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AI agents and
ML solutions for real work.

We turn business problems into working AI, data and software systems, from the data pipeline to the app your team uses. One partner, from first version to production.

Czechiangnlab.io s.r.o.
genai / agentsML / datamlops / llmopscloud / web apps
visitor@ngnlab.io: ~ — zsh

interactive — try help, services, contact

Start with the work that needs to change.Build the system that makes it happen.

module — about

ngnlab.io is an independent technology consultancy and delivery partner. We help organisations turn a specific bottleneck, decision or opportunity into a working solution: an AI agent connected to your tools, a predictive model in production, a data platform people trust or a web application that puts it in front of your team. Because one team covers data, models, cloud and software, nothing gets lost in handovers. We work from discovery and validation through integration, rollout and ongoing improvement.

// a delivery partner, not just a prototype

What we build

module — services

Use one capability on its own or combine them end to end, from raw data to a deployed application. We shape the scope with you.

GenAI & AI agents

genai

Assistants that answer from your own documents and data, and agents that carry out multi-step work across your tools. We engineer the context, test quality with evals and keep people in the loop where it matters.

  • RAG & knowledge assistants
  • MCP servers & tool connections
  • Evals, guardrails & human review

The business case

Less time searching, copying and handing work between systems.

Machine learning & predictive modelling

ml

Turn historical data into forecasts, risk scores and recommendations. We validate every model against a simple baseline, then build it into the process where the decision is actually made.

  • Forecasting & predictive models
  • Classification & risk scoring
  • Deep learning & computer vision

The business case

Better calls on demand, risk and pricing, with accuracy you can measure.

Data science & data engineering

data

Build the pipelines, data models and shared metrics that turn scattered sources into AI-ready data, then analyse it to answer the questions your business is asking.

  • Pipelines & data integration
  • Lakehouse, warehouse & semantic layer
  • Analytics, dashboards & experiments

The business case

One version of the numbers, refreshed automatically instead of rebuilt by hand.

DevOps, MLOps & LLMOps

ops

Keep software, models and LLM applications dependable after launch. We automate testing and releases, version models and prompts, and trace quality, latency and cost in production.

  • CI/CD & automated testing
  • Model & prompt lifecycle
  • Tracing, monitoring & cost control

The business case

Predictable releases and AI that keeps improving instead of quietly degrading.

Cloud on Azure, AWS & GCP

cloud

Design, migrate and run workloads on the cloud that fits your organisation, with infrastructure as code, least-privilege security and clear cost visibility.

  • Architecture & migration
  • Infrastructure as code
  • Security & FinOps

The business case

A platform that scales with you, with cloud and AI spend you can see and control.

Full-stack web applications

web

Build the internal tools, client portals and AI-enabled products that put data and models in front of real users, from API and database to a fast, accessible interface.

  • Internal tools & portals
  • AI-enabled web apps
  • APIs & system integrations

The business case

A usable product, not another isolated technical project.

Not sure where your challenge fits? Tell us what needs to change

Where this helps

module — applications

Examples of the problems these capabilities can address. Each engagement is shaped around your data, systems and team.

Answer with the right context

Customer support

An AI assistant retrieves answers from approved knowledge, cites its sources and passes uncertain cases to a person.

Move routine work along

Operations

An agent reads incoming requests, updates business systems through approved connections and routes exceptions to the right person.

Plan with better signals

Planning

Use historical data, clear metrics and forecasting models to explore demand, capacity or risk before committing resources.

Trust the numbers

Finance & reporting

Replace manual exports and spreadsheet merges with automated pipelines and shared metric definitions, so every report starts from the same data.

Put AI where people work

Internal teams

Bring data, predictions and assistants into one web application with the right access controls, instead of another tool nobody opens.

Ship and operate with confidence

Engineering teams

Move workloads to a well-architected cloud, automate releases and monitor applications, models and LLM costs in one place.

From question to working system

module — approach

A practical engagement: define the value, test it early, then build for the environment it needs to live in.

Frame the problem

We map the workflow, data and constraints with your team, then agree on a useful outcome and how we will measure it.

step 01 of 03

Prove the approach

We build a focused first version and test it with real users and representative data before widening the scope.

step 02 of 03

Make it operational

We integrate, deploy and monitor the solution, document ownership and help your team adopt and improve it.

step 03 of 03

Bring us the problem,
not a perfect brief.

Tell us about the workflow, decision or bottleneck you want to improve. We’ll help identify a sensible first step and what a successful result would look like.

contact.json

{

"email": "petr@ngnlab.io",

"linkedin": "company/ngnlab-io",

"entity": "ngnlab.io s.r.o.",

"ico": "30036755",

"vat_id": "CZ30036755",

"register": "Municipal Court in Prague, section C, file 456275",

}

LinkedIn module — contact

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