ask-your-data
Four leases expire in the next 18 months, totaling 38,200 sq ft at a blended rent of $41.20/sq ft.
Source: leases.sql · Q2 export
Anyone on your team can ask plain-English questions of live business data and get an answer with the source attached — no SQL, no dashboard building, no BI backlog.
ask-your-data
Four leases expire in the next 18 months, totaling 38,200 sq ft at a blended rent of $41.20/sq ft.
Source: leases.sql · Q2 export
How It Works
No query language to learn and no report to request — the path from question to verified answer runs in one pass.
Type the question the way you'd ask a colleague.
"Which leases expire in the next 18 months, with current rent?"
Your question is translated into a query against your live database (SQL today), inside your environment.
The result comes back in plain language with its source attached, so you can verify it instead of trusting a black box.
If your question is ambiguous, Bayaan asks a quick clarification first — the same way a good analyst would — then proceeds.
Built For The People Who Need Answers
Every part of the experience is tuned for people who need a number to act on today, not a query to hand off.

Tuned to how each team asks and what "revenue," "occupancy," or "budget variance" means in that context.

A deal's or client's Q&A, files, and generated outputs stay together, with a per-project knowledge base.

Pick the model that fits the question: fast for simple lookups, deeper reasoning for real analysis.
From Answer To Artifact
Generate a deck section, a spreadsheet, or a report paragraph straight from the result — in your brand templates.
Continue to Generate Work →Governed End To End
Access is role-based, usage is visible to admins, and answers carry citations — so self-serve data access does not mean ungoverned data access.
Access
Role-basedENFORCEDUsage Log
Visible to adminsONAnswer
Citation attachedALWAYSSources Today
Live SQL databasesSources Next
CRM · ERP · documentsIt is the ability to ask questions of business data in plain English and receive a computed answer with sources attached. Instead of manually writing SQL or requesting a new dashboard, users ask directly in business language and get a verifiable result. This shortens answer cycles while preserving trust in the underlying data.
Every answer cites the source it was computed from, so users can validate results instead of accepting opaque output. Ambiguous questions can trigger clarification before execution, and team profiles help map terms consistently across finance and operations contexts. In practice, this improves both answer correctness and user confidence.
Live SQL databases are supported today, with query behavior tuned through finance and operations profiles. The broader roadmap is to support additional governed sources such as CRM, ERP, and document stores through the same interface. The key idea is one question layer with one governance posture across source systems.
It is built for non-technical teams who need accurate answers quickly, including asset managers, operations teams, finance users, and executives. Data teams also benefit because repetitive pull requests and ad-hoc dashboard asks are reduced. That allows analysts to focus on higher-value modeling and decision support work.
Yes. Bayaan for CRE uses this exact capability on commercial real estate datasets such as leases, occupancy, and portfolio performance metrics. The same Ask Your Data engine is reusable across other industries with domain-specific tuning. This keeps product behavior consistent while adapting language and workflows by vertical.
See it run against a real portfolio in your first fifteen minutes.
Book a demo