A workspace where each analytical step is handled by a focused agent. Instead of one prompt doing everything, cleaning, profiling, analysis and visualization are separate, inspectable stages a user can steer in natural language.
Exploratory analysis is repetitive: load, inspect, clean, profile, chart, repeat. That loop consumes the majority of analytical time before any insight appears.
- —Up to 80% faster analytical workflows
- —Repetitive preparation work removed from the analyst's day
- —Consistent, reproducible exploratory output
Modular agents over one mega-prompt
Narrow agents are easier to evaluate, debug and improve independently, and their outputs can be validated between stages.
Deterministic where possible
Cleaning and profiling run as deterministic code; the model decides what to do, not how to compute it.
Human in the loop
Every automated decision is visible and reversible, so the analyst stays in control of the result.
Unpredictable input data
Type inference and defensive profiling handle messy real-world files without failing the session.
Chart relevance
Visualization selection is driven by column semantics and cardinality rather than model whim.
- →Agent systems get better as their scope gets narrower
- →Model output should be checked by code, not by hope