For D2C & marketplace brands in the UAE

Your CS team and your copywriters,
on every frontier model —
with customer names, addresses and payment details masked first.

Customer replies, promo copy, returns and dispute drafts, product listings — on GPT, Claude and Gemini through one governed workspace. Customer names, addresses, phone numbers, emails and payment details 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 data-breach headline, no six-month procurement.

Email signup, two minutes, no card required. When a marketplace partner asks how customer data was handled, you have the answer ready.

A CS agent's prompt — as the model receives it

"Customer [PERSON] ([EMAIL], [PHONE]) says the parcel delivered to [ADDRESS] arrived damaged; refund to [CARD] hasn't landed. Draft a reply + an Arabic version…"
▼ masked outbound · restored for you on return · recorded in your workspace's audit chain ▼
"Draft: warm, owns the courier delay, refund in 48h, exchange offered, escalation path noted…"

Your customer-data record, per query

who asked · when · which model · what was masked — hash-chained, tamper-evident

What brand owners ask. Answered.

The five objections we hear in every e-commerce conversation — in the order they come.

"Half my tickets arrive in Arabic. Can CS reply in Arabic — and does masking cover Arabic too?"

Yes to both. Your agents draft Arabic and English replies with the same models your ops team already wants, and PII masking ships for English and Arabic: names, addresses, phones, emails and payment details become inert tokens before any provider sees the prompt — whichever language the customer wrote in.

"I want promo copy built from our order history. Will customer data leak into the model?"

No. Paste the export as-is — customer names, delivery addresses, contact details and payment references are tokenized before the call, so the model works on purchase patterns and product mix, never on who bought what. What reaches the provider is anonymized text; your real data stays in your workspace.

"Returns disputes and chargeback drafts — can AI write those without touching the customer's card details?"

Yes. Drop the ticket, the courier thread and the payment reference into a prompt; the identifiers come back masked, the model drafts the dispute response or return approval, and the real values are restored only in your workspace. It fails closed: if masking can't run, the request stops rather than slipping through.

"What does it cost us? We're not signing a platform contract for chatbots."

$5 trial credits on signup — no card, no sales call, no PoC paperwork. After that, pay-as-you-go ($1 = 100 credits, no expiry); brands with daily CS and copywriting usage typically land between $50 and $200 a month. Light models for routine tickets, frontier models for campaign work — per-model cost is visible.

"My marketplace partner can ask me how customer data is handled. What do I show them?"

The audit trail: every query recorded — who asked, when, which model, what was masked — in a hash-chained log where each entry locks the previous one. Tamper-evident by construction. Protecting shopper data on your channel is your obligation to answer for; this is the record you answer with, per org and fully isolated from every other workspace.

How a prompt travels

Four stages, every message. This is the whole mechanism.

Mask

Customer identifiers become inert tokens before anything is sent. English and Arabic covered; prompts that can't be masked are stopped, not slipped through.

Answer

Any model in the catalog — GPT, Claude, Gemini and more — answers the anonymized prompt. Cheapest model that does the job, per task.

Deliberate

Optional council mode for the hard ones — policy drafts, incident reviews: several models answer, review each other anonymously, a chairman synthesizes.

Restore & record

Tokens return to real values for your eyes only, and the event is appended to your workspace's audit chain.

Priced like a utility,
not a platform contract.

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.

  • $5 trial credits on signup. No card, no sales call, no PoC paperwork.
  • Light models for tickets, frontier models for campaign work. Per-model cost is visible — your CFO can read the bill.
  • When a marketplace partner demands the audit story, you already have it.

$0 to start.

Trial grant$5 credits
Minimum top-up$5
Typical active team$50–200/mo
ContractNone
Create your workspace

Your team is already pasting customer data into ChatGPT.

Give them the version where it's masked, metered and on the record — before a marketplace partner's data audit finds the other version first.

Start free — $5 credits, no card