Scavenger AI is a conversational data‑analytics platform that connects to ERP, CRM, and SQL systems, automatically discovers schemas and understands business logic. It lets non‑technical users ask plain‑language questions and receive instant answers as charts, tables, or narrative summaries, while enforcing role‑based access controls for secure, self‑service analytics.
Funding
$1.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Companies often have data spread across multiple systems such as ERP, CRM, and SQL databases, making it difficult for non‑technical users to locate, combine, and interpret the information they need for timely decisions. Traditional BI dashboards require manual setup and expertise, leading to slow insight generation and reliance on a few data specialists.
Solution
Scavenger AI provides a conversational data‑analytics platform that connects to common enterprise data sources, understands table structures, relationships, and business logic, and returns answers in natural language. Users can ask questions in plain text and receive results instantly as charts, tables, or narrative summaries. The system enforces role‑based access controls to maintain data governance while allowing anyone in the organization to retrieve relevant metrics without writing queries. By automating the translation of business questions into analytics, Scavenger AI reduces the time and resources needed for data preparation and reporting.
Target Audience
Primary users are business analysts, finance and controlling teams, and production managers in mid‑size to large enterprises that need self‑service analytics without deep technical expertise.
Features
- Unified connectors for ERP, CRM, and SQL databases with automatic schema discovery
- Natural‑language query interface that generates visualizations, tables, or text responses on demand
- Real‑time answer generation in seconds, eliminating manual Excel‑based analysis
- Role‑based permissions and governance layer to ensure secure data access
- AI‑driven interpretation of table relationships and business logic for accurate results
- Exportable visualizations and data extracts for downstream reporting tools