If you're looking for a NeuralPit alternative, DataChat is worth a look. The no-code generative AI platform lets you transform complex data into useful information without having to write programming code. It uses a spreadsheet-like interface and chat interface to make data analysis accessible to people with varying levels of technical expertise. You can upload data, ask questions, and get AI-powered answers, and the platform handles much of the behind-the-scenes work of preparing data and training models.
Another option is Airbook, a collaborative data workspace that lets people collaborate to analyze data and generate insights. It can connect to more than 150 data sources and supports a range of query methods, including SQL and Python. Airbook offers collaborative workspaces, visualization tools, query saving and reuse, and AI-generated SQL code. It's geared for teams that want to make more data-informed decisions across different business domains.
If you need a platform to automate tasks and business processes, Relevance AI is a powerful option. It uses no-code builders and Large Language Model prompts to formalize processes into workflows that can then run on their own. Integrations with tools like Zapier and Snowflake extend its reach, and it's good for sales, support, research and content creation, among other uses.
Last, Athena is an AI-native analytics platform for collaborative data analysis. It can run in co-pilot and auto-pilot modes, connecting to Enterprise Data Warehouses and offering chat-based interfaces for querying data and creating visualizations. Athena's workflow automation and customizable reports make it a good option for businesses that want to streamline their analytics and make more data-informed decisions.