Pre-Seed · April 2026
Autonomous Infrastructure Monitoring
The same flight every month. AI that gets smarter with each pass.
Defect growth tracked to the millimeter.
Operators subscribe to infrastructure intelligence, not to a drone.
The Problem
"Is this crack getting worse?"
"Two inspectors may inspect the same bridge on different occasions and have slightly differing opinions on a defect, sometimes resulting in what appears to be a miraculous self-healing."
Mind Foundry, industry analysis
Every inspection is different. Different team, different path, different conditions.
Human inspectors are subjective and fatigued. Early-stage defects missed until emergency.
No temporal baseline. No comparison. No growth curve. Nothing to audit.
The Scale
"Critical infrastructure is
perhaps not as safe
as the public thinks."
UK Institution of Civil Engineers
State of the Nation · 2025
Germany's infrastructure renewal commitment through 2035. Europe's infrastructure is past design life.
cost per day · manual inspection
emergency vs. preventive
Our Solution
TRL 7
Same trajectory every flight. No pilot. Beyond radio range.
AI defect detection. Auto-catch problems.
Temporal comparison. "This crack grew 2.3mm since Feb."
Co-developed with
MLOps platform for the edge-AI pipeline.
SNCF subsidiary. Analytics & digital twins.
Demo
Temelín nuclear power plant · Autonomous · GNSS-denied · No pilot · Fully repeatable
The Product
Monthly flight · same format · comparable across years.
Severity-ranked · Temporal · Same-day
Why Now
Metro and rail operators designated as critical entities by July 2026. Risk assessments due within 9 months.
Germany has committed €500B to transport infrastructure renewal through 2035.
The Netherlands reports a €35B gap between current maintenance budgets and what aging tunnels and bridges actually need.
3D LiDAR: <€500 (10× cheaper than 2020).
Edge AI: 7.5× faster inference than previous-gen accelerators.
The hardware stack to do this autonomously is finally shippable.
Market · Tunnel vertical
Czech Republic + France
~400 km metro tunnels · ~700 km rail tunnels
€826K-2.3M SAM in beachhead
SOM ~7-13% (€55K-290K realistic capture Y1-2)
DACH, Nordics
SAM: €140–280M
19.5% global CAGR
Y5 target: 50 DaaS clients, €5M ARR
Business Model
Continuous autonomous monitoring on a monthly subscription. Zero client CAPEX. Priced per tunnel installation.
Recurring, predictable, high retention.
Single engagements. Early revenue channel and lead generation funnel into DaaS.
Low commitment for first-time customers.
Software-like gross margins on a hardware-backed service.
One drone amortizes over many flights; the data compounds in value each time it flies.
Competition
Collection = repeatable path · Detection = AI defect ID · Tracking = temporal comparison.
* Replays pilot-flown path, no accuracy specs, pilot required. ** LiDAR geometry change detection (±5mm), no defect classification. † AiDIT AI inspection for ship hulls, not tunnels.
Traction
status · pre-revenue · first paid pilot targeted Q4 2026
MLOps platform powering the edge-AI pipeline.
SNCF subsidiary. Analytics & digital twins.
Team
CEO & CTO · Full-time
PhD @ CTU Prague. 10 years autonomous navigation, GNSS-denied flight systems, 500+ flight hours. DARPA SubT, Dronument. Core drone tech.
CPO · Full-time with funding
PhD @ Inria France. 2 years robotics sales and UX/UI dev @ Fly4Future. Leading France: Inria, accelerators, clients. Core sales skills.
+ 4 key employees joining with funding: Marketing & field engineer, AI researcher, HW engineer, robotics R&D engineer.
The regulation is here.
The infrastructure is aging.
The window will not stay open.
pavel@eclypsrobotics.com