A drone flies a grid pattern over a pipeline. A satellite passes overhead. A fixed camera watches a port gate. For the operators of critical infrastructure, this creates a flood of visual data that is often disconnected, slow to analyze, and expensive to interpret. Arkensight, a Zagreb-based startup founded in 2023, is building an AI layer to fuse those feeds into a single, queryable intelligence network [Silicon Gardens, 2026]. The bet is that asking a simple question about your assets should be as easy as asking a search engine.
The Natural Language Wedge
The company’s core product is a SaaS platform that ingests visual data from drones, satellites, ground cameras, and vehicles. Its primary differentiator is a natural language interface. Instead of manually tagging images or writing complex detection scripts, a user can ask, “Show me all corrosion points on the north section of the pipeline from the last month” or “Has any unauthorized vehicle entered the perimeter since yesterday?” [Perplexity Sonar Pro Brief, Unknown]. The platform returns analyzed results, aiming to turn months of inspection data into actionable insights in minutes [Arkensight, Unknown]. This human-in-the-loop approach, where AI flags anomalies for expert verification, is designed for environments where a missed crack or an intruding vessel carries significant financial or safety risk.
A Team Built on Drones and AI
The founding team combines domain experience in unmanned systems with deep technical AI chops. Brothers Domagoj Ćorić (CEO) and Bruno Ćorić (CTO) lead the company, which was formerly known as Thorondrone [Financije.hr, 2026]. Domagoj was previously co-founder and CEO of that drone-focused venture, giving him direct insight into the data collection challenges of the industry [Jutarnji list, 2026]. Bruno brings over two years of professional experience as an AI engineer at Photomath, specializing in computer vision and natural language processing [nuqleus.io, 2026]. The third co-founder, Luka Studen, serves as Commercial Director. The trio were jointly recognized as Founders of the Year in 2025 [LinkedIn, 2026].
| Role | Name | Key Background |
|---|---|---|
| CEO & Co-Founder | Domagoj Ćorić | Co-founder & former CEO of Thorondrone. |
| CTO & Co-Founder | Bruno Ćorić | Former AI engineer at Photomath (computer vision, NLP). |
| CCO & Co-Founder | Luka Studen | Commercial Director; won the startup conference Zagreb Slush'D. |
The Early Capital and Its Backers
In January 2025, Arkensight secured a $600,000 pre-seed round to scale its product development and go-to-market efforts [Preqin, Unknown]. The lead investor was Silicon Gardens, a venture firm that cited the startup’s potential to create a “unified intelligence layer” for fragmented visual data [Silicon Gardens, 2026]. The round also included participation from serial entrepreneur Damir Sabol, as well as investors nucleus and Zicer [Netokracija, 2026]. This early capital positions the company in a capital-efficient Eastern European tech hub, allowing it to refine its AI models and pursue initial pilot deployments with infrastructure operators before seeking a larger round.
Navigating a Crowded Field of Vision
The ambition to analyze visual data for infrastructure is not uncharted territory. The competitive landscape includes large geospatial analytics firms, established industrial IoT platforms, and a growing number of AI-centric computer vision startups. Arkensight’s path to standing out hinges on execution in three specific areas:
- The integration burden. The promise of a unified view is only as good as the platform’s ability to connect to a heterogenous mix of drone software, satellite data providers, and legacy camera systems. Each integration represents a technical and commercial hurdle.
- Accuracy at scale. For critical infrastructure, false positives are a costly nuisance and false negatives are unacceptable. Proving the reliability of its AI models in diverse, real-world conditions,different weather, lighting, and asset types,is a fundamental requirement for enterprise sales.
- Defining the beachhead. While the platform is broadly applicable to “critical infrastructure,” early focus is crucial. A concentrated win in a vertical like maritime port monitoring or energy transmission could provide the referenceable case studies needed to expand horizontally.
The company’s pre-seed valuation remains undisclosed, but the $600,000 check from Silicon Gardens and Damir Sabol signals a belief that the team’s blend of drone industry knowledge and AI engineering can carve out a niche [Preqin, Unknown]. The question for the next twelve months is whether Arkensight can convert its integrated visual intelligence demo into a paid deployment with a named port authority, utility, or pipeline operator.
Sources
- [Silicon Gardens, 2026] Silicon Gardens invests in Arkensight to power the future of visual intelligence | https://www.silicongardens.com/news/silicon-gardens-invests-in-arkensight-to-power-the-future-of-visual-intelligence
- [Perplexity Sonar Pro Brief, Unknown] Arkensight company brief | Snippet from research
- [Arkensight, Unknown] Arkensight | AI-Powered Infrastructure Monitoring | https://arkensight.com/
- [Financije.hr, 2026] Article referencing company history | Snippet from research
- [Jutarnji list, 2026] Article referencing founder background | Snippet from research
- [nuqleus.io, 2026] Team profile for Bruno Ćorić | Snippet from research
- [LinkedIn, 2026] Founder profiles and recognition | https://hr.linkedin.com/in/domagoj-coric-b64a1b194
- [Preqin, Unknown] Arkensight Asset Profile | https://www.preqin.com/data/profile/asset/arkensight/779871
- [Netokracija, 2026] Suosnivač Photomatha i Microblinka: Zašto smo uložili 600.000 eura u Arkensight | https://www.netokracija.com/arkensight-izet-zdralovic-domagoj-coric-investicija-silicon-gardens-234867