Frequently asked questions

MAUK stands for Machine Learning & AI Advancements for Universal Knowledge Solutions. It represents our commitment to advancing AI technology for global benefit.

Yes. We proudly serve businesses worldwide, with a primary focus on the US, UK, Canada, and Australia. Our remote-first approach lets us collaborate effectively across time zones.

Finance, Healthcare, Retail & E-commerce, Manufacturing, Education, Logistics, Real Estate, Legal, and Technology. Our solutions adapt to each sector's specific needs.

MAUK Solutions (PVT) LTD is an AI development and automation agency. We design, build, and deploy production AI systems, including AI voice agents, AI agents, workflow automation, LLM and RAG applications, computer vision, and the web and mobile products around them. We don't just consult: every engagement ends in a working system.

MAUK Solutions (PVT) LTD is headquartered in Pakistan and works remotely with clients worldwide, with a primary focus on the United States, the United Kingdom, Canada, and Australia.

MAUK Solutions (PVT) LTD is led by its three co-founders: Usama Khalid Masood (Co-Founder & Managing Director), Hammad Jamal (Co-Founder & CFO), and Muhammad Abdurrahman (Co-Founder & Lead AI Engineer).

Yes, we specialize in bespoke AI systems tailored to your specific business needs. We work closely with you to understand your challenges and build solutions that drive results.

Large Language Models, generative AI, computer vision, and advanced neural networks, alongside Next.js, React, FastAPI, Django, Node.js, n8n, Twilio, and modern cloud infrastructure. We choose the best tools for each project.

Absolutely. We specialize in seamless integration with your current systems and workflows. Our solutions enhance your infrastructure, not replace it.

An AI voice agent is software that answers and makes phone calls in natural spoken language. It understands callers in real time, answers their questions, and takes actions during the call, such as booking an appointment into your calendar. Our flagship is an AI receptionist for dental clinics that answers every call, 24/7.

Workflow automation follows fixed rules: when a trigger fires, data moves between systems in the same way every time. An AI agent uses a language model to plan steps, read unstructured information, use tools, and make judgment calls. Automation is best for repeatable steps; agents are best for work that needs reading, deciding, and writing. Many systems use both.

Yes. We build retrieval-augmented generation (RAG) systems that make language models answer from your own documents with citations, using vector databases such as Pinecone, Chroma, and pgvector, and we fine-tune models on proprietary data when a use case needs it. Guardrails, audit trails, and evaluations are part of every build.

Yes, and it is delivery-focused. We assess your operations, rank AI opportunities by return and feasibility, and turn the best one into a working system. You get a plan written by the engineers who will build it, not a report that needs a second vendor.

We provide flexible, tailored packages for startups, SMBs, and enterprises, with scalable solutions that grow with your business.

Timelines vary with scope: a focused AI integration typically takes 4 to 8 weeks, while a comprehensive custom platform can take 3 to 6 months. We provide detailed timelines during the initial consultation.

Yes. Comprehensive post-deployment support and maintenance packages keep your systems performing optimally and evolving with your business.

Four stages. Discover (weeks 1 to 2): requirements, success metrics, and a feasibility assessment. Design (weeks 2 to 4): architecture, data flows, API contracts, and wireframes, approved before production code is written. Develop (weeks 4 to 10): weekly sprints with working increments. Deploy & Scale (week 10 onward): production deployment, monitoring, and optimisation from live data.

It depends on scope, so we do not publish a price list. The main cost drivers are the AI capability involved, the number of systems to integrate, the platforms (web, mobile, voice), and data preparation. After a free discovery call we scope the project and send a proposal; project work is billed by milestone.

Three. Project-based: fixed scope and milestone billing, typically 4 to 16 weeks, ideal for MVPs and standalone automations. Retainer partnership: a monthly allocation of hours with priority response, typically with a 3 to 12 month minimum. Dedicated team: senior AI engineers embedded in your workflow, for 6 months or more.

Book a free 30-minute discovery call. We will identify your highest-impact AI opportunity and outline how we would build it. If there is a fit, we agree the proposal and scope, then begin with kickoff and a first sprint.

Every week. We deliver working increments at the end of each weekly sprint, keep a shared progress dashboard you can check at any time, and send written status reports. There are no long silent stretches followed by a single delivery at the end.

Data security is our top priority: industry-standard encryption, secure data-handling practices, and compliance with relevant regulations including GDPR and CCPA (with HIPAA-conscious architecture for healthcare projects).

You do. Model weights, training data pipelines, infrastructure code, and application source code transfer to you on completion. There are no licensing fees, no vendor lock-in, and no dependency on MAUK for your system to keep running.