MNMFP — Software Engineering

// DATA · AI · APPS · ANALYTICS

We turn complex data and ideas into intelligent systems that move the business.

MNMFP builds production software, AI-driven solutions, and the data platforms that power them. From Next.js applications and Node services to large-scale data pipelines and ML systems — we ship the engineering that turns messy infrastructure and ambitious ideas into measurable business value.

Software engineering · Data · AI

// 01 — SERVICES

What we do

Four lanes, one outcome: software, data and AI infrastructure that costs less, runs faster, and tells you something useful.

AI-Powered Development

Production web apps, internal tools and backend systems built with Next.js, Node and TypeScript — and AI woven into both the workflow and the product.

  • Next.js / React applications & marketing sites
  • Node, TypeScript & API/backend services
  • AI features (RAG, agents, copilots) shipped as product

Data Platform Optimization

We analyze and re-engineer complex data pipelines and analytics platforms to improve performance and cut resource consumption.

  • Optimization of large-scale data processing pipelines
  • Distributed workloads & big-data performance tuning
  • Reliability, scalability and infrastructure cost reduction

AI Solutions

We design and implement AI systems that turn raw data into actionable intelligence — from classical ML to deep learning.

  • Predictive analytics & ML model development
  • AI-assisted data processing pipelines
  • Computer vision, deep learning & intelligent automation

Analytics Services

We help teams understand their data and make decisions on it — from exploration to production-grade reporting.

  • Data exploration & statistical analysis
  • Real-time analytics & decision-support systems
  • Visualization and reporting frameworks

// 02 — PROCESS

How we work

A short loop between discovery and shipping, with no surprises in between.

  1. 01

    Discover

    We map your data, workloads, costs and goals in a focused kickoff sprint.

  2. 02

    Design

    Architecture, scope and success metrics on one page — no 80-slide decks.

  3. 03

    Build

    Weekly increments you can touch, with production-readiness baked in from day one.

  4. 04

    Iterate

    We measure, tune, and hand over — or stay on as your long-term engineering partner.

// 03 — WHAT WE DELIVER

What we deliver

Real outcomes from data, AI and analytics work. References available on request.

Performance

Data pipeline optimization

Improving the performance of large-scale data processing workflows to handle higher data volumes with lower infrastructure costs.

Capability — talk to us for a real reference

AI / ML

AI-powered data products

Generating insight and automation on top of compute-heavy workloads — predictive models, classifiers and intelligent pipelines.

Capability — talk to us for a real reference

Analytics

Real-time analytics platforms

Decision-support systems and reporting frameworks that surface what matters as it happens, not the morning after.

Capability — talk to us for a real reference

// 04 — STACK

Tools we trust

Modern, battle-tested, and chosen for outcomes — not hype.

  • TypeScript
  • Next.js
  • React
  • Node.js
  • tRPC
  • Tailwind
  • Python
  • PySpark
  • Databricks
  • Snowflake
  • dbt
  • Airflow
  • Postgres
  • PyTorch
  • scikit-learn
  • LangChain
  • OpenAI
  • Anthropic Claude
  • AWS
  • GCP
  • Vercel
  • Kubernetes
  • Docker
  • Terraform

// 05 — ABOUT

Engineering for software, data and the workloads that matter

MNMFP combines deep expertise in software engineering, big-data infrastructure, distributed computing, and artificial intelligence. We ship production applications in Next.js, Node and TypeScript, and we re-engineer the data and AI systems behind them to cut operational costs, increase processing efficiency, and unlock the insights hidden in data. Whether you need a new product, a faster pipeline, or an AI feature that actually works in production, we build reliable, scalable systems that move the numbers.

  • Pragmatic

    We pick the tool that fits the workload, not the one that trends on Hacker News.

  • Deeply technical

    Hands-on experience across data engineering, distributed systems, ML and modern cloud.

  • Outcome-driven

    We define success with you upfront — cost, latency, accuracy — and measure against it.

// 06 — CONTACT

Let's build something real

Tell us about your data, your workloads, or the AI problem you're trying to solve. We respond within one business day.

Email

mato.katkovcin@gmail.com

Drop us a line with a few sentences about what you're trying to build, fix or scale — we'll get back to you within one business day.

Founder

Martin Katkovcin

Slovakia · Worldwide