Custom Machine Learning Models
কাস্টম মেশিন লার্নিং
Demand forecasting, churn scoring, lead scoring and fraud detection models trained on your own transaction data, not a generic template.
Sun – Thu · 10:00 – 19:00 BDTSun–Thu · 10–19EN · বাংলা
Artificial Intelligence
AI Development Company in Bangladesh
এআই দিয়ে আপনার ব্যবসার কাজ সহজ, দ্রুত আর লাভজনক করি।
We design, build and deploy custom AI systems for Bangladeshi businesses: machine learning models, LLM assistants, Bangla NLP, computer vision and process automation. Engineering that ships to production, measured against a business metric you already track.
- 40+
- AI & automation builds shipped
- 2
- Languages supported: Bangla + English
- 6–8
- Weeks to a working prototype
- 24 hr
- Reply from a senior engineer
01 – What we build
Our AI development services
আমাদের এআই সার্ভিস
From a two-week feasibility sprint to a fully deployed intelligent system, every build is scoped around one measurable business outcome.
Artificial intelligence stopped being a research topic in Bangladesh the moment ChatGPT-style assistants reached the average Facebook inbox. Retailers in Dhaka now answer thousands of Bangla and Banglish messages a day, banks are scoring risk on mobile wallet history, and factories in Gazipur and Narayanganj are testing camera based quality checks. What most local businesses lack is not ambition or data, it is an engineering partner who can turn a messy spreadsheet export into a system that runs every day without supervision. That is the role we play as an AI company in Dhaka: part machine learning team, part automation shop, fully accountable for the number the system is meant to move.
That is the gap we work in. As an AI development company in Bangladesh we scope projects the way a CFO would: what does the process cost today, what would a 20 percent improvement be worth, and what is the cheapest reliable way to get there. In a large share of engagements the answer is a small language model wrapper plus clean automation rather than a bespoke deep learning build, and we will tell you that in week one rather than month six. When a custom model genuinely is the answer, we build it, evaluate it against a baseline and hand over every artefact so your team is never hostage to ours.
Generative AI & LLM Applications
জেনারেটিভ এআই ও এলএলএম
RAG assistants, document Q&A, content engines and internal copilots built on GPT, Gemini or open models, with guardrails and cost controls.
Bangla & English NLP
বাংলা-ইংরেজি এনএলপি
Intent detection, sentiment analysis and search that actually understands Banglish, transliteration and Dhaka slang, not just clean English.
Computer Vision Systems
কম্পিউটার ভিশন
OCR for NID and invoices, quality inspection on the production line, shelf and footfall analytics from existing CCTV feeds.
Predictive Analytics & Data Engineering
প্রেডিক্টিভ অ্যানালিটিক্স
Warehouses, pipelines and dashboards that turn scattered POS, CRM and ad data into forecasts a board can act on.
AI Process Automation
এআই অটোমেশন
Order triage, support deflection, invoice matching and reporting workflows automated end to end so your team stops copy-pasting.
Already know you need a conversational assistant? See our AI chatbot & voice search service or browse all services.
02 – Our advantage
Why brands pick us for AI
কেন আমাদের সাথে কাজ করবেন
Business outcome first, model second
Every engagement starts with the metric you want moved: cost per lead, support cost, stock-out rate. If a rules engine beats a model, we say so.
Built for the Bangladeshi context
bKash and Nagad flows, COD behaviour, Bangla text, mobile-first bandwidth. Systems tuned for how business is actually done here.
You own the code and the data
Repos, model weights and pipelines handed over on completion. No black box, no vendor lock-in, NDA signed before kickoff.
Marketing DNA behind the engineering
We are a growth agency first, so AI ships wired to your funnel, CRM and ad accounts, not stranded in a lab notebook.
