FREQUENTLY ASKED

Answers before you build

The questions teams ask before starting an AI project — timeline, budget, data security, ownership and how we work. Short answers; a call fills in the rest.

Getting started

How long does an AI project take to build?

A focused pilot often ships in a few weeks; a full production system runs longer. We give you a realistic timeline after one scoping call, and you see working software at every checkpoint rather than waiting for a big-bang delivery.

How do projects run day to day?

Fixed milestones, weekly demos, shared roadmaps, and production handover with documentation. The engineers who scope your project are the ones who build it.

Do we own the code and models?

Yes. You own the code, models and documentation we deliver — we build for handover, not lock-in.

Can you take over an existing AI project?

Often, yes. We can audit what exists, stabilise it, and either continue it or plan a clean rebuild — we tell you honestly which is the better investment.

Cost & budget

How much does an AI project cost?

There is no flat price — cost depends on scope, integrations and scale, which differ for every project. We ask the budget you are working with and scope an honest plan around it, then quote exactly after a call.

Do you work to a fixed budget?

Yes. Tell us your budget and we design the highest-impact version that fits it, and are upfront about what is and is not achievable within it.

What is the most cost-effective way to start?

A sharp pilot on one high-value use case. It proves ROI before you invest further, and controls spend better than any discount.

Are there ongoing costs after launch?

Usually yes — hosting, model or API usage, and optional maintenance. We flag these upfront so the running cost is never a surprise.

Data & security

Is our data safe with you?

Yes. We treat client data as confidential, scope access tightly, and can build with role-based access, audit logging and data governance where your domain requires it (as we do for clinical AI).

Do you use our data to train models for others?

No. Your data is used only to build and run your system. We do not repurpose it to train models for anyone else.

Can you meet compliance requirements?

We build to the standard the work demands — our clinical AI runs with audit-ready decision logging and role-based clinical workflows. Tell us your compliance context and we design to it.

Where is our data hosted?

Wherever your requirements dictate — your cloud, a chosen region, or on-premise for sensitive work. We design hosting around your governance, not ours.

Technology & approach

Which AI models do you use?

Whatever fits the job and budget — commercial or open-source LLMs, custom-trained models, or a mix. We are not locked to one vendor, and we build provider-swapping in where it saves cost.

Can you work with our existing stack?

Yes. We integrate with your CRM, databases, telephony, cloud and tools rather than forcing a rebuild, and design AI to fit your workflows.

What is the difference between RAG and fine-tuning?

RAG grounds answers in your live documents and data (accurate, easy to update); fine-tuning adjusts a model’s behaviour on examples (good for style and format). Most business chatbots want RAG; we advise which fits your case.

Do you build agentic AI, not just chatbots?

Yes — agentic workflows that take actions across your tools (CRM updates, scheduling, escalation), with monitoring and human-in-the-loop fallbacks for reliability.

Working with Midalaxy

Where is Midalaxy based?

Bangalore, India — delivering worldwide. We overlap the full UK, EU, Middle East and India working day and a good part of the US day.

How do we start a conversation?

Book a call, message us on WhatsApp, or send your scope through the site. We reply within one business day.

What makes Midalaxy different?

Production track record over pitch: 10,000+ concurrent voice calls, NHS-grade clinical AI, a 132-endpoint SaaS platform — built by a senior team where the people who scope your project build it.

Do you provide support after launch?

Yes — we offer maintenance, monitoring and ongoing iteration, scoped to what your system needs.

Question not answered?

Tell us what you are building. We reply within one business day.