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Digital systems for businesses that are ready to grow out of spreadsheets.

Every project starts with one of four core builds, then automation gets layered on as needed. Based in Chitwan, working with businesses across Nepal — Kathmandu, Pokhara, Butwal, and beyond.

Core — Software Engineering

Start here.

01 · Core

Website Development

A fast, professional website that makes the business look as credible as it actually is — built to load quickly, work on any phone, and rank on search engines from day one.

Good for: retail shops, restaurants, service businesses, agencies, and anyone who needs a strong first impression online.

02 · Core

Full-Stack Web Applications

Custom portals, CRMs, and internal tools built around how the business already operates — not a generic template forced onto the workflow.

Good for: businesses tracking leads, jobs, orders, or customers across spreadsheets and messages.

03 · Core

SaaS MVP Development

A working product built for founders who need something real to put in front of users — architected to extend as the product grows, not thrown away after launch.

Good for: SaaS founders validating an idea with paying users.

04 · Core

Custom Dashboards

Turn scattered spreadsheets, order data, and sales numbers into one clear view — built to answer the specific questions the business actually asks.

Good for: owners making decisions on gut feel because the data is scattered.

Advanced — AI & Machine Learning

Software built with machine learning where it earns its place.

This isn't a bolt-on feature. Production ML work has included predictive models for fuel consumption on vessel operations (linear regression, XGBoost), anomaly detection and entity resolution across large-scale financial transaction data, and cloud ML workflows on AWS SageMaker. When a project can genuinely benefit from prediction, classification, or automation-through-AI, it gets built in — not bolted on after launch. The goal is the same one behind every service on this page: help a business run on fewer manual hours and grow on a system built to scale with it.

Predictive models Anomaly detection AI-powered automation AWS SageMaker NLP & chatbots
Applied

Predictive analytics

Models trained on real operational data to forecast outcomes — like fuel consumption prediction for vessel operations.

Applied

Anomaly & fraud detection

ML-based anomaly detection and fuzzy-matching entity resolution across large-scale financial transaction data.

Applied

AI-powered product features

Chatbots, smart search, document processing, and recommendation logic — built into the product, not a separate tool bolted on.

Automation Add-Ons

Once the foundation is in place, automate what's around it.

These layer on top of an existing website or system — most businesses add these after the core build, not instead of it.

Add-on

WhatsApp Automation

Automated order confirmations, appointment reminders, and customer replies through the channel customers already use.

Add-on

Chatbots & AI Assistants

A front-line assistant that answers common questions, qualifies leads, or handles bookings without a person at the keyboard.

Add-on

Business Dashboards & Data Analytics

Deeper reporting on sales, inventory, and customer trends — built on top of the systems already in place.

Add-on

AI Integrations

Practical AI features — document processing, smart search, recommendations — added where they save real time.

Add-on

SEO, AEO & GEO Optimization

Getting found — on Google, in AI Overviews, and in ChatGPT-style answers. Technical SEO, structured data, and content built to rank.

Add-on

Digital Marketing & Content

Ongoing website copy, SEO-aware content, and social content — built and reviewed to keep a brand visible and active.

How It Works

One project, four steps, no guesswork.

The same process every time — so you always know what's happening and what's next.

01

Discover

A short call to understand how the business runs today, and where it's losing time.

02

Design

A clear plan and scope — what gets built, in what order, for what outcome.

03

Build

The system gets built in stages, with working versions to review along the way.

04

Launch & Automate

Go live, then layer on automation — dashboards, bots, and integrations — as the business grows.

Questions

Before you reach out.

Yes. Most projects include a support window after launch, and ongoing maintenance or feature work can continue afterward on a scoped or retainer basis.

Yes — this is the most common path. Businesses typically start with a website or core web application, then add dashboards, WhatsApp automation, or chatbots once the foundation is in place.

Both. New builds and improvements to existing sites or systems are in scope, including adding automation to a site that already exists.

Retail shops, restaurants, hotels, hospitals and clinics, service businesses, agencies, and small manufacturers, along with SaaS founders and mid-size organizations that need custom software.

Yes. Based in Bharatpur, Chitwan, and working with businesses in Kathmandu, Pokhara, Butwal, and other cities across Nepal, as well as remotely worldwide.

Yes — production ML work, not a generic bolt-on: predictive models, anomaly detection, and cloud ML workflows on AWS SageMaker, built in wherever they genuinely add value (smart search, document processing, predictive analytics).

Yes — SEO, AEO, and GEO optimization alongside web development: technical SEO, structured data, and content built to rank on Google and in AI-generated answers, for businesses in Chitwan, Kathmandu, Pokhara, and across Nepal.

Not sure which service fits?

Send a short message about how the business runs today — the right starting point is usually obvious after that.

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