UK ENGINEERING COMPANY · LONDON
Intelligent Monitoring for Environment, Sustainable Energy, AI
SEENG Ltd develops revolutionary, patented technologies for monitoring complex natural and anthropogenic systems. Through artificial intelligence and machine learning we keep solar panels at constant efficiency and enable their fully self-controlled maintenance — protecting assets, territories and ecosystems.
2019
Founded in London, United Kingdom
2
Proprietary AI platforms — SIMON & SALAMANDER
8+
PV fault classes detected by ML algorithms
30+
Years of team expertise in risk & hydraulics
SIMON · AI Detection Engine
Thermographic scan · Field A · Live
ML ACTIVE
Module A-12 — Hot spot
HIGH
98.2%
Module B-04 — PID degradation
MEDIUM
91.7%
Module C-31 — Micro fracture
MEDIUM
94.5%
Module D-08 — String anomaly
HIGH
99.1%
CNN classifier · IR imagery · 8 fault classes
v2.4.1
PREDICTIVE MAINTENANCE
+18% energy yield
ABOUT US
Where artificial intelligence meets environmental engineering
SEENG Ltd is a UK engineering company specializing in the intelligent monitoring of environmental and energy systems. Anthropogenic impacts are increasing the vulnerability of our ecosystems: intelligent artificial tools embedded in smart systems are the key to guaranteeing environmental sustainability.
Who we are
Based in London and registered in England (Company No. 12272351), SEENG Ltd uses revolutionary, innovative and patented technologies to monitor complex natural and anthropogenic systems. Our systems managed by artificial intelligence maintain the constant efficiency of solar panels and enable their fully self-controlled maintenance — from thermographic inspection by drone to automated fault classification and predictive cleaning.
The company is the UK sister of SEE — Solutions for Energy, Environment and Safety, sharing the same founding team and the same vision: translating advanced research into intelligent, field-ready systems. Our machine-learning pipelines process infrared imagery, drone surveys and live electrical data to detect faults before they become failures, while our hydraulic models keep territories and watercourses under constant AI-assisted surveillance.
SEENG LTD AT A GLANCE
Registered in England
Company No. 12272351
Headquarters
71–75 Shelton Street, London WC2H 9JQ, United Kingdom
Group
UK sister company of SEE — Solutions for Energy, Environment and Safety
Awards & Recognitions
Sapio Research & Innovation Award
2018
Karl Emil Hilgard Hydraulic Prize — ASCE
2007
UK DIT Top 100 European Sustainability Company
2020
Eureka Award
2017
AI & Machine Learning
Patented Technologies
Drone-Based Inspection
Smart Systems
Leadership team
Dr. Eng. Giuseppe Ragonese
Chief Executive Officer · Co-founder
Over 30 years of experience in risk analysis. Former official at the Lombardy Regional Directorate of the National Fire Brigade (VVF Milan, Italy) and former researcher at the Department of Renewable Energy, Resource Efficiency and Aerospace Research of I.E.M.E.S.T — Euro-Mediterranean Institute of Science and Technology, Palermo.
Winner of the Sapio Research and Innovation Award — Senate of the Italian Republic, CNR, ENEA (Rome, 2018)
Prof. Eng. Donatella Termini
Chief Technology Officer · Co-founder
Ph.D., Full Professor of Hydraulics at the University of Palermo (Italy) with over thirty years of experience in experimental and numerical research. Leader or collaborator of national and EU research projects, Guest Editor of international journals, with a research focus on environmental risks, ecosystems and anthropic interactions.
Recipient of the 2007 Karl Emil Hilgard Hydraulic Prize — ASCE
Core Values
01
Intelligence
We embed AI algorithms and machine learning into every monitoring system, turning raw field data into autonomous, self-controlled decisions.
02
Sustainability
We promote smart technologies that reduce environmental impact, protect ecosystems and accelerate the transition to clean energy.
03
Reliability
We deliver patented, field-proven technologies with measurable results, ensuring the highest standards of quality and safety.
WHAT WE DO
Intelligent systems powered by AI algorithms
SEENG applies machine learning to the same core domains — solar energy and the environment — turning every drone flight, thermal image and field measurement into autonomous, self-controlled maintenance intelligence.
01
Solar Panel Performance Monitoring
We keep photovoltaic assets at constant efficiency through thermographic examinations by thermal imaging cameras and drones, with every image processed by machine-learning classifiers.
