01
Sentiment Analysis
Score customer feedback and reviews across Arabic and English by polarity and intensity, surfaced as a signal your team can act on — the capability most requested first.
Banao · NLP for Arabic & English text
An engineering partner that runs its own operations on what it builds — now applied to your text.
30+ enterprise clients. Building since 2016. We run a 300-person operation on our own AI — then bring that same discipline to Arabic and English: sentiment, summarization, classification, entity extraction.
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The first call is free · 45 minutes · no obligation
02 · What We Deliver
Confirms the capability checklist before you invest evaluation time.
Where your text problem is heaviest, we go deepest
Six capabilities, weighted toward the two that matter most for unread feedback and unread documents.
Book a Discovery Sprint →02
Text Summarization
Condense long documents into working summaries.
03
Classification
Route text into the categories your workflow runs on.
04
Entity Extraction
Pull structured fields from unstructured documents.
05
Bilingual Arabic + English
Neither language is a translation of the other.
06
UAE-Zone Deployment — runs on UAE-based infrastructure, deployed and monitored after go-live as part of the same six-step process.
03 · How we deliver
The same discipline we run our own 300-person operation on — applied to Dubai's Arabic and English text.
30+ enterprise clients. Building since 2016. Six defined steps, start to finish.
- 01
Use-case discovery
We scope the specific text problem against your data — sentiment, summarization, classification, or entity extraction.
- 02
Data & language audit
Your Arabic and English text is sampled and assessed for coverage before any model work starts.
- 03
Model selection & fine-tuning
Base models are fine-tuned on your domain text and evaluated for accuracy in both languages.
- 04
Pipeline build
A production pipeline is built around the model — ingestion, inference, and output, wired end to end.
- 05
UAE-zone deployment
The system is deployed to run inside UAE-zone infrastructure, serving production traffic from the region.
- 06
Monitoring & handover
Live monitoring is in place and the system is documented and handed to your team. You own it — no lock-in.
04 · Recent Work
InterviewGod
Hiring
Vikaas
Outreach
Vidya
Upskilling
30+ clients
Since 2016
We run on the same engineering discipline we're proposing for your text.
Before it reached 30+ clients, we ran it on ourselves — three systems, one ~300-person operation.
Where this doesn't reach yet
The loop above is general delivery discipline. Our only published case in this category — a 2024 agentic, reinforcement-learning automation project that cut a retail client's costs 35% — is not an NLP result, and we're not presenting it as one.
05 · ONE RECORD, READ HONESTLY
The most detailed proof we have — and what it does and doesn't tell you
35%
cost reduction, agentic automation deployment
This is our clearest public engagement record. It's agentic automation — not text analysis. We're citing it here for one reason: it shows how this team ships in production, under the same discipline an NLP engagement would run on. It is not a substitute for an NLP result.
30+
clients since 2016
~300
people, one operation, run on our own AI
06 · FAQ
Questions worth asking before you commit
Localization, ownership and deployment — answered directly, before the call.
01Does this run natively in Arabic, or is English translated after the fact?+
Natively, both directions. Sentiment, summarization, classification and entity extraction are fine-tuned on Arabic and English text directly, with deployment landing in UAE zones as one of the six steps — not bolted on as a translation layer afterward.
02Do we get a generic model, or one trained on our data?+
Trained on yours, and owned by you when the engagement ends. That's the fourth pillar every build is held to — FAST, SMART, PROVEN, OWNED — no subscription required to keep the system running.
03Where does deployment happen, and does our data leave the region?+
UAE zones, as one of the six defined steps. Deployment isn't a separate offshore hop after the model has already been trained elsewhere.
04There's no NLP case study yet — how do we know this will work?+
Ask that directly on a Discovery Sprint. What stands behind it today: 30+ enterprise clients since 2016, an operation of roughly 300 people running on the AI we build for ourselves — InterviewGod for hiring, Vikaas for outreach, Vidya for upskilling — and delivery discipline shown on an agentic-automation build that cut costs 35% for a retail enterprise in 2024. That's evidence of how we build, not a substitute for this specific problem.
05What actually happens on the Discovery Sprint call?+
45 minutes, free, no obligation. Bring the Arabic or English text you're not yet using — feedback, documents, support tickets, whatever's piling up — and leave with a specific answer on what we'd build for it.
Book a Discovery Sprint
45 min · free · no obligation
07 · Closing
No obligation. Bring your data — we'll show you what's possible with it.
Arabic or English feedback, tickets, or documents — whatever's sitting unanalyzed.
Live in the session — sentiment, classification, extraction, whatever the data calls for.
Concrete next steps for your text specifically — not a generic demo deck.