Compare your options
In-house team vs offshore vendor vs us
| Factor | In-house hire | Generic offshore | With us |
|---|---|---|---|
| Time to first result | 3–6 months to hire and ramp | Fast start, slow context | Working prototype in 6–8 weeks |
| Bangla & Banglish handling | Depends on the hire | Usually English only | Built in from day one |
| Cost profile | Salary plus infra, fixed | Hourly, scope creep risk | Fixed scope, BDT ranges upfront |
| Ownership | Yours | Often licensed back to you | Full code and model handover |
| Business context | Strong internally | Limited | Growth agency wired to your funnel |
03 – How we work
Our AI development process
আমাদের কাজের ধাপ
Four stages, each with a decision gate. You can stop after any stage and still keep everything we built.
01
Discovery & feasibility
সম্ভাব্যতা যাচাই
We audit your data, define the success metric and give you an honest go / no-go with cost and timeline.
02
Data foundation
ডেটা প্রস্তুতি
Collect, clean and structure your data. Pipelines, labelling and privacy controls before a single model is trained.
03
Build & evaluate
মডেল তৈরি
Prototype in weeks, evaluate against a baseline, iterate until accuracy and unit economics both make sense.
04
Deploy, monitor, scale
ডেপ্লয় ও স্কেল
Ship as an API or embedded workflow, monitor drift and cost, retrain on a schedule you control.
04 – Industry use cases
Where AI pays for itself
কোন খাতে এআই কাজে লাগে
Real deployments we scope most often for Bangladeshi operators, with the outcome each one is measured against.
Recommendation and demand forecasting
- Personalised product feeds on site and in Messenger
- COD risk scoring to cut fake-order losses
- Stock forecasting across Daraz and own store
Patient intake and triage assistants
- Bangla chat assistant for appointment booking
- Automated report summaries for busy consultants
- No-show prediction and smart reminder timing
Fraud detection and risk scoring
- Real-time anomaly detection on transactions
- Document OCR for NID and KYC onboarding
- Automated credit scoring for thin-file customers
Quality control and predictive maintenance
- Vision-based defect detection on the line
- Downtime prediction from sensor history
- RFQ and quotation drafting copilots
05 – Tooling
Our AI technology stack
আমাদের টেকনোলজি স্ট্যাক
Proven, well-supported frameworks and infrastructure, chosen so your team can maintain the system after handover.
PythonPyTorchTensorFlowscikit-learnOpenAIGoogle GeminiLangChainHugging FaceSupabasePostgreSQL + pgvectorFastAPINode.jsDockerCloudflare WorkersBigQueryn8n
06 – Engagement models
AI development pricing in Bangladesh
এআই প্রজেক্টের খরচ
Indicative BDT ranges so you can budget before the first call. Final scope is fixed in writing after discovery.
AI Feasibility Sprint
From ৳75,000
2 weeks
Data audit, use-case shortlist, cost model and a clickable proof of concept. Deliverable is a decision, not a deck.
- Data readiness audit
- Use-case scoring
- PoC prototype
- Build vs buy recommendation
Most requested
Custom AI Build
From ৳3,50,000
6–12 weeks
End-to-end delivery of one production AI system: data pipeline, model, API, monitoring and handover.
- Dedicated ML engineer
- Pipeline + model + API
- Evaluation report
- Full code handover
AI Retainer
From ৳90,000 / month
Ongoing
Continuous improvement: retraining, new use cases, prompt and cost optimisation, and monthly reporting.
- Monitoring & retraining
- New feature sprints
- Token / infra cost tuning
- Monthly business review
07 – FAQ
AI development questions, answered
সাধারণ প্রশ্ন
How much does AI development cost in Bangladesh?
A focused feasibility sprint starts around ৳75,000 and a production AI system typically lands between ৳3,50,000 and ৳15,00,000 depending on data complexity, integrations and accuracy requirements. Ongoing retainers for monitoring and retraining start near ৳90,000 per month. We quote a fixed range after the discovery call, never an open cheque.
How long does an AI project take?
A proof of concept usually takes 4 to 8 weeks. Full production deployment with integrations, monitoring and handover generally runs 3 to 6 months. If your data is already structured, timelines shorten significantly.
Do we need clean data before starting?
No. Most Bangladeshi businesses come to us with data spread across spreadsheets, POS exports and CRM records. Data engineering is part of the build: we audit, clean, structure and pipeline it before any model training begins.
Can the AI understand Bangla and Banglish?
