Blockbrain grabs €17.5M to make sure companies never lose their ‘secret sauce’ again.

Stuttgart-based AI startup Blockbrain has secured €17.5 million in Series A funding to expand its enterprise knowledge AI platform across Europe and the UK. The round was led by Alstin Capital and 13books Capital, with participation from HARTING Family Foundation, Giesecke+Devrient Ventures, LBBW Ventures and Mätch VC.

The funding follows a period of rapid growth for the company, which reports a fivefold increase in revenue in 2025 and a growing client roster that includes Bosch, Roland Berger and Kärcher.

Turning lost expertise into structured intelligence

As experienced employees leave organisations, companies often lose tacit knowledge, informal processes and decision-making logic that are rarely documented. Rebuilding that expertise can be costly and time-consuming, particularly in regulated or highly specialised industries.

Founded in 2022, Blockbrain addresses this challenge by creating digital knowledge twins and AI-powered Knowledge Bots that capture expert input and translate it into structured, searchable and operational intelligence.

The platform enables companies to extract both structured and unstructured data, index it precisely and deploy no-code AI agents that can automate research, onboarding and internal advisory workflows. According to logistics provider Seifert Logistics, using Blockbrain’s system saves approximately 15 percent of working time per week.

Focused on knowledge AI for regulated enterprises

Blockbrain was founded by Antonius Gress, former Bosch executive and now CEO, alongside CTO Mattias Protzmann, co-founder of Statista, and Honza Ngo, a venture professional with experience at Antler and WHU.

The founding team positions Blockbrain within the next wave of enterprise automation: moving beyond robotic process automation toward the automation and augmentation of knowledge work.

Rather than relying solely on large language models, Blockbrain invests heavily in what happens before the model layer. Its core intellectual property lies in knowledge extraction, indexing and retrieval. By structuring enterprise data accurately before it reaches an LLM, the company aims to reduce hallucinations and deliver more reliable outputs.

The platform is multimodal and model-agnostic, allowing customers to choose compliant AI models that meet strict baseline requirements. Blockbrain enforces these standards both technically and contractually, supporting enterprises that require data sovereignty and regulatory compliance.

Built for high-stakes environments

Blockbrain’s Knowledge Bots are designed to comply with GDPR, ISO 27001 and EU AI Act standards. The company emphasises data control, vendor independence and secure deployment for businesses operating in sensitive sectors.

In a security assessment conducted by Giesecke+Devrient, Blockbrain reportedly scored 92 out of 105, significantly outperforming the next closest competitor.

This focus on compliance and accuracy differentiates Blockbrain from general-purpose enterprise AI tools. While mainstream AI assistants may struggle with data governance in regulated environments, Blockbrain targets use cases where precision, traceability and oversight are critical.

Growth plans after €17.5M Series A

With fresh capital secured, Blockbrain plans to expand across the European Union and the United Kingdom, accelerate product development and hire additional on-site AI engineers.

The company is also developing specialised research automation agents and exploring new enterprise use cases in sales enablement, manufacturing knowledge transfer and employee onboarding.

As industries across Europe face demographic shifts and talent shortages, the ability to preserve institutional knowledge and convert it into scalable digital assets is becoming a strategic priority. By positioning its knowledge AI platform as a competitive advantage rather than a productivity add-on, Blockbrain aims to become a core infrastructure layer for expertise-driven organisations.

A diverse and international team

Blockbrain highlights the international composition of its team, with employees and freelancers from across Europe and countries including Indonesia, Vietnam and Iran. As the company scales, it plans to introduce more structured diversity tracking while maintaining a broad cultural and professional mix.

With €17.5 million in new funding and increasing demand for enterprise knowledge AI solutions, Blockbrain is entering its next growth phase focused on transforming tacit expertise into a measurable and defensible business asset.

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    Ujwal Krishnan is an AI and SEO specialist dedicated to helping UK businesses navigate and strategize within the ever-evolving AI landscape. With a Master's degree in Digital Marketing from Northumbria University, a degree in Political Science, and a diploma in Mass Communication, Ujwal brings a unique interdisciplinary perspective to the intersection of technology, business, and communication. He is a keen researcher and avid reader on deep tech, AI, and related innovations across Europe, informed by their valuable experience working with leading deep tech venture capital firms in the region.

By Ujwal Krishnan

Ujwal Krishnan is an AI and SEO specialist dedicated to helping UK businesses navigate and strategize within the ever-evolving AI landscape. With a Master's degree in Digital Marketing from Northumbria University, a degree in Political Science, and a diploma in Mass Communication, Ujwal brings a unique interdisciplinary perspective to the intersection of technology, business, and communication. He is a keen researcher and avid reader on deep tech, AI, and related innovations across Europe, informed by their valuable experience working with leading deep tech venture capital firms in the region.