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AI & automation partner. Made with care across the US, Poland, Estonia, Brazil & Ukraine.

daniel@we-nocode.com+38 (068) 758-94-22+38 (095) 411-95-37
Remote-first, worldwide

Services

  • Agentic AI Systems
  • AI-Native Software
  • AI Cloud Infrastructure
  • Consulting & Advisory
  • AI Training for Companies
  • AI Agents & Chatbots
  • Workflow Automation
  • RAG Pipelines
  • Performance Analytics
  • Web Development
  • Mobile Development
  • Desktop Development
  • Server Development
  • Embedded Firmware
  • Embedded Linux & SoC
  • Edge AI & TinyML
  • Wireless & Connectivity
  • Hardware Prototyping
  • IoT Solutions

Solutions

  • Atflow
  • Alt Auth
  • AdCrier
  • Pastukh
  • Olymp Hill

Portals

  • Client Portal
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  • Partner Portal

Company

  • About Us
  • Our Team
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  • Contact

Labs

  • Miltech
  • AI Labs
  • Internet of Things
  • Robotics

Initiatives

  • Startup Program
  • Academy
  • Olymp Hill

© 2026 WNC. All rights reserved.

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All AI services

AI service

AI Training for Companies

Level up your team on AI tooling

We bring your engineers up to speed on AI coding tools and the production patterns around them — hands-on workshops and curricula tuned to your stack, your codebase and your team’s level, with follow-up pairing on real production code so the learning sticks.

Let’s manage Open Kanban
AI Training for Companies

01 / What changes for you

What it does for you.

Workshops on Claude Code, Cursor, Copilot, Codex & Gemini
RAG, evals & LLMOps bootcamps tailored to your stack
Curriculum tuned to your team’s tools, level & codebase
Follow-up pairing on real production code

02 / Stack

Tools we reach for.

The languages, frameworks and models we use to ship ai training for companies — model-agnostic by design, each workload routed to the right model for quality, latency and cost.

Tech stack

Claude CodeCursorGitHub CopilotCodexGeminiRAG & evalsLLMOpsPrompt & context engineering

Models we use

  • Claude (incl. Claude Code) for agentic coding workflows
  • GPT, Gemini & others so your team can compare and choose
  • Hands-on with evals so engineers measure model quality themselves

03 / Infrastructure

Where it runs, and how it stays up.

  • Delivered live (remote or on-site) + recorded
  • Exercises run in your codebase, not toy demos
  • Curriculum & materials handed over to keep
  • Follow-up pairing sessions on real PRs

04 / Process

How we work together.

01

Assess

We gauge your team’s level, tools and the workflows you want to improve.

02

Tailor

A curriculum tuned to your stack and codebase — no generic slideware.

03

Teach

Hands-on workshops where engineers build with the tools on real tasks.

04

Embed

Follow-up pairing on live PRs so the new habits actually stick.

05 / Good questions

Things people ask about this.

  • No — every session is tuned to your stack, codebase and team level. Engineers practise on your real workflows, not toy examples.

  • Either. We run live remote or on-site workshops, all recorded, plus follow-up pairing sessions.

  • Claude Code, Cursor, GitHub Copilot, Codex and Gemini, plus the production patterns around them — RAG, evals, and LLMOps.

06 / More

The other AI services.

AI service

Agentic AI Systems

Agents that plan, act and finish the job

AI service

AI-Native Software

Software built AI-first, not retrofitted

AI service

AI Cloud Infrastructure

The cloud AI workloads actually need

AI service

Consulting & Advisory

Senior judgement, in the room

Start

Put AI to work in production.

Tell us the problem — we’ll scope a pilot and ship something real. A senior engineer, not a sales rep, writes back.

Let’s manage or open the client Kanban