Responsible AI

DataGenie combines deterministic analytics with carefully scoped LLM use. No raw data ever reaches a language model, no algorithm hallucinates an answer, and every insight is traceable to the data that produced it.

Conversational analytics products built on top of raw text-to-SQL invite two problems at once: your data leaves your boundary, and the model can invent plausible-looking answers. DataGenie is designed from the ground up to avoid both.

Three guarantees

Zero raw data to LLMs

Language models only see aggregated KPIs and dimension values — never row-level data. Your raw records stay in your environment.

Deterministic algorithms

Anomaly detection, root-cause attribution, forecasting, and scenario planning run on proven statistical and ML algorithms — not generative models.

Human-in-loop by design

Wisdom plans an execution path, runs it through deterministic services, and presents the result for you to review. You validate; DataGenie doesn't guess.

How Wisdom stays safe

Wisdom is an agentic system that understands business questions and orchestrates deterministic services to answer them. It is not text-to-SQL. It does not invent numbers.

Question interpretation

Wisdom parses your question using an LLM — but with only metadata (KPI names, dimension names, domain knowledge) in scope. No raw data.

Execution plan

A master coordinator agent selects which deterministic services to call — Metric, Insights, Contribution Analysis, Forecasting, or Scenario Planning — and in what order. The plan branches based on intermediate results.

Deterministic computation

Every number comes from a deterministic service running on your data. The LLM sees aggregated outputs, never rows.

Natural-language consolidation

The LLM summarizes the computed results in plain language — grounded in the numbers it just received, not in guesswork.

The guardrails you configure

Every Wisdom-enabled dataset has three configuration surfaces that act as safety gates. None are optional for enterprise deployments.

Domain Knowledge

Natural-language rules that encode your business logic. Wisdom answers within these rules — it doesn't invent them.

Wisdom Skills

Packaged, reusable analytical pipelines defined in plain language. Each Skill runs as a deterministic pipeline.

Business Events

A documented timeline of real-world context. Wisdom connects observed patterns to recorded causes — not invented correlations.

Why this matters

Analytics products that send raw rows to a language model face two risks at once: data governance exposure, and answers that can confidently misstate the numbers. DataGenie's aggregate-only, deterministic-core architecture avoids both by design.

For enterprise buyers, this is the difference between experimenting with AI analytics and deploying it to production. Teams at regulated, data-sensitive companies have run DataGenie in production because the safety properties are structural — not a policy document.