Arkensight

Cover Block

PUBLIC

Name	Arkensight
Tagline	AI-powered platform turning visual data from drones, satellites, and cameras into real-time intelligence for critical infrastructure. [Arkensight]
Headquarters	Zagreb, Croatia
Founded	2023
Stage	Pre-Seed
Business Model	SaaS
Industry	Deeptech
Technology	AI / Machine Learning
Geography	Eastern Europe
Growth Profile	Venture Scale
Founding Team	Co-Founders (3+)
Funding Label	Pre-seed (total disclosed ~$600,000) [Preqin], [tportal, 2026]

Links

PUBLIC

Confirmed public links for the company are listed below.

• Website: https://arkensight.com/
• LinkedIn: https://www.linkedin.com/company/arkensight

Executive Summary

PUBLIC

Arkensight is building an intelligence layer for critical infrastructure by applying multimodal AI to the fragmented visual data collected from drones, satellites, and ground cameras, a bet that merits attention for its focus on a high-value, data-rich industrial niche [Silicon Gardens]. Founded in 2023 as a pivot from the drone company Thorondrone, the Croatian startup has developed a SaaS platform that allows users to query this visual data with natural language, aiming to transform months of inspection work into minutes of analysis [Arkensight]. The founding team combines domain-specific experience with technical pedigree. CEO Domagoj Ćorić previously co-founded Thorondrone, providing direct exposure to the drone operator market, while CTO Bruno Ćorić brings AI engineering experience from roles at Google and Photomath [Crunchbase]. The company secured a $600,000 pre-seed round in early 2025, led by local venture firm Silicon Gardens, which provides runway to refine its product and initial go-to-market [Preqin, tportal]. Over the next 12-18 months, the key milestones to watch are the transition from technical demonstration to named commercial deployments in maritime or industrial monitoring, and the validation of its natural-language interface as a genuine productivity wedge against more manual analysis tools.

Data Accuracy: YELLOW -- Core company facts and funding are corroborated by multiple sources; some team background details are from single-source profiles.

Taxonomy Snapshot

Axis	Classification
Stage	Pre-Seed
Business Model	SaaS
Industry / Vertical	Deeptech
Technology Type	AI / Machine Learning
Geography	Eastern Europe
Growth Profile	Venture Scale
Founding Team	Co-Founders (3+)
Funding	Pre-seed (~$600,000)

Company Overview

PUBLIC

Arkensight is a Zagreb-based AI startup that emerged in 2023 from a pivot of its predecessor, Thorondrone. The company was founded by brothers Domagoj and Bruno Ćorić, alongside Luka Studen, to build a platform that transforms distributed visual data into a unified intelligence layer for infrastructure monitoring [Silicon Gardens]. The pivot from a drone-focused entity to an AI-powered analytics platform was formalized in early 2025, coinciding with its pre-seed funding announcement [Financije.hr, 2026].

Key milestones trace a path from concept to initial capital. The company was selected as one of the top 40 Eastern European startups to compete in the Spotlight 2024 event, indicating early validation within the regional tech ecosystem [How to Web]. In January 2025, Arkensight secured a $600,000 pre-seed round led by Silicon Gardens, with participation from angel investor Damir Sabol and others, to scale its product development [tportal, 2026]. More recently, the team has engaged in public discourse on AI's future, with CEO Domagoj Ćorić participating in a panel at Slush’D Zagreb and being recognized, along with his brother, as Founder of the Year 2025 [LinkedIn, 2026].

Data Accuracy: GREEN -- Confirmed by Crunchbase, Silicon Gardens, and LinkedIn.

Product and Technology

MIXED Arkensight's core product is a software platform that ingests visual data from disparate sources and applies AI to generate intelligence for infrastructure operators. The company's website frames the value proposition as a reduction in analysis time, claiming it can "transform months of infrastructure inspection data into actionable insights in minutes" [arkensight.com]. The platform is designed to accept inputs from drones, satellites, ground cameras, and other vehicles, connecting them into what lead investor Silicon Gardens calls a "unified intelligence layer" [Silicon Gardens].

Functionally, the system appears to center on a natural-language interface. Users can ask questions of their visual datasets to automate tasks like object detection, geolocation, and change tracking [Perplexity Sonar Pro Brief]. The output is described as a "living map" of infrastructure, suggesting a dynamic, queryable spatial database built from imagery [arkensight.com]. A key operational detail is the inclusion of "human-in-the-loop verification," indicating the AI's outputs are not fully autonomous but are designed to augment human analysts [arkensight.com]. The technology stack is described as leveraging "multimodal AI to fuse natural language, vision, and drone sensory data" [How to Web].

• Core Workflow. The platform processes distributed visual data, applies AI analysis, and presents findings through a queryable interface, with human review integrated.
• Key Differentiators. The natural-language query capability over fused multimodal data sources is the primary technical wedge cited by sources.
• Tech Stack (inferred from job postings). The single open role for a Software Engineer, while undefined, suggests ongoing development in core platform engineering. The founders' backgrounds in computer vision (Photomath) and drone systems (Thorondrone) provide technical credibility [Crunchbase], [nuqleus.io].

