AskQL
Ask your data questions in plain English
Business teams waited days for analyst-built reports. Every ad-hoc question meant filing a ticket and waiting in the queue.
The client's data lived in PostgreSQL, but only a handful of analysts knew SQL. Sales managers, ops leads, and execs all depended on those analysts to pull numbers. Simple questions ('How did region X perform last month?') took 2-3 days. Complex questions took a week or never got answered.
Text-to-SQL Generation
LLM translates plain English questions into SQL queries against the actual schema. Includes validation to catch malformed queries before execution.
Anomaly Detection
Background jobs flag unusual patterns in key metrics—revenue drops, traffic spikes, inventory anomalies—and surface them without waiting for someone to ask.
Explanation Generation
Results come with plain-language summaries. Not just 'sales dropped 15%' but 'sales dropped 15%, driven primarily by a 40% decline in the Northeast region.'
Auto-Generated Dashboards
Frequently asked questions get converted into saved dashboards. The system learns which metrics each role cares about and pre-builds relevant views.
Questions answered in seconds instead of days.
Sales and ops teams query data directly without filing tickets.
Anomaly alerts catch issues before they show up in weekly reports.
Analyst time freed up for deeper analysis instead of routine pulls.
Schema changes handled automatically—queries update when tables change.
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