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06 · Stack and engineering

AI that solves a problem, instead of chasing hype.

We put large language models into real processes: assistants that answer from your knowledge base (RAG), document processing, automation of routine work. We start from the problem, not the technology.

Discuss a pilotPrice PDF
RAG
answers from your own data
Your perimeter
models in Russia, data stays put
Pilot
value proven before you scale
WHAT YOU GET

What the business gains

Search across your knowledge base (RAG)

The assistant answers from your documents and policies with a link to the source rather than inventing things. It takes load off support and your experts.

Routine automated

Sorting emails and enquiries, extracting data from documents, drafting replies. The model takes the repetitive work.

Control over data

We deploy inside your perimeter or on models hosted in Russia where it matters. Sensitive data doesn't leave for someone else's servers.

Pilot first, scale after

We start with an inexpensive pilot on one task with a measurable result, and only scale what proved its worth.

WHAT'S INCLUDED

We pick a task with measurable value, build a pilot on RAG or automation, assess the result and scale it.

01

Assistants and bots

Chatbots for support, sales and internal questions. They answer from your knowledge base and hand the hard cases to a human.

  • Knowledge-base assistant (RAG)
  • A bot in Telegram / on the site / in CRM
  • Escalation to a human operator
02

Working with documents

Extracting data from invoices, contracts and enquiries, classification, summarisation. Less manual entry and proofreading.

  • Data extraction and classification
  • Summarisation and draft replies
  • Rule-based checking
03

Grown-up implementation

Answer-quality evaluation, protection against hallucination, logs and metrics. AI under control rather than a black box.

  • Quality evaluation and tests
  • Guardrails and fact checking
  • Logs, metrics, cost per request
WAYS OF WORKING

Engagement formats

Fix Price

Fixed quote

For work with a clear scope: we fix the quote and the deadline up front — and hold to them. No budget surprises.

Retainer

Monthly support

A dedicated team on your product for a fixed term and budget — support and new features without downtime or recruiting.

Time & Materials

Hourly (T&M)

For long projects that keep shifting: you pay monthly for the hours actually worked, and we adjust the plan as we go.

FREQUENTLY ASKED

Questions about this direction

Where should we start with AI?
With one task where the benefit is measurable — a support assistant over your knowledge base, or triaging incoming enquiries. We build an inexpensive pilot, look at the result, and only then scale.
Will our data leak into someone else's model?
We deploy so that sensitive data stays under control: models hosted in Russia or inside your own perimeter where that's critical. We agree the data requirements up front.
Doesn't AI just make answers up?
That's why we use RAG — the model answers from your documents with a link to the source rather than from memory. Plus checks and quality metrics. It cuts invention sharply, though oversight is still needed.
SEE ALSO
Stack and engineeringBackend developmentServer logic, APIs and integrations that hold up under load.Stack and engineeringData and analyticsEnd-to-end analytics and dashboards — decisions on numbers, not on feel.Platforms and channelsTelegramBots, mini apps and advertising — a channel that genuinely sells.
Next step

Let's find the right task and run a pilot.

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