Software that works beyond the demo.

Challenge

The original master plan was a large image. Individual plots had no searchable coordinates or structured data.

Solution

We combined image processing, number recognition, geographic alignment, and manual GIS review to turn the plan into structured plot data.

Outcome

A searchable property mapping system that can support location-based listings and property applications.

Under the hood

The source was a 14,002 × 9,977 px marketing image. A staged pipeline removes the watermark, finds plots with watershed segmentation, reads plot numbers with OCR, takes sizes from the legend colours, then vectorises the result and fits it to GPS reference points. QGIS is the review desk, with bookmarks for 70 blocks. Every plot number records where it came from, and the pipeline has 400+ automated tests.

Accuracy

The mapping is not survey-grade. Plot positions are aligned to reference points and reviewed by hand, which is right for search and listings, not for legal boundaries.

• Python
• OpenCV
• OCR
• QGIS
• PostGIS
• Next.js

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Challenge

Property inventory and buyer requirements were scattered across disconnected workflows.

Solution

We connected property listings to real plot identifiers, searchable map data, and structured buyer requirements.

Outcome

A unified mobile experience for locating properties and matching available listings to buyer needs.

Under the hood

A React Native mobile experience on a NestJS and PostGIS back end. The map is Plot Atlas served as vector tiles, listings are anchored to real plot IDs, and buyer requirements are matched against live inventory in SQL. One tap opens a call or WhatsApp with the plot details filled in. English and Urdu throughout, with 100+ automated tests.

Status

Android closed testing on Google Play. Not yet publicly released.

• React Native
• Expo
• NestJS
• PostGIS
• MapLibre

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Challenge

A point-of-sale system cannot afford to stop working whenever internet connectivity becomes unreliable.

Solution

We created a local-first transaction workflow with durable storage and controlled cloud synchronization.

Outcome

Sales continue during connectivity interruptions, with transactions safely synchronized when the connection returns.

Under the hood

A desktop till for a multi-campus cafeteria. Every sale is appended to a local log and never overwritten, so a sale cannot be lost or counted twice; an ingest worker applies the log to the cloud back office once the connection is back. The results above come from testing, backed by 350+ automated tests.

• Tauri
• Rust
• Vue
• PostgreSQL

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Challenge

Orders, field staff, stock records, and approvals were spread across manual and disconnected workflows.

Solution

We connected mobile order collection, manager approvals, stock validation, and reporting through a unified backend.

Outcome

A clearer operational view from field sales to management.

Under the hood

Laravel and PostgreSQL behind three surfaces: a Flutter field sales app (the "order booker" role) for sales routes, check-ins, orders with automatic promotions, and payments; a regional manager app (the "TSM" role) for the live team map and approvals; and a web dashboard for sales, stock, accounts and reports. Every order is validated in the database against stock and the retailer's credit limit, with eight role levels from zone to town.

• Flutter
• Laravel
• PostgreSQL
• Vue
• WebSockets

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Challenge

Potential customers were waiting while leads moved manually between advertising platforms, spreadsheets, and sales agents.

Solution

We automated lead collection, duplicate detection, and assignment, with a structured pipeline for managing follow-ups.

Outcome

New leads reach the responsible agent in approximately 1–4 minutes.

Under the hood

The CRM checks Facebook and Instagram lead forms every two minutes, drops duplicates, and assigns each new lead to an agent for a one-tap call or WhatsApp. Role-based access gives managers the full pipeline.

• Next.js
• PostgreSQL
• Drizzle

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Challenge

Important operating data was locked inside an ERP without a public API.

Solution

We developed an automated data collection and transformation workflow feeding management dashboards.

Outcome

A consistent reporting system with automatically refreshed business metrics.

Under the hood

An unattended Playwright job signs in to the ERP, extracts the data every day, and cleans it with pandas before a Flask app serves the dashboards. Leadership opens them without asking anyone for an export.

• Python
• Flask
• Playwright
• pandas

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