Earth Observation
Satellite imagery tracks structural change, vegetation encroachment and land movement across the whole corridor — at a scale no inspection crew can cover.
Transmission grid intelligence
Grid observability,
from orbit to the tower.
SAMSTEO fuses satellite Earth Observation, LoRaWAN sensor networks and weather analytics into a single predictive picture of your transmission network — so structural failures are caught before they cascade into outages.
In active pilot deployment with CGES, the Montenegrin transmission system operator.
Backed, funded and validated by
- CGES — Montenegrin TSO
- Horizon Europe · FIERCE
- EPRI Open Power AI Consortium
- Innovation Fund of Montenegro
- UNDP Europe & Central Asia
- Science & Technology Park of Montenegro
The problem
Most of the grid is a blind spot.
High-voltage infrastructure runs through terrain nobody can inspect often enough. When something moves, sags, corrodes or ignites, operators usually find out from the outage — not from the asset.
June 2024
The regional blackout that paralysed the Balkans. Nobody could say how or where it started until it was already over.
~500,000 ha
Burned across Europe in 2026, with damage estimated at up to €19 billion — repeatedly traced back to ageing overhead electrical infrastructure.
75%
Of all land burned in Greece in 2026 was linked to fires involving the ageing electricity network.
Manual inspection cannot scale to thousands of towers across the Dinaric Alps. Continuous monitoring can.
How SAMSTEO works
Three data streams, one predictive framework.
Each stream is blind on its own. Fused, they tell you which tower is at risk, why, and how soon.
IoT sensor network
LoRaWAN sensors clip onto existing towers and report tilt, vibration, EMF and structural stress in real time — including in terrain with no cellular coverage.
Weather analytics
Forecast and observed weather turn a static reading into a risk trajectory: what this asset will be subjected to over the next hours and days.
The platform
From reactive repair to condition-based maintenance.
SAMSTEO is not a replacement for the systems a utility already runs. It makes the infrastructure they already own observable.
A living digital twin
Every monitored tower carries a continuously updated model of its own condition, not a annual snapshot from a clipboard.
Anomaly detection in real time
Machine learning flags readings that depart from an asset’s own established baseline, so the alert reflects that tower rather than a global threshold.
Built for signal-blind terrain
A LoRaWAN communication layer that keeps reporting from remote mountain corridors, and keeps working when cellular networks fail.
Retrofit, not rebuild
Sensors mount onto existing towers. No structural modification, no outage window, no rip-and-replace programme.
Early-warning triggers
Move the operating question from “what happened?” to “what is about to happen?” — with enough lead time to act on the answer.
Open by design
Aligned with MEST ISO/IEC 42001 for AI management and ETSI EN 303 645 for IoT security, and contributed back through the EPRI Open Power AI Consortium.
Traction
From a research paper to a live pilot on high-voltage lines.
LoRaSi was founded in 2025. This is what the first eighteen months looked like.
- 2025
Founded in Podgorica
Spun out of research presented at the MIPRO convention in Opatija, as a tenant of the Science & Technology Park of Montenegro.
- 2025
Innovation Fund grant
€32,000 awarded to develop a digital twin for transmission system monitoring.
- 2025
On the international circuit
SAMST presented at ICPGEEC CIGRE Dubrovnik, Web Summit Lisbon and Horizon4Poland in Warsaw.
- 2026
UNDP BOOST × CEF award
Greatest Impact Potential at the Green Urban Tech Sprint Demo Day, against ten teams from Europe and Central Asia.
- 2026
BoostMeUp 5.0 — 2nd place
€10,000 awarded at the national startup programme finale in Podgorica.
- 2026
CWIEME Berlin
SAMSTEO presented with CGES on the Central Grid stage, plus an invite-only T&D Club roundtable moderated by LoRaSi.
- 2026
Horizon Europe · FIERCE
€50,000 scale-up voucher. One of 48 funded from 272 proposals — and the only company from Montenegro.
- 2026
EPRI Open Power AI Consortium
Joined a 250-organisation global initiative advancing AI for the electric power sector.
Newsroom
What we have been up to.
The FIERCE evaluation report puts our selection in perspective
272 proposals submitted, 123 through expert evaluation, 48 funded. LoRaSi is one of them — and the only company from Montenegro.
LoRaSi joins the EPRI Open Power AI Consortium
Membership of a global initiative bringing together 250+ organisations advancing AI for the electric power sector.
LoRaSi selected for the FIERCE Financial Support Programme
A €50,000 Horizon Europe grant to extend our AI capabilities into space data and Earth Observation.
Run a transmission network?
We are onboarding pilot operators for the next SAMSTEO deployment window. A pilot starts with a single line section — not a procurement programme.