Custom AI solutions for manufacturing and engineering

A pragmatic approach: on your hardware, no cloud, with measurable results.

AI solutions

From everyday routine to a growth strategy.

Corporate knowledge base

One place to get answers about your rules, standards, and projects. People ask in plain language, and the system answers with a link to the original source.

Working with documentation

Search, cross-check, and draft technical docs: specs, regulations, data sheets, manuals. Checks them against standards and your own templates.

Proposals and estimates

Builds quotes and rough estimates from an incoming request and your product database. A finished draft in minutes instead of hours of manual work.

External communications

Running conversations across corporate messengers and external channels: the agent replies to clients and partners, sorts incoming requests, and hands the tricky cases to a person.

Analyst agent

Pulls data from different systems and documents, rolls it into a report, and answers questions about the numbers. Analytics without manual Excel exports.

Specs and tenders

Reads incoming specs and tender documents, extracts the requirements, and assesses how well they fit your capabilities and deadlines.

Accounting support

Processing source documents, reconciling invoices and acts, drafting entries, and answering routine accounting questions. The agent handles the routine; a person stays in control.

HR assistant

Answers staff questions about HR policies, helps with hiring and onboarding, screens resumes, and prepares documents. Takes the routine off your HR team.

When does AI actually pay off?

Get your house in order first

No knowledge base, and your processes aren't written down anywhere. Here AI just scales up the chaos. Getting your data in order comes first — that's a separate job.

Time to act

Piles of scattered documents + lots of routine brain-work + an expensive expert hour.

More: how to estimate ROI without burning the budget →

What the system rests on

Isolation

All your data, blueprints, and know-how stay strictly inside the company's own perimeter. The computing runs with no internet access at all.

Independence

The models and databases are swappable parts. No lock-in to a single vendor.

Transparency

You can check every step the system takes and trace where each answer came from.

Adaptability

It plugs into the software your team already uses and your internal document systems.

How integration works

We bring an AI agent on board like a new hire: we train it for your processes, run it through an internship and a probation period on real tasks — and only then put it «on staff».

1

Diagnostics

We audit your data, servers, and business context, and find the 2-3 spots where AI pays off most.

2

Assembly

One-to-two-week iterations. We fit the tech to your specific tasks and test the system in isolation.

3

Pilot

A narrow live launch with 3-5 users. Daily feedback. Hard before/after numbers.

4

Deployment

Moving to production infrastructure, handing over the docs, and rolling out across departments.

How autonomous the system gets

Capabilities grow step by step, from passive search to actively running processes.

1

Knowledge search

Answers employees' questions with links to your internal rules and standards.

2

Producing documents

Drafts proposals, reports, and process sheets from your templates.

3

System actions

Prepares records for external systems. Nothing runs until a human confirms it.

4

Agent coordination

A team of specialized AI agents tackles a multi-step task on its own: gathering data, preparing it, taking action.

More: where control breaks down in a human + AI pair →

Have questions?

Drop us a line: