Case Studies

Real products powered by
structured data infrastructure.

We turn fragmented Pakistani data into clean APIs, databases, and AI-ready infrastructure. From consumer fintech apps to enterprise AI platforms — here's what that looks like in production.

CardWise app icon

CardWise

A bank card savings app for Pakistani consumers

Type
API-Powered Product
Industry
Consumer Fintech
Stack
React Native · Supabase
Deals APICards APIMerchants API
cardwise.pk

Challenge

Pakistan has 20+ major banks publishing thousands of card discounts across PDFs, websites, and social media. No standardized format, no unified source. CardWise needed structured, real-time access to every bank deal — filterable by city, category, bank, and card type — without maintaining fragile ingestion pipelines in-house.

What we built

Three production APIs: Deals API(10,000+ active discounts with normalized categories & city filtering), Cards API(full Pakistani card catalog with images & bank info), and Merchants API (enriched merchant data with active deal counts per bank).

How DataLayer handles it

DataLayer manages the full ingestion lifecycle behind the API — automated ingestion, normalization, deduplication, category mapping, validation, and monitoring. Data is refreshed daily from primary bank sources. CardWise simply queries clean, structured endpoints without touching any of the complexity.

10,000+
Active deals structured
20+
Banks covered
8+
Cities
Zero
Ingestion pipelines maintained by CardWise

Internal Build Note

CardWise went from product idea to production app without building its own ingestion infrastructure. All data collection, normalization, and monitoring is handled by the DataLayer platform — the product team focuses entirely on the consumer experience.

Kobin AI logo

Kobin AI

AI-Powered Agency Operating System

Type
Full Custom Build
Industry
Enterprise SaaS / AI
Stack
Next.js 16 · Supabase · Groq
Custom Data Infrastructure
kobin.team

Challenge

Agency founders were drowning in 6+ tools — Slack for chat, Notion for docs, HubSpot for CRM, Linear for tasks. No shared context between them. The AI couldn't see across tools. Every context switch slowed execution and buried important client context. They needed a single, AI-native workspace built from scratch.

What we built

A production-grade SaaS replacing 6 tools in one workspace. Next.js 16, React 19, Supabase with RLS for multi-tenancy. We architected the AI engine, data models, real-time systems, Google Workspace integrations, and Safepay payment infrastructure from a blank repo to deployed product.

6 → 1
Tools replaced
37+
Components shipped
14
AI tools in agent loop
16
API route groups
Technical Scope — What We Engineered
AI Engine

MCP-Style AI Agent

14-tool agentic loop. Creates tasks, updates CRM, searches vault, sends messages — all from ⌘K.

RAG / Search

Vault RAG Pipeline

Two-stage semantic search with pgvector: doc-level anchoring → chunk retrieval with MMR diversity.

AI Automation

Meeting Transcription

Desktop recorder → Groq Whisper → auto-tasks, vault decision notes, CRM pipeline updates.

Collaboration

Real-Time Inbox

Project channels, group DMs, file attachments, emoji reactions, Gmail thread integration.

CRM

CRM & Pipeline

7 deal stages, Kanban board, CSV import, auto-lead detection from Gmail, AI stage suggestions.

Intelligence

Workspace Intelligence

Risk detection, bottleneck analysis, team workload, priority scoring — cached via Redis.

Files

Google Drive Vault

Role-scoped folders synced to Drive. Server-side OCR with pdf-parse and mammoth. AI auto-labeling.

Multi-Tenancy

Client Portal

Scoped workspace per client: inbox, tasks, calendar, vault. One-click portal creation.

Payments

Payment System

Safepay PKR integration. Three-tier plan guards enforcing limits on projects, members, and AI.

Full Technology Stack
LayerTechnologies
FrontendNext.js 16, React 19, TailwindCSS 4, Radix UI, TipTap, D3.js, Recharts
BackendNext.js App Router, Supabase (PostgreSQL + RLS + Realtime), Upstash Redis
AI / MLGroq SDK, HuggingFace BGE-small, pgvector, Whisper
IntegrationsGoogle OAuth, Gmail API, Drive API, Calendar, Meet, Web Push
PaymentsSafepay (PKR), Plan-gated feature guards
InfraVercel, Supabase Cloud, Electron (desktop recorder)

Internal Build Note

Kobin AI was architected and built end-to-end by DataLayer — the AI engine, RAG pipeline, real-time collaboration layer, Google Workspace integrations, and payment infrastructure. Delivered from a blank repo to a deployed, multi-tenant production product.

Data infrastructure you can trust

DataLayer is not an agency. It's a Pakistan-specific data infrastructure company that also builds custom AI and data systems.

Data Freshness

  • Bank deals refreshed daily from primary sources
  • Real-time FBR verification using official public lookup sources
  • Merchant data updated weekly with change detection

Data Quality

  • Normalized merchant / category / city schema
  • Automated deduplication and validation pipeline
  • Structured JSON — no PDFs, no manual parsing

Reliability & Support

  • Monitored infrastructure with uptime commitments for enterprise clients
  • Dedicated integration support and onboarding
  • Custom SLAs and on-premise deployment available

Sample API Response

GET /v1/deals?city=karachi&bank=hbl
{
  "status": "success",
  "data": [{
    "merchant": "Kababjees",
    "bank": "HBL",
    "card": "HBL Debit Card",
    "discount": "25% off",
    "category": "Dining",
    "city": "Karachi",
    "valid_until": "2026-07-31",
    "branches": ["Clifton", "Gulshan"]
  }],
  "pagination": {
    "page": 1,
    "per_page": 20,
    "total": 1284
  },
  "meta": {
    "request_id": "req_abc123",
    "response_time_ms": 42
  }
}

Public-source data, responsibly collected

All data is sourced from publicly available bank websites, government portals, and official merchant listings. We do not access private or restricted systems. FBR verification uses official public lookup channels.

Two ways to work with us

Whether you need structured data delivered to your product or a full custom system built from scratch.

DataLayer Data Solutions

Integrate our structured datasets — Deals, Cards, Merchants, FBR Tax Verification. We handle ingestion, normalization, and monitoring. You focus on your product.

Like CardWise — they consume our data and focus on their app.

Custom Data Infrastructure

Full systems built from scratch — databases, AI pipelines, real-time systems, integrations, and deployment.

Like Kobin AI — we built the entire product end-to-end.

Let's build something real

Whether it's structured data for your product or a full custom platform — we ship production code, not decks.

Get in Touch