[URGENT] Co-Founder for AI Drones for Critical Infrastructure (BSS Batch III)

Critical infrastructure (bridges, transit networks, utility grids) faces prolonged downtime, high safety risks, and escalating maintenance costs. Delayed inspections lead to catastrophic real-world failures, such as the collapse of Dresden's Carolabrücke, costing societies and economies millions.

Solution? An AI-powered drone ecosystem for inspection. By combining machine learning analysis with modular payload systems compatible with various drone sizes, we provide infrastructure operators with fast, safe, and cost-effective monitoring in both urban and rural environments.

I am looking for a spot in the Berlin Start-up Scholarship (Batch III) and seeking two hands-on co-founders:

  • Co-Founder — Machine Learning / AI Lead: Expertise in computer vision, image processing, and predictive analytics to build our core inspection software.

  • Co-Founder — Business & Operations Lead: Skilled in business development, fundraising, go-to-market strategy, and customer acquisition.

Driven to solve high-impact, real-world problems? DM me on LinkedIn to connect or apply below! ≡≡≡≡≡About me≡≡≡≡≡

I’m Georgy, a TU Berlin Aerospace Engineering master’s graduate passionate about building advanced drone tech. I’ve spent the last year bringing a new concept to life, and I’m now looking to bridge a few skill gaps to help accelerate its growth.

GK

Georgy Kalandadze

Details

An end-to-end solution delivers a complete, seamless experience from initial input to final execution, eliminating operational friction by managing every phase of a workflow within a single framework. By remaining mission-independent, the core platform functions free from rigid domain constraints, making it equally capable whether deployed for space operations, defense, industrial automation, or commercial logistics. This versatility is driven by a modular ecosystem

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About the startup project

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Hraes is a B2B industrial technology startup developing a modular drone ecosystem designed specifically for infrastructure inspection. The platform combines plug-and-play modular hardware with proprietary flight planning, AI-driven data evaluation, and future swarming capabilities to replace expensive, slow, and hazardous traditional inspection methods. Rather than selling isolated hardware, Hraes delivers an end-to-end operational solution targeting critical infrastructure sectors like bridges, railways, energy grids, and construction sites.

Location of the start-up project.

Berlin

About the Job

As a Co-Founder, you'll either lead core AI development for structural damage detection, or drive business strategy, operational growth, and investor relations to scale the company.

As Co-Founder and AI Lead, you will be the technical architect behind our core product, driving the strategy and development of advanced AI models. Your primary focus will be designing computer vision and time-series algorithms capable of detecting structural damage and tracking physical changes over time with high accuracy. You will build scalable data pipelines, manage the end-to-end Machine Learning Lifecycle (MLOps), and ensure our technical infrastructure is robust, secure, and production-ready. With further development of the product you will drive the future of the software setup, shape the company tech culture and be the voice of our AI solution when talking to customers and investors. As Co-Founder and Business Lead, you will own the commercial narrative, operational strategy, and capital-raising strategy to scale the company. You will take charge of building our go-to-market strategy, identifying target industries, and securing our first commercial clients and strategic partners. Your day-to-day focus will involve managing financial operations, structuring business models, and ensuring our team operates with maximum speed and alignment. You will also lead investor relations, crafting our pitch, leading fundraising rounds, and cultivating relationships with venture capital firms.

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