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DATANOMIQ — DATA · AI · ENGINEERING
BERLINDATA · AI · ENGINEERINGSINCE 2015

Unlock data-driven success — with a radical engineer mindset.

We turn ideas into scalable digital products. Data & AI, software engineering, and modern infrastructure — co-built with your team, shipped in weeks not years.

FIG. 01VALUE ENGINEERING
A structured, data-driven approach: prioritize high-impact use cases, validate ideas early, scale only what works.
500+
Projects shipped
10+
Years experience
4wk
To first value

— Trusted by teams shipping in regulated & complex environments

VattenfallMerckThyssenkruppBSHFunke MediengruppeTKMSTrench GroupVattenfallMerckThyssenkruppBSHFunke MediengruppeTKMSTrench Group
2015
— Founded in Berlin
500+
— Projects shipped
10+
— Years shipping
4wk
— Avg. time to first value

SERVICES

From strategy to shipped software.

Tailored solutions across data, AI, engineering, and infrastructure — built for measurable business impact, not slide decks.

01
Strategy → production

AI & Data Solutions

AI Product Development

Design and build AI-powered products that create real business value — from idea to production.

  • —AI strategy & use case identification
  • —Prototyping and feasibility validation
  • —End-to-end AI product development
  • —ML, data engineering, deployment & monitoring

Data Strategy & Analytics

Build a strong data foundation and turn data into actionable insights.

  • —Data strategy and roadmap
  • —Business intelligence & dashboards
  • —Data platform architecture
  • —Advanced analytics & forecasting

Process Mining

Gain full transparency into your processes and uncover optimization potential.

  • —Process discovery & visualization
  • —Bottleneck and inefficiency detection
  • —Benchmarking, cost & risk analysis
  • —Continuous process improvement
02
Ship faster

Software & Agentic Engineering

Software Engineering

Production-grade systems shaped around your business — full-stack products, APIs, integrations, and cloud-native platforms built to evolve.

  • —Full-stack application development
  • —APIs, backends, and integration with existing systems
  • —Cloud-native delivery on all major providers (AWS, GCP, Azure)
  • —Tests, reviews, and production-ready delivery

Agentic Engineering

AI-assisted coding with Claude Code, Cursor, and peers — faster delivery with reviews, tests, and observability intact. Cloud or on-premises LLMs; we use the same toolchain when we build for you.

  • —Modern AI coding assistants and team workflows
  • —Cloud and on-premises LLMs where policy fits
  • —Hands-on enablement on your stack and codebase
03
Reliable delivery

DevOps & Infrastructure

DevOps Engineering

Fast, reliable, scalable software delivery — CI/CD, IaC, cloud (AWS, GCP, Azure), observability, security.

04
Upskill your team

Training & Enablement

Workshops & Training

Hands-on enablement in AI/ML, data engineering, analytics, software practices, and process mining.

Agentic engineering

Ship faster with AI-powered engineering.

We embed agentic workflows into your team's delivery process — AI agents that draft code, review pull requests, generate documentation, and orchestrate tasks. Whether you're just starting or scaling, we help your team accelerate with AI-powered engineering from day one.

0
production agents
0
years shipping
0+
specialists

PRINCIPLES

Six principles. No bullshit bingo.

We don’t just talk about impact — we build it. These principles guide how we work with every client.

01 —

Customer Obsession

Relentlessly focused on delivering value to our customers — everything else is secondary.

02 —

No Bullshit Bingo

We speak openly — even when it’s uncomfortable. We focus on what actually works, not what sounds good.

03 —

Let’s Do It Mentality

We move fast, ship fast, and avoid unnecessary overhead. Less slides, more building.

04 —

Empathy Over Ego

We listen first, collaborate closely, and leave egos at the door.

05 —

Build for Impact

High-value use cases and measurable outcomes — not vanity projects.

06 —

Be Radically Curious

We challenge assumptions, ask hard questions, and aim to deeply understand problems.

METHOD

Ship an MVP in 4 weeks. Then scale what works.

We move fast on what matters: a working MVP in your hands within a month, then we scale it together — with a proper handover so your team owns it.

STEP 01 / DISCOVER

Find the use case worth doing.

We sit with your team, map the workflow, and identify the highest-leverage problem. No bullshit bingo.

WEEK01
STEP 02 / VALIDATE

Prototype before we promise.

Spike the hardest part first. Real data, real constraints, real users. Kill it early if it doesn't pencil.

WEEK02
STEP 03 / SHIP MVP

An MVP in your hands by week four.

Engineering for production from day one. Tests, observability, security — the boring grown-up parts. End of week four you have something real to use.

WEEK03–04
STEP 04 / SCALE & HANDOVER

Scale together. Then hand it off.

From week five we scale what works alongside your team — adding capacity, hardening, integrations. We document, train, and hand over so your team fully owns it.

WEEK05+

INDUSTRIES

Where we go deep.

Domain depth in regulated and operationally complex environments — solutions shaped around your reality, not a generic playbook.

  • 01Energy
  • 02Banking & finance
  • 03Insurance
  • 04Manufacturing
  • 05Defense & aerospace
  • 06Construction
  • 07Retail & ecommerce
FOCUSENERGY

Energy

Forecasting, asset analytics, and operational transparency across production and the grid.

Industry brief →

CASE STUDY · MANUFACTURING · ENTERPRISE AI

From document chaos to AI-powered knowledge at scale.

A large industrial engineering company struggled with knowledge management across thousands of specifications, purchasing, and sales documents. We built a multi-layer Enterprise AI system using document vectorization and LLMs — with a comprehensive governance layer that keeps institutional knowledge accessible despite team changes.

75%
— Faster document comparison
8wk
— From kickoff to prod
3x
— Knowledge retention
Manufacturing · Enterprise AI
—FOCUS
Manufacturing · Enterprise AI
They show up like an internal team — pragmatic, honest about trade-offs, and fast. Three weeks in we had a working pipeline, not a slide deck.
— Head of Data PlatformTop-3 European industrial group
—PARTNER WITH US—

Ready to move faster?

Tell us what you’re building. We’ll help you go from idea to production with clarity and speed.

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