Perceptric AI
Perceptric AI is an AI-powered data visualization and preparation platform that lets users connect databases and generate charts, dashboards, and insights using natural language—no SQL or coding knowledge required. It supports major systems like Snowflake, Databricks, BigQuery, and Microsoft Fabric, and includes AI-assisted data transformation and reusable semantic model building. The platform executes queries directly against the user's own database, ensuring data is never stored on Perceptric's servers.
- Data & Analytics
- Artificial Intelligence
- Enterprise Software
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Business users often lack the SQL or coding skills needed to query databases directly, forcing them to rely on data engineers for even basic analytics tasks. Traditional BI tools like Power BI and Tableau require extensive drag-and-drop setup and data model configuration, creating friction between asking a question and getting an answer.
Solution
Perceptric AI is a web-based platform that connects to a user's database and lets them explore, prepare, and visualize data using plain English. The AI automatically writes and runs SQL queries, rendering results as interactive charts or dashboards without requiring the user to write code. The platform includes a Prepare Data feature that cleans, filters, and reshapes data through natural language instructions, with live previews and undo functionality for every transformation step. A semantic model builder lets users define reusable SQL-based data models with AI assistance, eliminating repetitive join-writing across charts. All queries execute directly against the customer's own database, and results are never stored on Perceptric's servers or used to train AI models.
Target Audience
Primary users are data analysts, business intelligence professionals, and non-technical business stakeholders who need self-service analytics without writing SQL. The platform also serves data engineering teams seeking AI assistance with data preparation and semantic model authoring.
Features
- Natural language querying: type a question and the AI generates, runs, and visualizes the SQL automatically
- AI data preparation: clean, filter, reshape, and transform data with plain English instructions, including live previews and full undo/redo across sessions
- Semantic model builder: define reusable SQL data models with AI assistance—similar to Power BI semantic models or dbt models—usable across charts and dashboards
- Broad database support: connects to Databricks, Snowflake, PostgreSQL, MySQL, SQL Server, BigQuery, Microsoft Fabric, plus CSV, Excel, and TXT files
- Fabric Engineer: creates notebooks, manages lakehouses, builds pipelines, and runs Spark jobs via natural language using the Microsoft Fabric REST API
- Secure architecture: all queries run directly against the customer's database; results are never stored on company servers and each account is fully isolated