Data Accuracy: YELLOW -- Product claims are sourced from the company website and investor materials; technical capabilities are described but lack third-party technical validation or detailed case studies.

Market Research

PUBLIC The market for automated infrastructure monitoring is being reshaped by the convergence of cheap visual sensors and advanced AI, moving analysis from periodic human review to continuous, queryable intelligence.

Quantifying the total addressable market for AI-powered visual intelligence is challenging due to its cross-sector nature, but analogous markets provide a proxy. The global market for drone data services, a core input for Arkensight, was valued at $13.9 billion in 2023 and is projected to grow to $54.6 billion by 2030, according to a Grand View Research report [Grand View Research, 2023]. The broader infrastructure inspection market, encompassing energy, transportation, and utilities, is measured in the hundreds of billions. While a specific TAM for Arkensight's natural-language query layer is not publicly defined, the company's focus on critical infrastructure places it within these substantial, established spending categories.

Demand is driven by several clear tailwinds. Aging infrastructure in developed economies requires more frequent and detailed inspection, a task often dangerous and costly for human crews. Simultaneously, the proliferation of drones, satellites, and fixed cameras has created a data deluge that outstrips manual analysis capacity. A third driver is the regulatory push for more stringent safety and environmental monitoring, particularly in sectors like energy and maritime logistics. These forces create a need for platforms that can not only detect anomalies but contextualize them across time and geography.

Adjacent and substitute markets include traditional engineering inspection services, manual data review consultancies, and point-solution software for specific sensor types (e.g., drone flight planning software, satellite imagery analysis tools). The competitive threat is not merely displacement but integration, as incumbents may seek to add similar AI capabilities to their existing offerings. The regulatory environment is generally favorable, with aviation authorities increasingly defining rules for commercial drone operations, which enables more predictable data collection workflows. However, data sovereignty and privacy regulations, especially in Europe, could impose constraints on where visual data is processed and stored.

Drone Data Services (2023) | 13.9 | $B
Drone Data Services (2030 est.) | 54.6 | $B

The projected near-tripling of the drone data services market by 2030 underscores the raw material growth for a platform like Arkensight. The key question is what portion of this spend will shift from basic data capture to advanced, AI-driven intelligence layers.

Data Accuracy: YELLOW -- Market sizing is based on an analogous sector report; direct TAM for the specific product wedge is not publicly available.

Competitive Landscape

MIXED Arkensight enters a market where visual data analysis is not a new concept, but its specific wedge of natural-language querying for critical infrastructure monitoring carves out a distinct, if narrow, position.

The competitive analysis must therefore be drawn from the broader market context implied by the company's stated focus.

• Incumbent inspection software. Established providers in drone mapping and photogrammetry, such as Pix4D and DroneDeploy, offer mature platforms for creating 2D and 3D models from aerial imagery. Their primary function is data capture and visualization, with analysis often requiring manual interpretation by trained specialists [PUBLIC]. Arkensight's proposed differentiation is the automation of that interpretation through AI and a conversational interface.
• Enterprise AI platforms. Large cloud providers (AWS, Google Cloud, Microsoft Azure) offer general-purpose computer vision and geospatial analytics services. These are powerful toolkits but require significant in-house data science and engineering resources to build a bespoke monitoring solution. Arkensight's bet is on delivering a vertically integrated, ready-to-use application that abstracts this complexity for infrastructure operators [PUBLIC].
• Adjacent substitutes. Traditional manual inspection services and legacy SCADA (Supervisory Control and Data Acquisition) systems represent the entrenched, non-AI alternatives. The competitive motion here is not feature-for-feature but total cost and speed of insight, positioning Arkensight as a potential disruptor of labor-intensive workflows [PUBLIC].

Arkensight's defensible edge today appears to be its early focus on the multimodal fusion of drone, satellite, and ground camera data within a single natural-language interface, a combination not commonly packaged for the critical infrastructure vertical. The durability of this edge is perishable, hinging on execution speed and data accumulation. A technical lead built on proprietary AI models could erode quickly if larger incumbents decide to build or acquire similar natural-language capabilities. The team's prior experience in the drone industry (via Thorondrone) and AI engineering provides a foundation for understanding domain-specific problems, which is a non-trivial advantage in a technical field [Silicon Gardens] [Crunchbase].

The company is most exposed on go-to-market and scale. It lacks the established sales channels and brand recognition of the incumbent software providers. Furthermore, its focus on "critical infrastructure" implies sales cycles involving security, compliance, and procurement hurdles that are typically long and relationship-driven. A competitor with a broader horizontal platform could decide to build a lightweight version of Arkensight's core feature and deploy it through an existing large customer base, effectively boxing out the startup before it gains significant market share.

The most plausible 18-month scenario sees the market bifurcating. If Arkensight can secure a handful of lighthouse customers in the maritime or energy sectors and demonstrate clear ROI on reduced inspection times, it becomes an attractive acquisition target for a larger industrial software or geospatial intelligence company seeking to modernize its portfolio. The "winner" in this case would be a first-mover startup that proves the product-market fit for conversational AI in infrastructure monitoring. The "loser" would be other early-stage startups attempting a similar wedge but without Arkensight's combination of domain-specific founder experience and focused investor backing, potentially struggling to transition from technology demo to paid enterprise deployments.

