Learn how we use fewer computing resources and reduce environmental costs to get your workflows done.
As AI computing requires a lot of energy, where it is carried out is as important as how it is carried out. You decide where your data extractions, automations and AI processing takes place.
Our AI runs on our own servers in Germany, on a grid that's cleaner than the global average. So even compute-heavy tasks stay low-impact.
Everything except AI processing runs on IONOS's European data centers with 100% renewable electricity.
Microbrains can run fully on your infrastructure and your existing environmental commitments carry straight over.
more energy is roughly used for the same task by the largest models than by the smallest.
According to a Study presented at PROFES 2025, The Price of Prompting: Profiling Energy Use in
of freshwater has been consumed to train GPT-3 in Microsoft's data centers.
According to a UC Riverside Study 2023
of the global server electricity demand was solely dedicated to AI in 2024.
According to International Energy Agency, Energy and AI report 2025
Not all AI is created equal and the footprint gap can be massive.
Most AI tools today are built around one idea: Every task is sent through the same massive, general-purpose system, regardless of whether AI is actually required. The method produces costs – for the environment and passed on to you.
We don't think that's smart and certainly not sustainable. While frontier chatbots and generic automation tools throw the same oversized model at every task, Microbrains matches the right AI to the right job.
Many steps in an industrial workflow, such as validating a field format or routing a document, do not require AI. Every AI call we skip saves computing power, energy and resources.
Using deterministic logic wherever sufficient
AI reserved for steps where it adds genuine value
Preconfigured logic for AI usage
Reducing the environmental footprint
Instead of routing every task through one large model, Microbrains matches each step to the smallest model capable of doing it well.
Mixture-of-Experts models
Specificly tailored LLMs and OCR Models
Faster answers and lower cost per run
Reducing the environmental footprint
Microbrains is built on preconfigured templates shaped by real industry knowledge. There is no need to train or fine-tune a new model from scratch to get started. Training a model from scratch is the most resource-intensive phase of AI.
Ready-made templates for specific use cases
Pretrained processors and AIs
No re-training for the industry needed
Reducing the costs for businesses and the planet
No credit card required. No 14-day countdown. Start free and stay free until you need more.
