A document-grounded assistant for your website and WhatsApp that reads your policies, manuals and FAQs, answers in the customer’s language, and shows Arabic right to left the way it should be.
Pilot pricing from ₹12,000 per month + usage. Built for teams serving customers across India and the Gulf.
Lingora reads your own documents — policies, product manuals, warranty guides and FAQs — and answers customers and staff in English, Arabic or Hindi, on your website and on WhatsApp. Arabic is shown right to left the way a native reader expects, every answer cites the passage it came from, and anything it cannot support is handed to a person.
Design targets and capacity, measured on demo data — not results from client deployments.
The assistant is built on what you already publish and maintain, indexed by section and page so every answer can point back to where it came from. Grounding covers:
Arabic is treated as a first language, not a translation at the last step — from how the question is understood to how the reply is laid out on screen. Arabic support includes:
Indian customers rarely write in one script. Lingora reads Devanagari, romanised Hindi and mixed sentences as the same language and replies in the form the customer used. Hindi support covers:
The same assistant, with the same sources and the same rules, on the two places your customers already look for help. Channels include:
When a conversation needs a decision or a human touch, it reaches your team already summarised, so no one has to read the thread from the top. Handoff covers:
A review console shows what was asked, what was answered and what had no source, so the documents get better rather than the assistant guessing more. We help support leads see:
A question asked in Arabic can be answered from an English manual, and the other way round. Passages are searched by meaning, not by matching words, so the language of the document never limits the answer.
Every answer Lingora gives is retrieved from your own documents, written in the customer’s language and shown with its source. Anything it cannot support goes to a named team rather than being guessed.
Lingora reads from where your documents already live, answers where your customers already are, and hands over to the tools your support team already uses.
Runs on your own verified business number through the official Cloud API, with message templates for replies outside the 24-hour window.
Ask in the app they already use, in Arabic, Hindi or English, and get an answer with its source instead of a phone queue.
A help widget that switches to right-to-left for Arabic and answers from the same documents as your help centre.
Receive only the conversations that need a person, each with an English summary and the sources already shown.
See which questions found no source and which pages are cited most, so the documents improve where it matters.
The same assistant over an HR handbook or IT guide, for teams that speak Arabic, Hindi and English on the same floor.
Every answer, source and handoff is logged and searchable, so what the assistant told a customer can be checked later.
Lingora is built on foundations a customer-facing assistant needs from the first day: data kept in the region you choose, access that follows your roles, and a record of every answer.
Residency
Deployed in an India, UAE or US cloud region, with documents, index and conversations kept there.
Security
Each customer’s documents and index are isolated, and data is encrypted in transit and at rest.
Access
SAML and OIDC sign-in for the review console, with roles for admins, reviewers and agents.
Audit
Question, retrieved passages, answer and handoff kept together, searchable for later review.
Rendering
Direction, fonts and mirrored layout set per message, so mixed Arabic and English stays readable.
Integrations
Documented APIs and event webhooks, so the assistant fits into the systems you already run.
Six parts, delivered together. They are one product because a multilingual answer is only worth something if it is grounded, a grounded answer is only useful if it renders properly, and none of it is safe without a person to hand over to.
PDFs, Word files, web pages and knowledge-base articles are parsed, split by section and indexed with their page and heading kept. Arabic and English versions of the same document are linked, so either can answer a question asked in the other.
Every answer is composed from retrieved passages and shows the source it used. When retrieval comes back empty or weak, the assistant says it does not know rather than filling the gap from general knowledge.
Modern Standard Arabic answers to questions written in MSA or Gulf dialect, rendered right to left with mirrored layout, Arabic-shaping fonts, and product codes, prices and order numbers isolated so they never reorder.
Questions in Devanagari, in romanised Hindi or in a mix of Hindi and English are understood as one language. The reply follows the customer: Hindi in Devanagari by default, or Hinglish if that is how they write.
One script tag puts the assistant on your site; the same assistant answers on your WhatsApp Business number. Conversations, sources and handoffs are kept in one place whichever channel they started on.
Conversations it should not settle go to your helpdesk with an English summary and the original messages. Your team reviews answers, flags wrong ones and sees which questions had no source, so the documents improve.
Six things we built for support, content and IT teams, from how Arabic is shown to who picks up the phone afterwards.
Right-to-left layout, dialect understanding and mixed-direction text are part of the core, not a translation layer added later.
Every answer cites its source, and anything without one goes to a person, so you can stand behind what customers are told.
Your documents connected, answers tested with your team in each language, then live on the web before WhatsApp.
WhatsApp and your website from one assistant, with one history, one set of sources and one set of rules.
India, UAE or US deployment, designed around the data-protection expectations of each market.
A named lead through the pilot, then support from the engineers who build the retrieval and the rendering.
What the assistant reads, how it replies and where it is available. Open any card to see the detail for that language or channel.
EN
English
AR
Arabic · right to left
HI
Hindi and Hinglish
WA
WhatsApp Business
WEB
Website widget
HUM
Human handoff
We are a new team, and we would rather show than claim. We are taking a small number of pilot partners to turn our demo builds into measured, named results.
One process, one team, a written scope and a fixed end date before any work starts.
An evaluation report on your real cases: accuracy, escalation rate, speed and cost per task.
Below our standard rates, in return for honest feedback and a decision at the end.
Nothing is published without your written approval — not your name, not your numbers.
Client stories will appear here once pilots finish — real names, with permission.
What support, content and IT teams ask before a pilot: languages, Arabic quality, where answers come from, data residency and pricing.
Still have a question?
Thirty minutes with an engineer who builds Lingora. Bring a document in Arabic and we will show you the answer.
English, Arabic and Hindi at launch. In Arabic it understands Modern Standard Arabic and Gulf dialect and replies in Modern Standard Arabic; in Hindi it understands Devanagari and romanised Hinglish. Other languages are scoped and tested per pilot.
Tell us which languages your customers write in, which channels you support and which documents hold the answers. We come back with a walkthrough on your own content, not a generic demo.
Book a walkthrough
Thirty minutes on your languages, channels and the documents you answer from.
We connect your documents
Policies, manuals and FAQs indexed in your chosen region, Arabic and English linked.
Test in every language
Your team reviews sample answers in English, Arabic and Hindi before anyone else sees them.
Go live on web, then WhatsApp
Launch with handoff rules set and a named lead through the pilot.
Looking at another product? See all four