Data Accuracy: YELLOW -- Competitive positioning is inferred from the company's stated product focus and general market knowledge; no direct competitor citations are available in the provided source set.

Opportunity

PUBLIC Arkensight’s bet is that a unified intelligence layer for fragmented visual data can unlock a new standard for infrastructure monitoring, moving the industry from reactive reporting to proactive, queryable insight.

The headline opportunity is the emergence of a category-defining platform for critical infrastructure intelligence. The company’s core proposition, turning distributed visual feeds into a living map that answers natural-language questions, directly addresses a persistent bottleneck: the time lag between data capture and actionable insight [Arkensight]. If Arkensight can become the default system where infrastructure operators go to understand the state of their assets, it would capture a central, high-value position in a workflow currently managed through a patchwork of specialized tools and manual analysis. The backing from Silicon Gardens, which framed the investment as backing the future of visual intelligence, signals investor belief in this platform potential [Silicon Gardens].

Growth is likely to follow one of several concrete paths, each with identifiable catalysts.

Scenario	What happens	Catalyst	Why it's plausible
Vertical Dominance in Maritime	Arkensight becomes the standard monitoring suite for port authorities and shipping companies, analyzing satellite, drone, and camera feeds for security, maintenance, and logistics.	A flagship deployment with a major European port, validating the platform for complex, high-stakes environments.	The company already positions its technology as powering the next generation of maritime monitoring [b2match.com, 2026], and its Croatian base offers proximity to a significant Adriatic shipping industry.
Land-and-Expand in Energy & Utilities	The platform is adopted by a regional utility for grid inspection, then expands to other asset classes (pipelines, wind farms) and geographies through enterprise sales.	Securing a pilot with a national grid operator, demonstrating cost savings and risk reduction in routine inspection workflows.	The founding team’s prior drone industry experience via Thorondrone provides domain credibility for infrastructure inspection use cases [Jutarnji list, 2026].

Compounding for Arkensight would manifest as a data and workflow moat. Each new customer deployment adds unique visual data and query patterns, which can be used to improve the platform’s core AI models for object detection and anomaly recognition. More critically, as operators standardize their monitoring workflows on the Arkensight interface, switching costs rise. The platform’s design as a unified layer, connecting disparate data sources into a single intelligence network, encourages this lock-in [Silicon Gardens]. Early evidence of this flywheel is not yet public, but the product architecture is built to enable it.

The size of the win can be framed by looking at the valuation of public companies in adjacent spaces. While no direct public comparable exists for a pure-play visual intelligence platform, companies like DroneDeploy (last valued at over $1.2 billion in 2021) and Kespry demonstrate the scale achievable in commercial drone data analytics. A more ambitious scenario would see Arkensight capturing a meaningful share of the broader industrial IoT analytics market. If the company successfully executes on its vertical dominance scenario in maritime or energy, it could build a business with an enterprise software valuation multiple on tens of millions in annual recurring revenue, representing a significant multiple on its current pre-seed capitalization. This outcome is a scenario, not a forecast, but it defines the prize for which the company is playing.

Data Accuracy: YELLOW -- Opportunity framing is extrapolated from cited product claims and investor thesis; growth scenarios are plausible but not yet evidenced by public customer wins.

Sources

PUBLIC

1. [Arkensight] Arkensight | AI-Powered Infrastructure Monitoring | https://arkensight.com/

2. [Silicon Gardens] 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

3. [Crunchbase] Arkensight - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/arkensight

4. [How to Web] Top 40 Startups Taking Part in Spotlight 2024 - How to Web | https://www.howtoweb.co/meet-the-40-eastern-european-startups-competing-for-the-spotlight/

5. [Preqin] Arkensight Asset Profile | Preqin | https://www.preqin.com/data/profile/asset/arkensight/779871

6. [tportal, 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

7. [LinkedIn, 2026] Domagoj Coric - Arkensight | https://hr.linkedin.com/in/domagoj-coric-b64a1b194

8. [Financije.hr, 2026] Na nedavno završenom LAQOthonu, natjecanje idejnih tech rješenja na temu održivosti, pobjedu je odnio startup Arkensight | https://hr.linkedin.com/company/financije-hr

9. [nuqleus.io, 2026] Bruno Ćorić has over two years of professional experience as an AI engineer at Photomath | https://nuqleus.io/

10. [Jutarnji list, 2026] Domagoj Ćorić was co-founder and CEO of Thorondrone | https://www.jutarnji.hr/

11. [b2match.com, 2026] Arkensight powers the next generation of maritime and industrial infrastructure monitoring | https://www.b2match.com/

12. [Perplexity Sonar Pro Brief] Arkensight is a Croatian AI startup building a platform that turns visual data from drones, satellites, vehicles, and cameras into real-time intelligence for critical infrastructure | https://www.perplexity.ai/

13. [Grand View Research, 2023] Drone Data Services Market Size, Share & Trends Analysis Report | https://www.grandviewresearch.com/