Alumia

Alumia connects to your business data sources and deploys analytical agents that handle the recurring analysis and reporting work that currently sits in a queue behind analyst capacity constraints. The agents access databases, data warehouses, business intelligence tools, and operational systems to retrieve, process, and synthesize data in response to questions or on a scheduled basis, producing sourced, explained answers rather than raw data that still requires interpretation. Ask a question in natural language and receive an answer with the supporting data and reasoning that produced it. Schedule a recurring report and receive a formatted output without anyone touching a spreadsheet or building a query.

The analysis layer handles aggregation, comparison, trend identification, and anomaly detection across the connected data sources, providing the interpretive work that currently requires analyst time for each reporting cycle. For operations, finance, and growth teams where data-driven decision making is a priority but analyst capacity limits how many questions can be answered each week, Alumia expands the effective analytical capacity of the team without proportional headcount increases. Data source integrations cover common business intelligence platforms, SQL databases, cloud data warehouses, and operational databases, with the connection layer handling authentication and query execution. Reports and answers are formatted for the audience, executive summaries for leadership, detailed breakdowns for operational teams, with methodology transparency that allows recipients to trust and verify the outputs.