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A stage-by-stage map of which Berlin VCs actually write first checks, from pre-idea to a led seed round - check sizes, sector fit, source-quality grading for every claim, and which well-known brands have quietly changed identity or gone inactive.
Published in MotionLab Berlin IoT Bootcamp, 2023
Recommended citation: Mkhitaryan, D. (2023). Computer Vision-Based Motion Detection System for IoT Applications. MotionLab Berlin IoT Bootcamp Program.
Published in Google Hackathon - Jury Prize Winner, 2024
Recommended citation: Mkhitaryan, D. (2024). AI-Enhanced Visualization: Multimodal RAG System for Text-Image Data Integration. Google Hackathon, Jury Prize Winner.
Published in Innovis VC Research, 2024
Recommended citation: Mkhitaryan, D. (2024). Python-Based Startup Evaluation Framework: Data-Driven Analysis for Venture Capital. Innovis VC Research.
Published in Self-Study Project, 2025
Recommended citation: Mkhitaryan, D. (2025). LLM Fine-Tuning with LoRA: Efficient Parameter-Efficient Training for Domain Adaptation. Self-Study Project.
Published in Vento VC x Innovis VC, 2025
A project writeup on the Agentic AI Landscape Study, a Vento VC x Innovis VC collaboration structurally mapping 6,700+ agentic AI startups by orchestration architecture, memory systems, and tool-use patterns.
Recommended citation: Vento VC & Innovis VC (2025). Agentic AI Landscape Study.
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