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Pak-AI is an AI-first technology company building artificial intelligence, machine learning, and software products for clients and teams around the world.
Why Pak-AI
Independent, hands-on, and shipping production systems for clients across healthcare, enterprise, and research.
Service Domains
AI, ML, CV, NLP, software, ERP, cloud, automation & research.
Clients Worldwide
Based in Pakistan, delivering for teams across the globe.
AI-First Approach
Every solution is designed with intelligence, automation, and scalability at its core.
Full Delivery
From research and design to deployment, QA, and long-term support — we ship it through.
What we do
From frontier AI systems to dependable enterprise software, training, and advisory — engineered end-to-end with evaluation and observability built in.
Production chatbots and agent systems built on LangGraph, AutoGen, and CrewAI. Retrieval-augmented generation, custom fine-tuning (LoRA, full SFT), virtual assistants, evaluation harnesses, and managed integrations with Azure OpenAI and frontier model providers.
Vision systems from classical detection (YOLO, SAM) through modern vision-language models (CLIP, LLaVA, GPT-4V). Specialized expertise in medical and biomedical imaging analysis, OCR pipelines, and real-time edge AI deployments on embedded hardware.
We design and ship machine learning systems end-to-end — from problem framing and data pipelines to model training, evaluation, deployment, and monitoring. Custom models for forecasting, classification, anomaly detection, and recommendation, delivered with the operational discipline production demands.
Transformer-based NLP for classification, retrieval, and generation. Multilingual coverage including Urdu, Arabic, English, and South Asian languages. Speech-to-text and voice-agent systems, semantic search, and intelligent retrieval over large document corpora.
Modern full-stack engineering: Next.js with Server Actions and edge-native apps, NestJS and FastAPI backends, REST and GraphQL APIs, real-time collaborative interfaces, and PostgreSQL/Prisma data layers. Built for performance, observability, and long-term maintenance.
Enterprise platforms that operators actually use: AI-integrated ERP modules, CRM platforms, HR & payroll, inventory management, government portals, and pragmatic legacy migration. Designed around real workflows, not feature checklists.
Process automation that pairs RPA with intelligent document processing (IDP) and workflow orchestration. AI dashboards for operations, scheduled jobs, and end-to-end process automation that reduces manual toil without sacrificing auditability.
Cloud-native delivery across Azure and AWS with Docker, Kubernetes, and disciplined CI/CD pipelines. Security hardening and compliance audits baked into the release flow — not bolted on after deploy.
Applied research engagements with universities worldwide — biomedical and healthcare AI, applied ML projects, and structured training programs for students and faculty. Research that produces shipped systems, not just papers.
Practical AI and software training for teams, students, and professionals — from foundational machine learning to applied LLM engineering. Cohort courses, corporate workshops, one-to-one mentorship, and curriculum built around real, shippable projects.
Focused advisory for teams that need senior direction — AI strategy and roadmapping, architecture and code audits, build-vs-buy decisions, and setting up the first version of an evaluation or MLOps practice. Available hourly or as a short fixed engagement.
Selected work
2026 · AI research & engineering
Expert system reading whole-body bone scintigraphy to classify disease.
2026 · Computer vision · Demo
Dual-model AI studio for realistic hair color simulation with enhanced edge blending.
2025 · ML research & validation
Clinical ML predicting myopia progression from corneal topography.
Tools & technologies
Industries
From regulated healthcare and public sector to high-velocity startups — AI work that respects the realities of each domain.