Extracts structured data from long documents such as annual reports and prospectuses. Every value links back to its source passage and is reviewed by a person.
FelixKrause
Founder & CTO at Klartext AIBoard at AIM – AI Impact Mission
My interests lie where philosophy, society, economics, and AI meet. I care about ethics and what makes a good life, and about the right amount of technology on the way there: more in some areas, less in others.
Ventures
Two products that grew out of our work at Klartext AI.
Makes PDFs accessible. AI drafts the tag structure, reading order, and alt text; a person reviews the result, which is validated against PDF/UA and WCAG.
At Klartext AI
As founder and CTO, I look after architecture and engineering practice. Most of our work is document handling and automating repetitive tasks with AI, with a human in the loop for review. Some of the systems we built:
Web Search Agent
Searches the live web, reads what it finds, and answers with citations.
Embedded Agents
Agents inside operational dashboards, with custom tools and people in the loop.
Reply Assistant
Reads a customer question and drafts a ready-to-send reply inside Outlook, grounded in reference books and past mail.
LLM Bias Watcher
Continuously measures how language models lean on political questions.
Hackathons & community
Events I organised with AIM, and challenges I took part in.
4th AIM Hackathon: Personal & Trustworthy Autonomous Agents
Led the event with BitGN: agents had to work reliably in a file-system workspace and reject malicious instructions hidden in the data they process.
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880 signups from 88 cities, 303 team submissions, and 30 participants on site in Vienna. The challenge focused on bounded tool use, prompt-injection resistance, and clear refusal behaviour.
Agentic AI Hackathon
Third AIM hackathon. Teams built multi-agent workflows with retrieval, tools, and orchestration for real-world tasks.
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Topics included agent routing, memory, tool integration, and evaluation, with solutions for research assistance, customer support, and structured content generation.
Put News Archives to Life — with Wiener Zeitung
With the Media Innovation Lab and Austrian Startup Summit: 24 participants built LLM and RAG tools on 87,000 Wiener Zeitung articles from 1998–2023.
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Teams worked on personalised news formats, fact-checking, bias classification, and information mapping for investigative journalism.
8th place, Enterprise RAG Challenge
Co-organised the TIMETOACT challenge on answering business questions over annual reports, and ranked 8th of 43 teams with my own submission.
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My pipeline used dedicated per-company agents with Gemini 2.0 Flash reading the full PDF in context, plus GPT-4o router and merger agents. A Docling + Qdrant retrieval variant with custom chunking performed similarly well.
Sustainability meets LLMs
First AIM hackathon. Teams built RAG systems on real ESG reports, including greenwashing detection and EU Green Deal benchmarking.
Earlier projects
Research and university work in deep learning, bioinformatics, NLP, and data visualisation.
Deep learning for protein-to-mRNA ratio prediction
Benchmarked sequence models for predicting protein expression across 29 human tissues. A codon-frequency MLP beat the sophisticated sequence architectures.
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Evaluated established and novel architectures, then tuned the most promising with secondary-structure features and unsupervised pretraining. Codon frequencies capture most of the signal relevant for PTR classification, in line with prior research.
Explainable mRNA degradation prediction
Predicted per-base degradation of mRNA vaccine sequences and explained predictions via attention weights. Secondary structure drives instability.
Federated learning with RNNs and LSTMs
Privacy-preserving energy forecasting for 50 households, matching centrally trained performance.
Deep reinforcement learning for smart grids
PPO agent managing solar, wind, storage, and grid trading in a microgrid to cut cost and raise renewable share.
Truck parking lot detection
Segmented truck parking lots on satellite images for logistics; LinkNet reached up to 75 % mIoU.