Why Galilea

AI for the Midmarket – Simpler. Safer. Better.

Galilea is the powerful answer to today’s challenges: labor shortages, demographic shifts, and digitalization. Tailored to meet the needs of businesses across all industries.

01
Your experts leave, but your knowledge stays.
The German Ministry of Labor and Social Affairs (BMAS) predicts that 4.71 million experienced employees will retire by 2027. What happens to their expertise? Galilea preserves and centralizes knowledge so companies can retain and use it effectively.
02
AI steps in where skilled workers are missing.
Who will replace retiring employees and fill newly created positions when talent is limited? Galilea takes over. AI-powered automation of various processes increases individual efficiency and value creation—allowing fewer people to achieve more.
03
Centralizes data in one place – ready for GenAI
Most German companies have fragmented and inconsistent data, making it unusable for AI applications. Galilea automatically centralizes, structures, and secures data—so generative AI can seamlessly process and utilize it.
04
Guaranteed data privacy – “Made in Berlin”
Many companies hesitate to use AI with sensitive data. Developed and operated in Berlin and hosted in Germany, Galilea guarantees maximum data protection at every stage of processing: no third-party sharing, no data leakage from training sets.
05
Custom AI performance – without extensive development costs
Off-the-shelf AI often falls short, while custom-built solutions are expensive and complex. Galilea solves this dilemma by combining standard processes with customized development. The 80% foundation + 20% tailored approach is cost-effective and solution-efficient.
06
Use language models flexibly – without new investments
Many vendors, much uncertainty. Which AI models and Big Tech players will dominate? Galilea’s modular setup enables seamless upgrades and model swaps without effort, dependency, or data loss—ensuring you always have access to the best AI today, tomorrow, and beyond.
07
Half the effort. Twice the progress. Triple the impact.
No setup time, no complete rebuild: By providing a fully integrated RAG infrastructure, Galilea enables companies to implement tailored generative AI solutions with internal data up to 50% faster and at a lower cost.
08
We focus on commitment, not exit strategies.
Galilea is a product of PLAN D. As an owner-managed company, we are independent of anonymous investors and take long-term responsibility—for our clients, our team, and our products. We’ve been in business for 10 years—and we’re here to stay.
09
AI without hallucinations. Only facts
Integrating Knowledge Graphs (KG) into Retrieval-Augmented Generation (RAG) improves the Mean Reciprocal Rank (MRR) by 77.6%. Simply put: Generative AI depends on high-quality data and search capabilities. By combining knowledge graphs with generative language models, we enhance both—ensuring the best possible results.
9

Great Reasons for Galilea

4.71 mn
workers will retire by 2027
3.0 mn
fewer skilled workers by 2035
86 %
of German companies struggle with data silos
73 %
of German companies fear data privacy issues with GenAI
65 %
of German companies are disappointed with their initial AI results
0 %
certainty in choosing the right AI technology?
50 %
faster and more cost-efficient
41 %
of German companies worry about the longevity of tech startups
77 %
more precision with Knowledge Graphs
Contact

What can Galilea do for you?

Let’s find out. Book a free consultation and get concrete answers to your specific questions.

I have read the Privacy Policy and agree to it.

Thank you for getting in touch.
Something went wrong.

FAQ

Your Questions, Our Answers

01
How does Galilea protect against knowledge loss in times of demographic change?

Galilea stores, networks and structures your employees' knowledge centrally and for the long term. Even when experienced specialists leave the company, their know-how is retained and remains accessible to new team members.

02
How can Galilea compensate for the shortage of skilled workers in my company?

Galilea leverages your internal knowledge to automate recurring tasks using workflows, assistants, and agents. This increases efficiency and helps compensate for missing skilled workers.

03
Why is independence from individual LLM providers important and how does Galilea help?

The LLM market is evolving rapidly, and it’s unclear which providers will prevail in the long run. Locking into a single provider can hinder progress and lead to costly migrations. Galilea enables flexible use of different LLMs—without lock-in effects, data loss, or dependencies—keeping your organization technologically agile and future-proof.

04
How does Galilea save time and costs in the development of Gen-AI solutions?

Galilea provides a ready-to-use infrastructure for generative AI. Instead of developing each use case from scratch, we build on proven modules and interfaces, customizing them into tailored Gen-AI solutions. This approach saves time, reduces costs, and accelerates project execution.

05
Why is Galilea more trustworthy than venture capital-backed AI platforms?

We prioritize long-term partnerships over short-term scaling goals or exit strategies. As an independent, founder-led company, we ensure stability, transparency, and personal accountability. Your sensitive data is not only technologically but also commercially secure.

06
What are knowledge graphs and why are they important for knowledge management?

Knowledge graphs are structured networks that map information and their relationships. In knowledge management, they connect complex data, enabling generative AI to provide more precise, context-aware answers—grounded in facts rather than hallucinations.

ISO 27001
Enterprise-grade security
ISO 27001 (coming 2025)
German flag
KI Made in Germany
Highest standards. Clear values.
European flag
GDPR and AI Act compliant
Hosted in Europe
Demotermin buchen

What can Galilea do for you?

Let’s find out. Book a free consultation and get concrete answers to your specific questions.

I have read the Privacy Policy and agree to it.

Thank you for getting in touch.
Something went wrong.