AI engineering · Berlin
We build with AI at the core.
NodeByNode is a Berlin company deeply focused on artificial intelligence – everything we build has AI at its core. Building AI-based products in very different fields has given us deep, hands-on experience. That experience is what we bring to other companies as AI services.
Our work
Three fields, three kinds of AI
In every field we work in, AI is at the core – but each problem asked for a different kind of AI.
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Nebatic
Buildings · IoT and AI
IoT and AI for buildings – healthier for people, lower in cost.
Nebatic connects sensors and existing building data with AI models. Around the clock it balances indoor climate, energy use and building systems – for healthier rooms and more efficient operation.
Visit Nebatic ↗ -

Fact & Feeling
Healthcare buildings · room intelligence
AI models that understand each space and how it is used.
Fact & Feeling brings room intelligence to clinics, care homes and practices. Its AI models take into account the floor plan, how each space is used and live data – so every room can be run for the people in it.
Visit Fact & Feeling ↗ -

Kernmoment
Architecture offices · AI transition
Supporting architecture offices in their AI transition.
Kernmoment brings AI into architecture offices along the HOAI phases – with checks based on the rules of the trade, several AI models compared and a source for every result. The office reviews and decides.
Visit Kernmoment ↗
Services
AI services, from the first idea to everyday operation
Four services that build on each other. Start where you are – with a question, a system to improve or a product to build.
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AI Consulting
Find out where AI pays off – and how to start.
From the first question to a clear plan: we find the use cases worth doing, check your data, tools and team, clarify data protection and the EU AI Act – and train your people.
More about AI Consulting →Your valueYou know where AI pays off before you spend money on it – with a plan your team can follow.
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AI Engineering
Build AI into your systems and workflows.
From the right model to a system in daily use: AI agents with human approval, knowledge and document AI with sources, multi-model checks and custom models – connected to the software and data you already have.
More about AI Engineering →Your valueAI that works inside your everyday workflows, with results you can check – not a demo that stays a demo.
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Managed AI
Keep AI running, reliable and up to date.
From launch to everyday reliability: we watch quality and cost, update your system when models change, fix what breaks and add new use cases as you grow.
More about Managed AI →Your valueAI that stays reliable and affordable over time – looked after by a team that knows your system.
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AI Products
Turn an idea into an AI product people use.
From idea to launch: product discovery, prototype and MVP, connected products that combine device, software and model – and improvement after launch.
More about AI Products →Your valueA partner who has built AI products of its own and knows the way from first prototype to real users.
Approach
Four principles behind everything we build
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Secure
We decide with you which data goes where – in line with GDPR and the EU AI Act – before any AI touches it.
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Precise
Clear rules instead of open questions, several models where it matters, and a source for every answer.
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Economical
The right model for each task, so running costs stay small while the AI does real work.
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Tailored
We choose from what the market offers and adapt it to your systems and your people – no one-size-fits-all.
Insights
How we build AI that works
- ArticleAI agents with human approval: how they should work in a companyAgents can take real work off a team. The key is clear limits: what the agent may do on its own, and where a person decides.
- ArticleWhat AI should cost: the right model for each taskNot every task needs the largest model. Choosing the right model for each step keeps running costs small while the AI still does real work.
- ArticleWhy we ask more than one AI modelAn AI answer can sound sure and still be wrong. Asking several models – and showing where they disagree – makes critical answers more reliable.
Let's talk about your AI project.
Tell us what you want to achieve. We'll tell you honestly where AI helps – and where it doesn't.
Write to [email protected]