Arabic-first AI agents

An AI agent that knows your business and speaks your customers’ Arabic.

Gental agents answer from your own documents and website, show the source behind every answer, and step aside for your team when they don’t know. Publish on your website today, and on WhatsApp soon.

  • Early access
  • Hosted in Saudi Arabia
  • Arabic and English

Example conversation (transcript)

Visitor: Can I return an order after two weeks? And how long does the refund take?

Agent: Yes. You can return an order within 14 days of delivery, as long as the item is unused and in its original packaging. Refunds go back to your original payment method within 5 to 7 business days after we inspect the return.

Visitor: Can you change the delivery address on an order that has already shipped?

Agent: That isn’t covered in the documents I have, so I won’t guess. Someone from the team can help. Share your order number and the team will follow up.

Why most chatbots disappoint

Customers forgive a slow answer. Not a wrong one.

Generic bots guess, stumble over Arabic, trap people in loops and bill in ways nobody can plan for. Gental is built around the opposite habits.

  1. The usual problem: Confident answers that are simply wrong

    With Gental: Grounded, or honest that it doesn’t know

    Answers come only from the knowledge you add, with a citation for each claim. When nothing relevant is found, the agent says so instead of improvising.

  2. The usual problem: Arabic treated as a translation

    With Gental: Arabic-native from the first line

    Replies in the visitor’s language, handles dialects and Arabic-English mixing, renders right-to-left properly and searches Arabic text the way people actually spell it.

  3. The usual problem: No way out to a person

    With Gental: Knows when to hand over

    Questions outside your documents, and the escalation triggers you define, end with a clear suggestion to reach your team.

  4. The usual problem: Costs you can’t predict

    With Gental: Usage you can see, per agent

    Every model call is recorded with the provider’s own token counts and priced at list price, by agent and by task.

How it works

From your documents to a live agent in four calm steps

No code, no prompt engineering. Each step has sensible defaults you can refine.

  1. Step 1

    Add your knowledge

    Upload files or point Gental at your website. Everything lives in one library, processed once and shared by as many agents as you like.

    • PDF, Word, Markdown and text files up to 25 MB
    • Website crawl or sitemap, up to 500 pages, re-synced daily or weekly
    • One shared library: attach a source to several agents
  2. Step 2

    Give it a persona

    Start from a template and make it yours: mission, tone, do’s and don’ts, step-by-step playbooks and escalation triggers. Or describe the role and let the AI persona builder draft it.

    • Templates for customer service, sales, support, receptionist, HR, e-commerce and more
    • Safety profiles for legal, medical and financial topics add rules that can’t be switched off
    • Every persona in Arabic and English
  3. Step 3

    Test it before customers do

    Write test scenarios, or start from the template’s, and run them against your agent. Each answer is checked and graded, so you see a pass rate and what to fix.

    • Scenarios for answers, handoffs, off-topic and safety questions
    • Automatic checks plus an AI reviewer with suggestions
    • A playground that always runs your latest draft
  4. Step 4

    Publish where your customers are

    Publishing freezes a version, so you can keep editing the draft safely. Add one script tag to your website and the agent appears in the right corner for your page’s language.

    • Restrict the widget to your own domains
    • Right-to-left and left-to-right handled automatically
    • WhatsApp is coming soon
    Website widget snippet
    <script async src="https://cdn.gental.ai/w.js"
      data-agent="pk_live_…" data-locale="en"></script>

Product

Everything an agent needs to be trusted

Thoughtful defaults for accuracy, language and control, all visible in one dashboard.

  • Grounded answers with citations

    Hybrid search finds the right passages; every answer links back to the file page or web page it came from.

  • Says “I don’t know”, then hands over

    Below a relevance threshold the agent doesn’t call the model at all. It replies with your fallback sentence and points to your team.

  • Arabic-native, end to end

    Dialects, Arabic-English mixing, right-to-left layout and Arabic search normalization, so different spellings still match.

  • One knowledge library

    Sources are ingested once and attached to any agent. Updates reach every agent that uses them.

  • Personas and playbooks

    Reusable roles with tone, rules, playbooks and examples. Change one persona, update every agent at the next publish.

  • Exact usage and cost, per agent and task

    Token counts come from the AI provider’s own reports, never estimates, and are priced per agent and per task: answers, search and knowledge processing.

  • Persona tests and an AI builder

    Graded test runs with pass rates, and an AI assistant that drafts a persona and its test scenarios from a short description.

