Bayaan · ask your portfolio
14 leases expire between now and Q4 2027, representing; 212,000 sq ft.
The largest is Meridian Logistics at Riverside Distribution Center, expiring March 2027 at $18.40/sq ft.
SOURCES
Lease Abstract DBRent RollRiverside
Live for enterprise teams
Ask your portfolio data anything.
Bayaan is a conversational analytics workspace for portfolio data (leases, occupancy, EBITDA, CapEx, and beyond). Plain English questions, cited answers, no SQL, no waiting on an analyst.
The problem it solves
Simple questions, slow answers
Portfolio and enterprise data lives in property management systems, databases, and finance platforms. Getting an answer usually means an analyst, a BI ticket, or a stale spreadsheet for questions that are, on their face, simple.
Bayaan puts those answers one question away for asset managers, finance teams, and executives, not just data teams.
Which leases expire in the next 18 months?
What's occupancy by asset?
How did CapEx track against budget?
- What you can ask
Four questions, zero SQL
Every answer cites its source. Finance and operations profiles tune the assistant to the way each team asks.
Occupancy
"Show occupancy by property for Q2, ranked."
Leases
"Which leases expire in the next 18 months, with current rent?"
EBITDA
"EBITDA by asset versus budget, year to date."
CapEx
"Total CapEx committed this year across the portfolio."
Product scene
Built for clear answers and governed workflows
One workspace connects cited answers, generation, projects, and admin controls in one clean experience.
FROM ANSWER TO DELIVERABLE
An answer doesn’t stop at chat
Turn it into an investor ready deck, a lender package, or a board report section generated in your brand templates, with version history. Same Bayaan platform underneath.
See how generation works →Ask a question in chat
Get a cited, structured answer
Generate deck, lender package, or board section
Proven with real portfolios
Running inside a real portfolio today
Active pilot
Teams use Bayaan for portfolio Q&A and document generation under full enterprise governance, from day one of the pilot.
A leading life sciences real estate firm
Role based access
Secure, granular access across teams.
Audit logs
Complete visibility with detailed audit trails.
Per project knowledge bases
Contextual answers from your specific project data.
Governed like the enterprise tool it is
Built for teams that can’t cut corners on data
Your environment, your data
Deploys inside your Microsoft Azure environment. Your data never leaves your control.
Role based access
Access is scoped by role, and every administrative change is logged for audit.
Cited, not guessed
Every answer references the underlying source lease file, rent roll, or budget line.
Frequently Asked Questions
What is Bayaan?
Bayaan is a conversational analytics workspace that helps teams ask natural language questions over live portfolio and enterprise data, receive cited answers, and generate finished documents from the same workflow.
For teams researching what is bayaan, the practical priority is a clear connection between business context, trusted data, and an actionable result. Bayaan brings that context into a governed enterprise AI workspace so users can move from a natural language question to a useful answer with less manual work.
This approach supports stronger search visibility for enterprise AI, conversational analytics, and secure business automation while keeping the workflow focused on reviewable outcomes. Organizations can apply role based access, source aware answers, and repeatable processes as adoption grows across departments.
Do I need to know SQL to use it?
No. Users ask in plain English and Bayaan translates requests into query logic over connected data, then returns cited results.
For teams researching do i need to know sql to use it, the practical priority is a clear connection between business context, trusted data, and an actionable result. Bayaan brings that context into a governed enterprise AI workspace so users can move from a natural language question to a useful answer with less manual work.
This approach supports stronger search visibility for enterprise AI, conversational analytics, and secure business automation while keeping the workflow focused on reviewable outcomes. Organizations can apply role based access, source aware answers, and repeatable processes as adoption grows across departments.
How is governance handled?
Deployments run in your Azure environment with role based access, audit logging, and source citations across workflows.
For teams researching how is governance handled, the practical priority is a clear connection between business context, trusted data, and an actionable result. Bayaan brings that context into a governed enterprise AI workspace so users can move from a natural language question to a useful answer with less manual work.
This approach supports stronger search visibility for enterprise AI, conversational analytics, and secure business automation while keeping the workflow focused on reviewable outcomes. Organizations can apply role based access, source aware answers, and repeatable processes as adoption grows across departments.
See it answer your portfolio.
Book a demo, or explore Bayaan platform capabilities.