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Our path

Eight years on the way to deep tech.

Founded in 2018 as a consultancy for digital transformation, data and AI strategies. Since then, data spaces, research and our own products have been added. The goal for 2027: an explainable language model for critical domains.

Milestones 2018–2027

  1. 2018

    Foundation

    Johannes Bernhardt founds Bonn Consulting Group as a consultancy for digital transformation, data and AI strategies. A GmbH since 2023.

  2. from 2020

    Technology

    With Jan Redlich, the shift from consultancy to technology company begins. The first German energy data space is built for dena.

  3. from 2021

    Industry

    The dena-ENDA and NaLamKI data spaces. They give rise to impAI and empAI.

  4. from 2024

    Research

    Projects in Telangana, India. In 2026, two three-year BMFTR projects follow.

  5. from 2026

    Innovation

    Bonn Systems GmbH launches with Makor as its platform, with empAI and the mobility solutions. Hans‑Joachim Groß (COO) joins the leadership team and sets up the organisation professionally for further growth.

  6. 2027

    Deep Tech

    An explainable language model for critical domains, based on neurosymbolic AI and ontologies.

Industry

In data spaces, we work with industry.

Sovereign, standardised data exchange across company boundaries, following Gaia-X and IDSA.

Energy

dena-ENDA

Energy data space in dena’s Future Energy Lab, with ifok, Fraunhofer FIT and innogence. Use case Redispatch 3.0.

Agriculture

NaLamKI

AI services and a Gaia-X-compliant cloud platform for sustainable agriculture. BMWi innovation competition.

Deep Tech · Outlook 2027

A language model for critical domains that stays explainable.

Bonn Systems combines formal knowledge from ontologies and knowledge graphs with learning models. Our development goal for 2027: a language model that does not hallucinate and can explain why it recommends something.

Symbolic

Ontologies and knowledge graphs

+ Subsymbolic

Learning language models

= Neurosymbolic

Language model for critical domains