AI features & automation

Practical AI in your product, not a gimmick

We build AI into real products where it earns its place — language-model features, OCR and document parsing, and automation of the repetitive work that slows your team down. Integrated properly, with checks, not bolted on.

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Most 'AI' in products is either a toy or a black box you can't trust. We build AI that does a concrete job and is checked against reality — so it speeds work up without quietly making things wrong.

A real example: for one client we built invoicing automation. Orders flow in from their e-shop over an API; the system generates the invoice with exact, decimal-precise figures, an LLM re-checks the parsed data before anything is finalized, and it exports clean XML straight into Czech accounting software.

What we build

LLM features & assistants

Language-model features inside your product — drafting, classifying, answering — wired to your real data, not a generic chatbot.

OCR & document parsing

Turn invoices, receipts and documents into structured data — with an AI check step so a misread doesn't become a wrong number.

Process automation

Automate the repetitive, error-prone steps between systems — so your team stops copying data by hand.

Verification, not blind trust

We design AI with checks: an LLM re-reads and validates parsed data, and precise calculations stay exact — decimal, not floating-point guesses.

How a project runs

Listen & scope

We find where AI actually helps — and where it doesn't — and quote a defined, useful first step instead of hype.

Prototype

We prove the AI step on your real data before building around it, so you see it work before you commit.

Build & integrate

We wire the AI into your product and the systems around it — APIs, data, exports — and ship it to production.

Support & evolve

We keep it accurate and improve it as your data and needs change. We respect NDAs and stay reachable.

Built with

LLM integrationOCR & parsingPrecise decimal calculationsAPI integrationsTypeScript / Node.jsPostgreSQL

AI handles your data inside your product, on terms you control — with sensible data handling and GDPR in mind, not someone else's training set by default.

A real, working example

We built invoicing automation for a client (anonymous): orders arrive from their e-shop via API, the system generates exact decimal-precise invoices, an LLM re-checks the parsed data, and it exports XML into Czech accounting software. AI doing real work, with checks — not a demo.

Read the case study

Common questions

Do you only build chatbots?

No. Chat is one use; more often AI is useful inside a workflow — parsing documents, checking data, classifying, automating steps between systems. We build whichever actually helps.

Can I trust AI with numbers and money?

Only if it's designed for it. We keep exact calculations exact — decimal, not floating-point — and use AI to read and verify, with checks, not to invent figures.

Can the AI connect to our existing systems?

Yes — that's usually the point. We integrate over APIs with your e-shop, accounting software or other tools, so the AI fits your real process.

Where does our data go?

We design AI features to handle your data on terms you control, with GDPR in mind — not fed into someone else's model by default.

Have an AI or automation idea?

Tell us the repetitive work or the data problem you want solved — the first conversation is free.

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