Straight answers
The questions buyers ask before they book a call, answered without the sales gloss.
Getting started
What does Matrida Infotech do?
We design, build and run production AI systems: AI agents, RAG knowledge assistants, generative AI applications and workflow automation, plus the operations layer that keeps them reliable.
How much does an AI project cost?
It depends on scope, integrations and risk. Our free AI project cost estimator gives an indicative range in two minutes, and a strategy call will narrow it down.
How long until we see something working?
Our Strategy Sprint gives you a working prototype on your data in two weeks. A focused production pilot usually takes 6 to 12 weeks.
Do we keep ownership of the code and data?
Yes. You own the code, prompts and evaluation sets we write for you. Your data stays yours and is never used to train models.
Which AI models and tools do you use?
We are vendor-neutral and choose on evaluation results, using hosted models from major providers or self-hosted open-weight models when your data rules require it. Our designs keep you free to switch.
Is it safe to share our data with an AI project?
We draw the data flow on one page, apply least-privilege access, redact personal data where needed and use terms that exclude training on your data. We involve your security team in the first week.
Cost, timing and ownership
What does an AI engineering company actually do?
It takes a business problem, decides whether AI is the right tool, builds the system around a model (data, retrieval, tools, guardrails, evaluation, monitoring) and keeps it working after launch. The model is the small part; the engineering around it is the product.
Should we hire an AI engineer, use an agency or work with a studio like Matrida?
Hire when AI is a permanent core capability and you can wait for the ramp-up. Use a studio when you want a working result in weeks, senior people on day one, and the option to take the work in-house afterwards. Many teams do both: we start the system and pair with the engineers they hire.
How fast will we see results, and what happens in the first 90 days?
A prototype on your data in about two weeks, a pilot with real users by around day 75, and a decision against the agreed target by day 90. The exact dates depend on data access and your approval speed.
How is success measured?
Against a baseline and target agreed in week one, using an evaluation set from your real cases. We report the same numbers weekly, whether they are good or bad.
Who owns the code, prompts, data and cloud accounts at the end?
You do. Work is built in your accounts by default, with documentation and a handover. If you choose the managed option, reports, prompts and logs stay visible to you and the system can be moved to your accounts on request.
Do we have to change our tools?
No. We work with the systems you already use through their APIs and add only what the use case needs. We name any new tool and its cost before it is introduced.
Is this right for a company like ours?
It fits teams that have a real process, product or knowledge problem and some data or documents behind it, from a startup shipping its first AI feature to an enterprise team scaling several. If AI is not the right answer, the first call says so.
How the work runs
Do you work on fixed price?
Yes, for sprints and well-defined pilots. Ongoing work runs as a monthly pod or retainer.
How do you handle security?
NDA first. Least-privilege access, private deployment options, no training on your data, and written data-flow documentation.
What happens if the pilot misses its target?
We agree exit criteria up front. If the target is not reachable, we tell you early and recommend a change of course, rather than extending the project.
Can you work alongside our own engineers?
Yes, and it is often the best setup. A dedicated AI pod pairs with your team, so the knowledge stays with you after we leave.
What do you need from us to start?
One sponsor who owns the outcome, a few hours of your experts’ time, and sample data. We handle the rest, and we sign an NDA first if you want one.
Talking to us
How quickly will someone reply?
An engineer reads every message and replies within one business day.
Is the strategy call really free?
Yes. It is 30 minutes with an engineer, and you leave with a verdict on your idea, a rough scope and a next step, whether or not you work with us.
Who will I speak to?
An engineer who builds AI systems, not a salesperson. If your question needs a specialist, we bring them in.
What should I prepare before the call?
A few sentences on what you want the AI to do, an example of the data or documents involved, and any constraints such as security rules, deadlines or budget range. None of it needs to be polished.
Do you sign an NDA?
Yes, on request, before you share anything sensitive.
Unfamiliar term? See the AI glossary →
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