For UAE property managers, brokerages & leasing teams
Support replies, compliance memos, product copy, incident summaries — on GPT, Claude and Gemini through one governed workspace. Customer names, organisations, addresses, phone numbers and emails are stripped before the prompt reaches any provider, in English and Arabic, with a tamper-evident audit record behind every query. Your team is live today — no security review, no six-month procurement.
Email signup, two minutes, no card required. When your enterprise client asks for the audit log, you have one.
A leasing admin's prompt — as the model receives it
Your compliance record, per query
The five questions we hear in every property-management conversation — in the order they come.
"Our leasing admins already paste tenant data into ChatGPT. Stop them?"
Don't stop the AI — replace the channel. Emirates IDs, tenancy contract details, cheque scans, Ejari and DEWA references, names and phone numbers are replaced with inert tokens before the prompt reaches GPT, Claude, Gemini or any of the 300+ models behind the gateway. It fails closed: if masking can't run, the request stops. Detection is probabilistic (like every vendor's) — which is why every query also lands in an audit record.
"Tenant correspondence is English and Arabic. Does masking ship with it?"
Yes — English and Arabic PII is masked before any model sees the text, so bilingual renewal letters, service-charge replies and maintenance notices go out without tenant identifiers ever leaving your workspace in the clear. The model answers the anonymized text; your private copy is restored on return.
"RERA and DLD rules on tenant data — are you claiming to cover that?"
No. How your firm handles tenant personal data is your obligation, and we make no compliance claims on your behalf. What we hand you is the record you answer with: per-query logs of who asked, when, which model, and exactly what was masked.
"Can I prove who shared which tenant data, and when?"
That's the audit log's whole job. Every query appends to a hash-chained, tamper-evident record — who asked, what was masked, which model answered. When a dispute or an owner's audit lands on your desk, you export the chain instead of reconstructing it from memory.
"Multi-building portfolio, separate owner entities. Do they see each other's data?"
No. Workspaces are isolated per organisation — your tenants' Emirates IDs, units, payments and documents stay in that organisation's workspace, with its own model access and its own audit chain. Owners and buildings never share a prompt history.
Four stages, every message. This is the whole mechanism.
Customer identifiers become inert tokens before anything is sent. English and Arabic covered; prompts that can't be masked are stopped, not slipped through.
Any model in the catalog — GPT, Claude, Gemini and more — answers the anonymized prompt. Cheapest model that does the job, per task.
Optional council mode for the hard ones — policy drafts, incident reviews: several models answer, review each other anonymously, a chairman synthesizes.
Tokens return to real values for your eyes only, and the event is appended to your workspace's audit chain.
Pay-as-you-go credits — $1 = 100 credits, no expiry. A 10–25-person team with daily AI habits typically lands between $50 and $200 a month.
$0 to start.
Give them the version where it's masked, metered and on the record — before your biggest client's security review finds the other version first.
Start free — $5 credits, no card