Yes. Bangla and Banglish handling is a core part of our NLP work. We fine-tune and prompt-engineer specifically for transliterated Bangla, mixed-script messages and local phrasing, which off-the-shelf English models handle poorly.
Will the solution integrate with our existing software?
Yes. We ship models as secure APIs or embedded workflows that connect to your existing ERP, CRM, Shopify or WooCommerce store, Facebook Page inbox and internal tools.
Who owns the code and the trained model?
You do. On final payment we hand over repositories, model artefacts, pipeline configuration and documentation. We sign an NDA before kickoff and support on-premise or your own cloud account if data cannot leave your infrastructure.
Which AI development company is best in Bangladesh?
Judge on three things rather than logo walls: shipped production systems you can verify, a written evaluation method for accuracy, and clear ownership of code and data. Ask any shortlisted vendor for one case where they recommended against building a model. A partner who has never said no is selling hours, not outcomes.
Do you build AI agents and RAG chatbots on our own documents?
Yes. Retrieval augmented generation on your product catalogue, policy documents, SOPs or ticket history is one of our most requested builds. Documents are chunked, embedded into a vector store such as pgvector, and answers are grounded with citations so staff and customers can verify the source.
Can you work with small businesses and startups, not just enterprises?
Yes. A large share of our AI work starts as a single automation for a team of five to twenty people, for example inbox triage or invoice extraction. We keep the first scope small enough to prove value inside one quarter, then expand only if the numbers justify it.
How do you protect customer data and stay compliant?
Data is minimised before it leaves your systems, personal identifiers are masked where the use case allows, and access is logged. We can deploy inside your own cloud account or on-premise, and we align with the Bangladesh Bank ICT guidelines and GDPR style consent practice for clients serving overseas customers.
What ongoing costs should we plan for after launch?
Budget for three lines: inference or API usage, hosting and monitoring, and periodic retraining. For a typical mid-sized deployment that lands between ৳15,000 and ৳60,000 per month in infrastructure and model usage, plus an optional retainer if you want us maintaining and improving the system.
08 – Buyer's guide
How to choose an AI development company in Bangladesh
সঠিক এআই পার্টনার বাছাই করবেন যেভাবে
Most AI projects fail on scoping, not on modelling. Use these six checks on any vendor you shortlist, including us.
Ask for a production reference
Demos are cheap. Ask which systems are still running a year later, who maintains them and what the measured lift was.
Insist on an evaluation plan
Accuracy without a baseline is marketing. A serious partner defines the metric, the baseline and the acceptance threshold before building.
Check data engineering depth
Around seventy percent of an AI project is pipelines, labelling and cleaning. A team that only talks about models will stall on your data.
Confirm ownership and exit
Repos, weights, prompts and infrastructure configuration should transfer to you. Get the handover clause in the contract, not in an email.
Review the cost model
Token usage, GPU time and retraining are recurring. Ask for a monthly run-rate estimate at expected volume, not just build price.
Test local language quality
Send ten real Bangla and Banglish customer messages during evaluation. The gap between vendors shows up in minutes.
Is your business AI ready?
আপনার ব্যবসা কি এআই এর জন্য প্রস্তুত?
You do not need a data science team or a perfect warehouse to start. You do need enough history, one owner and a metric worth moving. Tick four of the six below and a feasibility sprint will almost always pay for itself.
Get a free readiness review- You have at least six to twelve months of transaction, ticket or CRM history somewhere, even in spreadsheets.
- One repetitive process consumes meaningful staff hours every week.
- There is a number you already report that the project can move: cost per lead, response time, stock-outs, fraud losses.
- A single internal owner can approve scope and give feedback weekly.
- Your core systems can expose data through an export, database access or API.
- Leadership is prepared to run a small paid pilot before committing to a full build.
Ready to scope your first AI build?
৩০ মিনিটের ফ্রি কনসাল্টে আপনার ইউজ-কেস, খরচ আর টাইমলাইন পরিষ্কার করে দেব।
Tell us the process you want improved. You will get an honest feasibility read, a BDT range and a timeline within one working day, from a senior engineer, not a salesperson.