AI & Machine Learning Development

What we build

We work across the parts of AI that businesses actually buy: generative AI assistants grounded in a company's own documents, retrieval systems that answer from a knowledge base instead of guessing, document and invoice extraction that replaces manual data entry, classification and recommendation models, computer vision for inspection and counting, and automation that chains these together into a workflow a team already understands.

• Generative AI assistants and chatbots grounded in your own documents (RAG), with citations back to the source
• Document, invoice and form extraction: turning scans and PDFs into structured records
• Natural language processing: classification, summarization, sentiment, entity extraction, Urdu and English
• Computer vision: detection, counting, quality inspection, OCR
• Forecasting and recommendation models trained on your historical data
• AI automation that connects a model to the systems around it: CRM, ERP, WhatsApp, email, spreadsheets
• Evaluation harnesses so you can prove a change made the system better, rather than assuming it

How an AI build actually runs

We start with a scoping week, not a model. That week answers: what decision is this system making, what does a right answer look like, what does a wrong one cost, and what data exists today. Then we build a thin end-to-end version (real data in, real answer out, deliberately unpolished) because that is the fastest way to find out whether the idea survives contact with your actual documents. Only after that is worth continuing do we invest in accuracy, interface and scale.

• Week 1 scoping: decisions, success criteria, data audit, cost model
• Weeks 2-3: thin end-to-end prototype on your real data
• Then: evaluation set, accuracy work, guardrails, human review path
• Then: interface, integration and deployment
• Handover: source code, prompts, evaluation set, runbook and cost breakdown

What this costs to run

Every AI proposal we write includes a running-cost estimate per user per month, because that is the number that kills projects six months after launch. Where a smaller open model does the job we use one, and where a frontier model is genuinely required we say so and show the difference in the estimate. We also build the caching and batching that keeps that bill from scaling linearly with usage.

Honest limits

We will tell you when AI is the wrong tool. A rules engine, a better database query or a fixed form is often cheaper, faster and more reliable than a model, and we would rather say that in the first meeting than deliver an expensive system that a spreadsheet could have replaced. We also do not build systems that make medical, legal, hiring or credit decisions without a human in the loop.

Where we work

Our office is on Near Fubs CNG / Pizza Hut, Pindi Road, Kohat, Khyber Pakhtunkhwa, and we meet clients from Kohat, Peshawar, Islamabad, Rawalpindi, Hangu, Karak, Bannu in person. Everything on this page is also delivered remotely. Most of our work already runs that way, with recorded demos and written updates for clients in other time zones. We work in English, Urdu and Pashto, quote in PKR or USD, and accept bank transfer, Easypaisa, JazzCash and international wire.

Common questions

Learn to do this yourself

We teach the same work we sell. These courses run on-site in Kohat and live online, and admission is open to everyone.