Questions

Frequently asked questions

Everything you need to know about working with us. Don't see your question? Just ask.

What kind of AI projects do you take on?

Custom AI development end to end — LLM and generative-AI apps (copilots, RAG search, agents), computer vision, predictive features, and full AI product builds (MVPs). If you're not sure AI is the right tool, we'll tell you honestly.

How much does a custom AI project cost?

It depends on scope, data and how much production rigour you need. Most engagements start with a small, fixed-scope prototype, then a larger build to production. Send us your idea and we'll give an honest estimate — there's a full breakdown on our blog.

How long does it take?

A working prototype is usually 2–4 weeks; production typically 6–12 weeks depending on scope and integrations. A focused AI MVP can launch in as little as 4–8 weeks.

Who owns the code, models and data?

You do — completely. Everything we build lives in your repositories and your cloud accounts, and your data stays in your environment.

Do you work with our existing team?

Yes. We embed with your engineers and product team, or run the build end to end and hand it over with clean code, tests and documentation.

Which AI models do you use?

We're model-agnostic. We choose the best fit for accuracy, latency and cost — often a mix — and build so you can swap to a better model later without a rewrite.

Is the AI reliable enough for production?

That's the whole point of how we build. Every project ships with evaluation, guardrails against bad output, and monitoring for quality, latency and cost — so reliability is measured, not hoped for.

Where are you based, and do you work remotely?

We're a remote-first team and work with clients worldwide, across time zones.

How do we get started?

Tell us what you're building via the contact page or book a quick call. We'll reply within one business day with an honest take and next steps.

Still have questions?

We're happy to help. Send a message or book a quick call.