We're building the data layer Pakistan never had
Pakistan's data exists but is inaccessible. Fragmented across PDFs, Excel sheets, legacy systems, and government portals. DataLayer is the company that structures it all and delivers it to enterprises.
The problem we solve
| Who | Their Problem |
|---|---|
| Banks | Card deals, merchant info, and customer offers scattered across PDFs, Excel sheets, and legacy systems. No unified API. |
| Fintechs | Need FBR verification, bank data, merchant catalogs — but building ingestion pipelines in-house is expensive and fragile. |
| E-commerce | Merchant data is inconsistent. No standardized category system. No reliable images or logos. |
| Government | Public data (FBR, SECP, SBP) exists but is inaccessible programmatically. |
| Startups | Can't afford to build data infrastructure. Need ready-to-integrate data solutions to move fast. |
How DataLayer works
Collect
We gather raw, unstructured data from public sources, government portals, and partner integrations across Pakistan.
Structure
Data is cleaned, normalized, categorized, and deduplicated into consistent, queryable databases.
Serve
Structured data is delivered via real-time REST APIs, dashboards, or custom integrations — whatever your stack needs.
“I kept meeting teams paying people to do work that a script could do — and companies sitting on data they couldn't actually use. DataLayer is my answer to both.”
I'm a data engineer who likes the unglamorous problems: reverse-engineering an API nobody documented, turning a 20-tab spreadsheet ritual into a scheduled job, and shaping messy real-world data into something clean enough to build a product on.
Over the last few years I've shipped that work across fintech, real estate, food delivery, martech, and AI — from a live consumer app and a full AI operating system to open-source research and national-scale data pipelines. The through-line is always the same: collect, structure, and deliver data so a business can move faster.
DataLayer is where that work becomes a company — Pakistan's data, made usable. Everything below I designed and built myself.
Things I've built
Production systems, data products, and research — each one designed, engineered, and shipped end-to-end.
WebEngage Automation
Replaced ~40 hrs/month of manual CRM reporting with a self-running pipeline over reverse-engineered dashboard APIs.
ViewKobin AI
A full agency OS with a 14-tool AI agent, vault RAG, and real-time collaboration — built end-to-end.
ViewFoodpanda Data Pipeline
Discovered 29,000+ restaurants nationwide and ingested full menus into an 11-table PostgreSQL warehouse.
ViewDeals Sync Pipeline
The incremental engine keeping 9,500+ bank offers fresh daily across 7 banks — reverse-engineered SDK, change detection, and stale-offer expiry.
ViewCardWise
A live bank-card savings app powered by the Deals, Cards, and Merchants data platform.
ViewAgenticRAG
A vectorless, multi-agent retrieval pipeline that scores 5/5 where vector RAG scores 1/5. MIT-licensed.
ViewPSX Stock Predictor
Walk-forward return forecasting across 77+ PSX equities with a BiLSTM + LightGBM ensemble.
ViewZameen Intelligence
126,000+ properties analyzed into validated pricing analytics for Karachi and Lahore.
ViewCardIntel
The card-and-deals intelligence engine behind the Financial Deals API — structured from raw bank sources.
ViewFBR Tax Verification
Reverse-engineered FBR's IRIS portal into a single NTN/CNIC verification call — a zero-dependency Node client with a concurrent bulk runner.
ViewWhy DataLayer
Who we serve
Let's talk about your data needs
Whether you need our APIs or custom data infrastructure, we're here to help.
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