AI That Works Properly inBangla
Most systems treat Bangla as an afterthought and break on Banglish, transliteration and regional phrasing. We build for how your customers actually write.
- Bangla + Banglish
- Handles both scripts
- Local phrasing
- Tested on real messages
Bangla, English and Banglish
Including messages that switch language mid-sentence.
Search that finds the match
Transliterated spelling still returns the right result.
Speech in Bangla
Transcription and voice replies tuned to local pronunciation.
Bangla documents and OCR
Reads printed and scanned Bangla, not only English.
Why is Bangla harder for AI than English?
Bangla is under-represented in the data most language models are trained on, so general systems handle it less reliably than English. Three problems compound this in practice: people frequently write Bangla using Latin characters (Banglish), the same word is transliterated several different ways, and messages often switch between Bangla and English within one sentence. A system that only handles clean Bangla script will fail on most real customer messages, which is why Bangla capability has to be tested against actual traffic rather than assumed.
Built for the Bangla people actually type
'Amar order ta kothay?' and 'আমার অর্ডারটা কোথায়?' are the same question. A system that only understands one of them is not a Bangla system.
- Bangla, Banglish and code-switching
- Understands Bangla script, Latin-script Bangla, and sentences that switch between Bangla and English — then replies in whichever the customer used, rather than forcing them into one language.
- Transliteration-tolerant search
- 'Dhaka', 'Dhakaa' and 'ঢাকা' resolve to the same place; product and name searches survive inconsistent spelling.
- Bangla speech to text and back
- Transcription tuned to local pronunciation, and natural-sounding Bangla voice replies for phone and IVR.
- Bangla document processing and OCR
- Reads printed and scanned Bangla forms, NIDs and letters, extracting fields rather than just producing text.
- Tested on your real messages
- We evaluate against a sample of your own customer traffic, because benchmark scores say nothing about your vocabulary.
What changes after launch
- ↑
- Messages that previously fell through to a human get answered.
- ↓
- Transliteration no longer sends a customer the wrong product.
- 1×
- No separate Bangla and English workflows to maintain.
- ✓
- The audience that will not transact in English at all.
More customers understood
Fewer wrong answers
One system, both languages
Reaches customers English misses
From English-only to genuinely bilingual
We start by measuring how badly your current system handles Bangla — usually worse than expected.
Swipe to see all 5 steps →
Common ways businesses use it
Bangla customer support
Chat and WhatsApp support for customers who will not write in English.
Bangla voice and IVR
Phone systems that understand spoken Bangla instead of forcing menu keypresses.
Government and NGO forms
Reading and processing Bangla paperwork at scale, including scanned documents.
Bangla content and search
Site search and content generation that works in Bangla, not translated English.
- Government & NGO
- E-commerce & Retail
- Financial Services
- Healthcare & Clinics
- Education & Training
- Telecom & Utilities
- Logistics & Delivery
- Agriculture
The same question, five ways
Overview — last 7 days
Live94%
Bangla understood
3,410
Banglish messages
2%
Fell through
Mon
Tue
Wed
Thu
Fri
Sat
Sun
Language mix
বাংলা
Matchedআমার অর্ডারটা কোথায়?
Banglish
MatchedAmar order ta kothay?
Regional
Added to trainingUnfamiliar phrasing
Bangla script, Banglish, mixed and misspelled — matched to one intent and answered correctly. Sample data shown.
Questions, answered
01Do the major AI models already support Bangla?
Partly. They handle clean Bangla script reasonably and degrade sharply on Banglish, transliteration and regional phrasing — which is most real customer traffic. The work is in the layer around the model: vocabulary, matching, retrieval and evaluation against your own messages.
02Can it handle Banglish written in English letters?
Yes. That is the specific case general systems fail on, and it is a large share of what customers actually send. We test for it explicitly rather than assuming it works.
03How accurate is Bangla speech recognition?
Good for clear speech on a decent connection, weaker with heavy background noise or strong regional accent. We test with recordings from your own call environment and give you a measured figure before you commit, rather than a vendor benchmark.
04Can it read scanned Bangla documents?
Yes, using OCR tuned for Bangla script. Accuracy depends heavily on scan quality; we run a sample from your archive first so the estimate is based on your documents, not ideal ones.
05How much does a Bangla AI solution cost?
It is priced like the underlying solution — chatbot, voice system or document processing — plus the language work: building the vocabulary and running the evaluation. We quote itemised so you can see what the Bangla capability specifically costs.
06Will it reply in the same language the customer used?
Yes, by default. A customer writing in Bangla gets Bangla; one writing in English gets English; Banglish gets whichever reads more naturally for that message. You can override this per channel.
07Is our data used to train public models?
No. Your data stays in your own systems or a private, access-controlled environment, and is never used to train shared or public models.
Related services
- AI Chatbot & Customer SupportBilingual support across website and messaging.
- WhatsApp Business AutomationWhere most Bangla customer messages arrive.
- Voice AI SolutionsSpoken Bangla for phone and IVR.
- AI Document IntelligenceExtract data from Bangla forms and scans.
- AI Knowledge Base & RAGAnswers from a Bangla document library.
- AI Content GenerationBangla content written for Bangla readers.
Send us the messages your system gets wrong
A sample of your real Bangla and Banglish traffic, and we will show you exactly where it fails and what could be recovered.