ask-y.ai
ask-y.ai offers Prism, an AI-native analytics platform that connects to cloud data warehouses like Google BigQuery and Excel files to automate data preparation, analysis, and repeatable workflows without manual query writing. The platform features an Agent Skills Builder for creating shareable analytical processes and an intelligent memory engine that retains business context and logic across datasets. It targets analytics teams seeking consistent, accurate insights through reusable, community-proven workflows.
- Artificial Intelligence
- AI Agents
- Data & Analytics
- Enterprise Software
- Software Only
Funding
Founders
Product
Problem
Analytics teams spend significant time writing manual SQL queries, cleaning and normalizing data, and repeating the same analytical workflows across different datasets. This process is error-prone, inconsistent, and fails to preserve business context and logic, leading to unreliable results and slow decision-making.
Solution
Prism, by ask-y.ai, connects directly to cloud data warehouses such as Google BigQuery and to Excel files to automate analytics, explore data, and create repeatable workflows without manual query writing. The platform uses context-aware processing with intelligent memory to store and retrieve analytical context, data relationships, and business logic, ensuring consistent and accurate results. Users can build reusable "Skills" that capture their workflows and business definitions, which can then be applied to new datasets or shared with teams. Prism also includes a Digital Analytics Engine pre-trained on real analytics workflows and industry-standard methodologies, enabling exploratory data analysis, data validation, and advanced spreadsheet operations through AI agents.
Target Audience
Primary users are data analysts, analytics engineers, and business intelligence teams who work with cloud data warehouses or Excel files and need to automate data preparation, analysis, and reporting workflows.
Features
- Agent Skills Builder that lets users create, reuse, and share analytical processes while mapping business definitions to technical definitions
- Intelligent Memory and Context Engine that stores and retrieves analytical context, data relationships, and business logic for consistent execution
- Digital Analytics Engine pre-trained on real analytics workflows, common data problems, and industry-standard methodological approaches
- Capabilities to parse naming conventions, combine data across spreadsheets, clean and normalize values, and perform SQL-based advanced spreadsheet operations
- Community platform for sharing workflows and downloading community-proven skills
- Context-aware processing that controls the context of each prompt and analysis, remembering business context for analytical operations