01 · What you can do with AI
AI in a product isn't a standalone demo — it's a feature that solves a specific user problem. Here are the scenarios we've already taken to production:
- Photo recognition. The user takes a photo of something — a neural network identifies what it is and what's wrong with it, and gives a clear action plan. In the Dacha Bez Problem case, that's how we recognize plants, diseases and pests.
- AI chat with live operator handoff. AI answers quick questions instantly; when a human is needed, an operator joins the same conversation in real time, and then the chat goes back to AI. Support stays cheap without losing quality on the hard cases.
- LLM integration. We connect large language models for answers, summarization, extracting meaning and "ask the assistant" scenarios — through external providers (OpenRouter, for example) or on your own infrastructure.
- Voice and speech-to-text (STT). Speech recording and transcription, voice scenarios, processing audio from wearable devices — as in the Omi platform.
- Self-hosted AI on your server. When privacy and independence matter, we deploy the backend, database and model keys on your VPS, with no calls to third-party clouds.
The value of AI isn't that it's "there." It's that it gives the user the right answer to a specific problem — and does it reliably, handling timeouts and the cases where the model isn't sure. We add AI where it actually pays off, not to tick a box.
02 · How we integrate AI
We treat AI the way we treat the whole product — systematically. You can read more about our four-stage process; applied to AI, it looks like this:
Problem first, model second
We work out what the user needs to get, and only then choose the approach: our own recognition neural network, an external LLM, or a combination of the two. Often, half the problem is solved by solid logic around the model, not by the model itself.
Cloud or self-hosted — depending on your data requirements
If the data is sensitive or you need independence from someone else's infrastructure, we deploy everything on your server. If launch speed matters more, we start on external providers and migrate later if needed. We discuss this choice at the start and put it in the contract.
AI as part of the system, not bolted on
The AI feature lives inside the product: the app, backend and admin panel are built as one system. Slow model responses, timeouts, errors and "not sure" answers are handled gracefully by the app — the user never sees technical failures.
Production and support
We take it all the way to an app store release or a production server, and stay on for support: model quality and scenarios keep improving based on user feedback.
03 · AI cases
These aren't promises — they're working products:
04 · Frequently asked questions
What can AI do for my app or business?
Practical scenarios we've already taken to production: recognizing objects and problems from photos, a chat assistant with live operator handoff, LLM integration for answers and summaries, voice and speech-to-text (STT), and deploying an AI platform on your own infrastructure. What matters is a specific feature, not AI for the sake of AI.
Does AI have to run in the cloud, or can it run on our own server?
Either works. If independence, control over keys and privacy matter, we deploy it self-hosted: backend, database, and LLM and STT keys on your VPS. That's how the Omi case was done — a fully independent instance of the platform.
Will my data leak to someone else's AI?
With self-hosting, data and keys stay on your infrastructure, and model requests go out from your server. If we use external models, we agree upfront on what data goes where and put it in the contract and NDA.
How much does it cost and how long does it take?
It depends on the task. We delivered a standalone self-hosted project in 14 days; an AI feature inside a mobile MVP is part of a project starting at 4–6 weeks. For exact numbers, request an estimate and we'll send you a free idea review.
I only have an idea, no spec. Will you take it on?
Yes. Describe the task and we'll send you a review: which AI approach fits, what goes into the first version, and how long it will take. We'll help you put the spec together.