacus.AI, which lets developers build and run applied AI agents and systems at scale. It offers a range of products and features, including generative AI, predictive modeling and personalization AI. The platform is designed to make AI easier to incorporate into apps, with support for automation of complex tasks, real-time forecasting and anomaly detection. Abacus.AI is good for businesses that want to improve customer service, optimize operations and forecast sales and revenue.
If you prefer a more collaborative approach to analytics, Athena offers an AI-native platform that speeds up analytics workflows with its co-pilot and auto-pilot modes. It also offers easy integration with Enterprise Data Warehouses, chat-based interfaces for querying data and workflow automation through natural language processing. Athena supports extensible workflows with SQL and Python, so it's good for businesses that want to improve analytics without manual workflows.