Haus of Intelligence is an interdisciplinary institute based in Berlin that brings together computer scientists, cognitive psychologists, and domain experts to create intelligent systems that improve learning outcomes and workplace efficiency.
The organization was launched in March 2020 by Professor Lina Becker of the Technical University of Berlin together with entrepreneur Marco Feldmann, who provided seed capital of €1.2 million.
The institute focuses on four main pillars:
Funding comes from a mix of public grants, corporate sponsorships, and revenue‑sharing agreements. The table below summarizes the primary sources in 2023:
| Source | Amount (€) | Purpose |
|---|---|---|
| European Horizon 2020 | 2,500,000 | Adaptive Learning platform |
| Corporate partner (TechCorp) | 1,800,000 | Explainable AI toolkit |
| University research fund | 600,000 | Human‑AI collaboration pilots |
| Revenue from licensed tools | 450,000 | Maintenance and support |
Since its inception, Haus of Intelligence has delivered several high‑impact solutions:
Independent evaluations published in the Journal of Educational Data Mining (2022) report that LearnFlex improved average course grades by 0.35 GPA points. A 2023 OECD review cited the institute’s Explainable AI research as a benchmark for ethical AI curricula in secondary schools.
Collaboration follows a three‑step process:
Approximately 40 % of the institute’s codebases are released under the Apache 2.0 license on GitHub. The remaining proprietary components are shared with partners under strict confidentiality clauses.
The official website (www.hausofintelligence.org) hosts detailed project pages, a public research repository, and a quarterly newsletter that outlines upcoming workshops and funding calls.
Haus of Intelligence builds its solutions on open‑source frameworks such as PyTorch, TensorFlow, and JAX, while leveraging transformer architectures like BERT, T5, and the newer GPT‑4‑style models. For data preprocessing it uses Apache Spark 3.4 and the Hugging Face Datasets library, enabling parallel processing of terabyte‑scale corpora.
Since 2021 the institute has operated a GPU cluster consisting of 64 NVIDIA A100 40 GB units, complemented by 12 AMD EPYC 7742 CPUs for data‑ingestion tasks. The cluster is managed with Slurm and integrated into the European High‑Performance Computing Network (EuroHPC), giving access to up to 5 PFLOPS of compute during peak research periods.
Strategic plans released in September 2024 outline three flagship programs:
The institute follows a four‑step ethical framework aligned with the EU’s Trustworthy AI Guidelines. The steps are:
Since 2021 the institute has earned several awards:
Universities submit a concise project brief through the institute’s online portal, undergo a joint feasibility study with the technical team, and then sign a co‑development agreement that outlines IP sharing, milestones, and funding.
LearnFlex is offered under a tiered licensing model; for institutions with fewer than 5,000 students the annual fee is €12,000, which includes hosting, support, and quarterly updates.
Approximately 40 % of its code and datasets are released under Apache 2.0 on GitHub, and the institute regularly publishes peer‑reviewed papers in open‑access journals and conferences.
The suite is scheduled for a full 1.0 public release in early 2025, following a beta phase that began in September 2024 with contributions from industry partners.
Each model undergoes risk assessment, stakeholder review, transparency reporting with public model cards, and continuous post‑deployment monitoring using automated fairness metrics.
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