Maya AI

Maya AI is the research analyst for teams without a research analyst: an AI data analyst that connects to your business data — spreadsheets, databases, cloud warehouses — and answers questions in plain English with charts, summaries, and the analysis trail behind them. Ask 'why did churn spike in March' and it queries the underlying data, correlates the relevant tables, and returns an explanation with visualizations — the kind of question that historically waited weeks in a data team's backlog.

Our evaluation placed it in the growing text-to-SQL-plus-insight category, and it performed solidly at the mid-market center of gravity: natural-language querying that handles follow-up questions conversationally ('now break that down by region'), automatic chart selection that usually matches the data's shape, scheduled reports that monitor metrics and flag anomalies proactively, and integrations with the sources mid-market companies actually use — spreadsheets, Postgres, Snowflake, Google Analytics. The explanation layer matters most: Maya shows its reasoning path, so analysts can audit rather than trust.

Honest limits: ambiguous business questions sometimes get confidently literal answers — data literacy on the questioning side still matters; complex statistical analysis exceeds its depth; and data governance (who can query what) needs deliberate configuration before rolling out company-wide. Pricing is quote-based for teams, positioning it against hiring a junior analyst it partially replaces. For SMBs and departments whose data questions queue behind a two-person data team, Maya AI converts backlog questions into self-serve answers — with the caveats of its category.