  • Hosted in Saudi Arabia, isolated by design

    Your workspace data is stored in Google Cloud’s Dammam region (me-central2). Database-level isolation keeps every workspace separate.

Use cases

One builder, many front desks

Pick a starting template, add your own documents, and the agent takes it from there. These sample exchanges show the tone, not real customers.

Answer order, shipping and return questions around the clock

Grounded on your policies and product pages, the agent handles the repetitive questions and hands disputes to your team.

Starts from
E-commerce assistant
Typical knowledge
  • Return and shipping policies
  • Product pages from your site
  • Warranty terms
Sample exchange

Does this size run true, or should I order one up?

According to the size guide the cut is slightly loose, so your usual size should fit. If it doesn’t, you can exchange it within 14 days.

Security & trust

Your knowledge stays yours

Gental is built for businesses that answer to customers and regulators. Here is exactly what we do today, without borrowed badges.

  • Workspace isolation

    Every record carries its workspace and is protected by row-level security in the database. A request for another workspace’s data finds nothing.

  • Data stored in Saudi Arabia

    Workspace data, documents and search indexes are stored in Google Cloud’s me-central2 region in Dammam.

  • Aligned with the PDPL

    Gental is designed around Saudi Arabia’s Personal Data Protection Law: data kept in the Kingdom, collected only as needed and separated per workspace.

  • Not used for training

    Gental doesn’t train models on your content. Answers are generated by leading AI models through commercial APIs that exclude customer data from training.

  • Guarded instructions

    Platform rules always come first: agents ignore instructions hidden inside documents, never reveal their prompt and stay within your business scope.

  • Your domains only

    Limit the widget to your own websites, and every visitor session uses a short-lived token that’s separate from dashboard sign-in.

To write an answer, the passages relevant to a question are sent to the AI model provider for processing.

Pricing

Simple, usage-based and transparent

Pay for what your agents actually do. Plans are being finalized with our early-access customers; start free today.

Early access
  • Free

    Free to start

    To try Gental

    • One agent
    • A monthly message allowance to try it
    • Website widget with Gental branding
    Start free
  • Starter

    Coming soon

    For a first agent in production

    • More agents and messages
    • Larger knowledge library
    • Remove Gental branding
    Join early access
  • For growing teams

    Growth

    Coming soon

    For teams with several agents

    • More agents, messages and seats
    • More knowledge and website pages
    • WhatsApp when it launches
    Join early access
  • Business

    Talk to us

    For larger volumes

    • Custom limits and seats
    • Onboarding help
    • Security review support
    Contact us

One clear unit: the message

Plans are measured in messages. Premium AI models will show as a visible multiplier, and WhatsApp fees from Meta will be passed through at cost.

What a plan sets

  • Number of agents
  • Messages per month
  • Knowledge size
  • Channels
  • Team seats

Prices aren’t published yet. Nothing on this page is a binding offer.

FAQ

Questions, answered plainly

What exactly does a Gental agent answer from?

Only from the knowledge you attach to it: uploaded files and website pages. Each answer cites its sources. If nothing relevant is found, the agent replies with your “I don’t know” sentence instead of guessing.

How well does it handle Arabic?

Gental is built Arabic-first. Agents reply in the visitor’s language, understand dialects and Arabic-English mixing, and search Arabic text with normalization so different spellings of the same word still match. The dashboard and widget are fully right-to-left.

What happens when the agent doesn’t know?

It says so plainly and suggests contacting your team. You can also define escalation triggers in a persona, such as billing disputes, that always end with a handoff suggestion. A shared inbox for live handoff is on our roadmap.

Where is my data stored?

Workspace data, documents and search indexes are stored in Saudi Arabia, in Google Cloud’s me-central2 region. To write an answer, the relevant passages are sent to the AI model provider for processing under terms that exclude training.

Which channels are supported?

Today: a website widget you add with one script tag. WhatsApp is coming soon, and more channels will follow.

Can I test an agent before it goes live?

Yes. The playground always runs your latest draft, and persona tests grade a set of scenarios automatically, so you can see a pass rate and suggestions before you publish.

How is pricing calculated?

Pricing will be usage-based, with the message as the main unit. Paid plans are still being finalized during early access. You can start on the free plan now, and the dashboard already shows exact usage per agent.

Do I need a developer?

No. Building, testing and publishing happen in the dashboard. Adding the widget to your site is a single line of HTML that you, or whoever manages your site, can paste in.

Meet your gentle agent

Create your first agent on your own documents in an afternoon. Early access is open.