When experienced employees leave, companies often lose important know-how, decision-making skills, and processes. This can lead to lower productivity and expensive rebuilding, especially in industries that rely on expertise and face talent shortages.
Blockbrain, a Stuttgart-based company, tackles this problem with an AI platform that quickly builds digital knowledge twins and AI agents called Knowledge Bots from expert input. These bots help share expert knowledge across teams and keep information accurate and secure. For example, Seifert Logistics says it saves 15% of its time each week.
Blockbrain recently raised €17.5M ($18.5M) in Series A funding, led by Alstin Capital and 13books Capital, with support from HARTING Family Foundation, Giesecke+Devrient Ventures, LBBW Ventures, and Mätch VC.
After growing revenue five times in 2025 and adding clients such as Bosch, Roland Berger, and Kärcher, Blockbrain plans to use the new funds to expand in the EU and the UK, invest in product development, and hire more AI engineers.
Turn tacit expertise into a “calculable competitive advantage”
Founded in 2022, Blockbrain brings together Antonius Gress (ex-Bosch, CEO), Mattias Protzmann (CTO, co-founder of Statista), and Honza Ngo (VC pro with stints at Antler and WHU).
Founders share with TFN, “We observed a major shift: after years of automating transactional work (e.g. via RPA), the next frontier is the automation and augmentation of knowledge work. We started the company to build “knowledge AI” that can turn both structured and unstructured data into a true competitive advantage, and to help organisations make their internal knowledge their most important strategic asset.”
Blockbrain’s goal is to turn hidden expertise into a “calculable competitive advantage” with no-code AI agents, helping regulated industries work more efficiently. The company wants to make enterprise AI reliable for key business tasks and keep data fully under its control.
Blockbrain’s platform builds Knowledge Bots that meet GDPR, ISO 27001, and EU AI Act standards, using a flexible system that avoids vendor lock-in and keeps data secure. The technology captures expert thinking, leverages backup systems for reliability, and automates tasks such as research and onboarding. In Giesecke+Devrient’s security test, Blockbrain scored 92 out of 105, much higher than the next best score of 58.
“A core part of our IP lies in what happens before the LLM: knowledge extraction, indexing and retrieval. This “boring” but hard problem is where we have invested heavily. By structuring and retrieving knowledge precisely, we significantly reduce hallucinations and deliver high-quality, reliable answers,“ the founders elaborate.
They add, “Our platform is multimodal and model-agnostic: customers can choose the AI models that best fit their needs, as long as they meet our strict baseline. These guarantees are enforced both technically and contractually. Combined with an end-user-centric UX, this makes our platform particularly attractive for enterprises that care about usability and sovereignty in equal measure.”
What sets Blockbrain apart? Error-free outputs, lightning-fast digital twins, and serious controls for businesses that can’t risk a slip-up. While general AI tools like ChatGPT Enterprise or Microsoft Copilot can trip up on data security, Blockbrain is made for high-stakes environments where oversight is everything.
What about diversity?
On diversity, founders note, “Our employees and freelancers come from across the globe, including countries such as Indonesia, Vietnam and Iran, alongside a strong European core. We also have women across different parts of the organisation. As we scale, we are putting more structure around tracking and improving diversity, but the team is already shaped by a broad range of cultural and professional backgrounds.”
What’s next for Blockbrain?
With fresh funding in hand, Blockbrain is set to ramp up security and compliance, roll out specialised research automation agents, and expand across the EU and UK. The team is hiring on-site AI engineers and exploring new use cases in sales, manufacturing, and onboarding.
