
DroneTector
Technology to detect and track hostile drones
About
We make radars that can see small drones. As drones evolve faster than air defenses, detection has fallen behind. Even $50 drones now present a major threat to airports, critical infrastructure, and front-line defense. We solve this by building high-frequency radar systems, designed from the ground up to detect even the most challenging low-signature targets. This allows us to identify and track nano drones like no other solution, letting you know what's truly in your airspace.
AI Research Report
Problem & Solution
Problem / Solution Report
-
Problem significance – Small consumer and nano drones pose increasing threats to airports, critical infrastructure, and front‑line defence. Conventional detection struggles to distinguish drones from birds or to identify specific drone models, limiting rapid threat assessment and proportional response.
-
DroneTector’s approach – The company builds high‑frequency (millimetre‑wave) radar systems designed from the ground up to detect low‑signature targets. Its sensors claim the ability to detect, track, and identify small/nano drones, differentiating them from birds and even distinguishing between drone models.
-
Value proposition – Taglines on the company site (“Airspace security, made measurable”) and the YC profile emphasize accurate detection and rapid threat quantification, enabling operators to make informed decisions about mitigation.
-
Technical differentiators – Independent program material (Royal Commission 1851) highlights the radar’s capability to separate drones from birds and to classify drone models, a feature that many RF‑only or optical systems lack, especially under adverse weather conditions.
-
Validation pathways – Support from Y Combinator, NATO DIANA, UK DASA, and RAEng Enterprise Fellowships provides non‑dilutive funding, access to test sites, and credibility with military end‑users, accelerating field‑ready deployments in airports and defence contexts.
Market & Competitors
Market and Competitors Report
-
Market overview – The anti‑drone/C‑UAS market is expanding from an estimated USD 2.5‑6.0 B in 2024‑2025 to USD 12‑20 B by 2030‑2033, driven by incidents at airports, critical infrastructure, and battlefield proliferation of sUAS. Detection is a foundational layer for all deployments.
-
Competitive landscape – Established players include Dedrone, DroneShield, Fortem Technologies, Echodyne, Blighter Surveillance Systems, DeTect, Inc., QinetiQ, Aaronia, CerbAir, SkySafe, Liteye Systems, among others. Industry reports (Grand View Research press release) list these as key vendors.
-
DroneTector positioning – Its differentiation centers on high‑frequency, high‑resolution radar targeting the smallest drones with model‑level discrimination and bird‑drone separation. This places DroneTector as a radar specialist amidst competitors that rely on RF fusion (Dedrone, SkySafe) or integrate radar with other sensors (Fortem, Echodyne).
-
Target customers and channels – Focus on airports, defence, and critical infrastructure. Accelerator affiliations (YC) aid commercial go‑to‑market, while DIANA and UK DASA provide defence validation and access to NATO testing networks.
-
Advantages and risks – Advantages: niche radar expertise, strong accelerator/network backing. Risks: competition from other radar specialists and multi‑sensor integrators, need to demonstrate low false‑alarm rates, and long defence procurement cycles.
Total Addressable Market
Quantitative TAM Report
-
Scope definition – DroneTector builds detection/tracking radar for small drones (sUAS), a sub‑segment of the broader Counter‑UAS (C‑UAS) market.
-
Market size estimates – MarketsandMarkets reports a C‑UAS market of USD 5.99 B in 2024, projected to USD 20.31 B by 2030 (CAGR ≈ 25 %). Fortune Business Insights values the anti‑drone market at USD 2.45 B in 2024, reaching USD 12.24 B by 2032 (CAGR ≈ 23.5 %). Grand View Research estimates the anti‑drone market at USD 3.18 B in 2025, growing to USD 19.84 B by 2033 (CAGR ≈ 25 %).
-
Triangulation methodology – By triangulating the three independent sources, the 2024‑2025 anti‑drone/C‑UAS market can be bounded between USD 2.5 B and 6.0 B. Applying a conservative slice for high‑frequency radar detection (≈15‑20 % of total spend) yields a low‑single‑digit‑billion USD TAM today, expanding to the low‑to‑mid‑billion range as the overall market reaches USD 12‑20 B by the early 2030s.
-
Growth drivers – Rising incidents at airports, critical infrastructure, and battlefield environments drive demand for reliable detection. Millimetre‑wave radar, DroneTector’s core technology, is positioned to capture a growing share of the detection spend within this expanding market.
-
Implications – A realistic TAM envelope for DroneTector’s radar‑only solution lies in the $1‑3 B range today, scaling proportionally with the broader market to $5‑10 B by 2030‑2033, depending on adoption rates and defence budget allocations.
Founder Analysis
Founders and Background
-
Matthew Moore (Founder; RAEng Enterprise Fellow) – Multiple sources identify Dr Matthew Moore as the founder of DroneTector. He is an alumnus of the Royal Academy of Engineering Enterprise Fellowships, indicating a doctoral background. His work focuses on high‑resolution radar for drone detection and tracking.
-
Thomas Doherty (Co‑Founder) – Public professional profiles list Thomas as Co‑Founder of DroneTector (YC W26), with education at the University of Oxford. His profile also notes participation in NATO DIANA activities, suggesting a strong research/technical foundation aligned with defence and sensing technologies.
-
Affiliations and ecosystem support – DroneTector is backed by Y Combinator (Winter 2026), NATO DIANA, the UK Defence and Security Accelerator (DASA), and the Royal Academy of Engineering. DIANA materials note non‑dilutive grants and access to test centres across NATO nations, highlighting programme support for the founders.
-
Additional team members – LinkedIn shows a compact technical team (2‑10 employees) including Daniel J. Sung. YC lists a team size of three during the Winter 2026 batch.
-
Summary of relevance – The founders’ technical and research backgrounds (RAEng Fellowship, Oxford education, DIANA participation) align directly with DroneTector’s specialization in millimetre‑wave radar for detecting small, low‑signature drones.
Unlock Full AI Research Report
Enter your email to access the complete analysis.
We'll never spam you. Unsubscribe anytime.