Services

AI, ERP and custom software, built around your business

From AI agents and copilots to the ERP, web and mobile systems they run on, delivered by one team.

AI solutions

Practical AI, wired into real workflows

We start from a business problem and the data you already hold, then choose the simplest AI approach that solves it. Every solution ships with evaluation, cost controls and a human review path.

AI agents & workflow automation

Agents that carry out multi-step work inside your systems: triaging requests, reconciling records, chasing approvals.

Task and approval automation
Agents that act through your own APIs
Human sign-off where it matters

Copilots inside your software

An assistant built into the ERP or CRM your team already uses, answering questions from live business data in plain language.

Ask about customers, sales and receipts
Summaries and draft reports
English and Urdu

Intelligent document processing

Turn invoices, contracts, CNICs and delivery slips into structured records without manual typing.

Data extraction from scans and photos
Validation against ERP records
Exception queues for review

Predictive analytics & forecasting

Models that use the data already in your ERP to forecast what happens next.

Instalment default and recovery risk
Demand and inventory forecasts
Delivery time and route estimates

AI-ready systems & MCP integration

Open your existing systems to AI safely, so assistants and agents can read the right data and take the right actions.

MCP servers over your databases and APIs
Per-user permissions carried through
Every AI action logged

AI-assisted legacy modernisation

Move ageing desktop and MVC applications to a modern stack faster, using AI coding agents with engineers reviewing every change.

Module-by-module migration
Client-by-client rollout without downtime
Old and new running side by side

Private & responsible AI

The right model for each job, with your data, costs and output quality kept under control.

Claude, Gemini or open models, no lock-in
Sensitive data kept on your own servers
Evaluation, guardrails and audit trails

AI strategy & readiness

A short, practical assessment of where AI will pay back in your business and where it will not.

Use-case discovery workshops
Data readiness review
Pilot to production roadmap

ERP systems

ERP development and integration

Comprehensive ERP built for how your organisation works, with industry-specific modules for real estate, hire purchase and courier management, and integration with the tools you already use.

See industry modules

Custom ERP modules

Finance, inventory, sales, HR and operations modelled on your own processes.

Integration

Connect ERP to banks, payment gateways, courier APIs, accounting tools and legacy systems.

Dedicated IT support

A team that knows your system, on hand for changes, training and day-to-day issues.

Engineering

Everything needed to ship and run software

Web development

Business web applications built on Angular and .NET, designed for heavy daily use.

Mobile development

iOS and Android apps in Flutter and React Native, from field tools to customer apps.

Backend development

APIs, integrations and data layers on .NET Core, SQL Server and PostgreSQL.

Software architecture

Monolith or microservices, chosen for your scale and team rather than for fashion.

Business intelligence

Dashboards and reporting in Power BI, SSRS and Crystal Reports that people trust.

Quality assurance

Manual and automated testing built into delivery, not bolted on at the end.

Startup consulting

Product scoping, MVP builds and technical guidance for early-stage teams.

SEO & AI search

Technical and on-page optimisation so you are found on Google and cited by AI assistants.

Technology

Technologies we use

AI

Anthropic Claude

Google Gemini

OpenRouter

AI agents

MCP servers

AI coding agents

LLM integration

Python

Backend

ASP.NET Core

ASP.NET MVC

Node.js

NestJS

Express

Entity Framework Core

Dapper

ADO.NET

NHibernate

Prisma

Strapi

Swagger / OpenAPI

Frontend

Angular

React

Next.js

TypeScript

Tailwind CSS

AG Grid

PrimeNG

Kendo UI

ApexCharts

Razor Views

JavaScript

HTML / CSS

Mobile

Flutter

React Native

Expo

Database & caching

Microsoft SQL Server

PostgreSQL

SQLite

Redis

SQL Server Always On

Messaging & real-time

RabbitMQ

Azure Service Bus

SignalR

Hangfire

.NET Worker Services

Web Push

Firebase Cloud Messaging

Integrations

Payment gateways

Meta Lead Ads

Pabbly Connect

SMS gateways

Email (SMTP)

Microsoft Graph

Excel import / export

PDF generation

QR codes & barcodes

Security

JWT authentication

Two-factor authentication

Role-based access control

Audit trails

Monitoring

New Relic

OpenTelemetry

Elastic APM

Elasticsearch

Logstash

Serilog

NLog

Cloud & DevOps

Azure

IIS

On-premises

Docker

Jenkins

GitHub Actions

Azure DevOps

Bitbucket Pipelines

Git

Reporting & BI

Power BI

SSRS

Crystal Reports

Testing

Jest

Jasmine / Karma

Vitest

Questions we get asked

AI, in plain terms

Can AI work with the ERP or software we already have?

Yes. We add assistants and agents on top of existing systems rather than replacing them. eBiz Agent, the assistant inside our own eFlex Pro ERP, works this way: it answers questions about customers, sales and receipts from the live database.

Which AI models do you use?

We work with Anthropic Claude, Google Gemini and open models, and pick per use case on quality, cost and where the data is allowed to go. Your solution is not locked to one provider.

What happens to our data?

That is decided with you before anything is built. The AI only sees what the signed-in user is permitted to see, sensitive data can stay on your own servers, and every AI action is written to the audit trail.

How do you keep AI answers reliable?

By keeping the AI close to real data, testing it against known cases before release, and putting a person in the loop for anything that moves money or changes records.

Where should we start?

With one workflow that is repetitive, well understood and measurable. A small pilot on that tells you more than a large strategy document.

Do you use AI in your own engineering?

Every day. Our engineers work with AI coding agents for implementation, testing and migration work, and review every change before it ships. It is how we deliver faster without lowering the bar.

Start a project

Have a system to build, fix or make smarter?

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