For UAE fintechs & payment-adjacent startups

Ship AI at startup speed.
Customer data masked
before every model call.

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 support lead's prompt — as the model receives it

"Customer [PERSON] ([EMAIL], [PHONE]) of [ORG] reports a failed payout to a [ADDRESS] beneficiary. Draft an apology + next steps…"
▼ masked outbound · restored for you on return · recorded in your workspace's audit chain ▼
"Draft: empathetic, owns the delay, sets a 24h expectation, offers escalation path…"

Your compliance record, per query

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

What founders and B2B buyers ask. Answered.

The three objections we hear in every fintech conversation — in the order they come.

"Does customer PII really never reach the model provider?"

Names, organisations, addresses, phone numbers and emails — English and Arabic — are replaced with inert tokens before the call; the model answers the anonymized text and your private copy is restored in your workspace. 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.

"My enterprise client's security questionnaire asks for this. What do I attach?"

The hash-chained audit trail: who queried what, when, through which model, with every masked element recorded. Each entry locks the previous one — tamper-evident by construction. You answer the questionnaire with evidence while keeping your team moving.

"We have no security team and eleven engineers. Setup cost?"

An afternoon. Email signup creates the workspace; the admin console invites your team and sets model access per person. Runs on Cloudflare's regional edge serving the UAE — nothing to install, nothing to babysit, pay-as-you-go from $5.

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 policy work. Per-model cost is visible — your CFO can read the bill.
  • When enterprise deals demand 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 your biggest client's security review finds the other version first.

Start free — $5 credits, no card