Hot spots & PID
Micro fractures of PV cells and degradation from Potential Induced Degradation, detected by neural networks on IR imagery
Interrupted connections
Faults between cells and in strings localized automatically by our AI detection engine
Mismatching & metallization
Performance anomalies and cell metallization recognized by trained models
EVA yellowing & micro fractures
Encapsulant discoloration and micro cracks identified in early stages by computer vision
02
Territory & Watercourse Monitoring
We monitor territories and watercourses using innovative drone-based techniques and AI image analysis, protecting ecosystems and anthropogenic infrastructure.
AI image analysis
Machine-learning models process aerial imagery to extract morphological and hydraulic features
Environmental risk
Predictive models supporting the assessment of ecosystem vulnerability and anthropic pressure
Watercourse surveying
Recurrent surveys tracked over time to detect erosion, sedimentation and vegetation dynamics
Autonomous reporting
AI-generated findings and alerts delivered directly to asset and territory managers
Smart Technologies & R&D — SIMON & SALAMANDER
Our proprietary AI platforms connect, manage and monitor photovoltaic systems end-to-end: from machine-learning fault localization on interactive maps to self-controlled robotic maintenance. Discover the technologies that keep us at the forefront of this industry.
SIMON
System Intelligent MONitoring — AI asset management
03
SALAMANDER
AI-driven safety cleaning & maintenance device
TECHNOLOGIES · R&D
The same technologies, driven by AI & machine learning
Our proprietary platforms — SIMON and SALAMANDER — evolve the monitoring and maintenance of photovoltaic assets through artificial intelligence: neural networks for fault recognition, predictive models for degradation, and autonomous algorithms for self-controlled maintenance.
IR
STEP 1
Acquisition
Multi-source data capture
Drone IR thermography, thermal cameras, string electrical readings and environmental sensors feed the AI continuously.
ML
STEP 2
Learning
ML classification
Convolutional neural networks and ensemble classifiers label every anomaly: hot spots, PID, micro fractures, EVA yellowing, mismatching and metallization.
AI
STEP 3
Prediction
Predictive analytics
Time-series models forecast degradation trends, soiling rates and energy yield, scheduling maintenance before failures occur.
OPS
STEP 4
Action
Autonomous maintenance
SALAMANDER executes AI-planned cleaning and self-controlled maintenance with full electrical disconnection safety.
SI
SIMON
SYSTEM INTELLIGENT MONITORING
An AI-native intelligence system to connect, manage and monitor photovoltaic systems. SIMON sits at the forefront of the industry: its machine-learning core localizes and identifies full PV panel faults and string anomalies automatically, turning thousands of thermal and electrical signals into ranked, actionable alerts.
Interactive AI mapping
Geolocated plant view with ML heat-mapped fault localization down to the single module
API integration
Open APIs connect inverters, sensors and third-party SCADA into one learning pipeline
Fault & anomaly localization
String-level analytics
Computer-vision models pinpoint hot spots, PID, micro fractures and EVA yellowing
Graphical identification of panel information and automatic detection of string faults
CNN vision
Anomaly detection
Predictive maintenance
Digital twin
SA
SALAMANDER
SAFETY CLEANING AND MAINTENANCE DEVICE
A patented device for the continuous maintenance of solar panels with full electrical disconnection. Guided by SIMON's predictions, SALAMANDER performs self-controlled cleaning and maintenance exactly when the AI decides it is worthwhile — guaranteeing constant panel efficiency in terms of energy production.
AI soiling forecasting
Weather and soiling models decide the optimal intervention schedule, day by day
Safety disconnection
Automated electrical isolation before every intervention, by design and by algorithm
Continuous maintenance
Robotic cleaning keeps surfaces at peak transmittance without plant shutdowns
Efficiency guarantee
Closed-loop control: the ML verifies the energy gain after each autonomous cycle
Self-controlled
Patented device
Robotic cleaning
Closed-loop AI
%
Constant efficiency
Solar panels maintained at peak energy production by AI scheduling
8+
8+ fault classes
Automatically recognized by neural networks on IR imagery
0V
Zero-contact safety
Electrical disconnection managed autonomously by the system
SERVICES
AI-driven services, measurable results
Each area combines a portfolio of specialized services, delivered according to international technical standards and enhanced by proprietary artificial intelligence.
PV
Solar Performance Monitoring
4 specialized services
Drone-Based Infrared Thermography
IEC TS 62446-3 · UNI EN ISO 9712 Level 2/3 — thermographic examinations by drones and thermal cameras
AI Fault Classification
Machine-learning recognition of hot spots, PID, micro fractures, interrupted connections, mismatching, EVA yellowing and metallization
Performance Ratio Analysis
Data-driven assessment of PV system yield with ML-based degradation forecasting
SIMON — Asset Performance Management
AI platform for real-time monitoring, fault localization and predictive maintenance of PV assets
ENV
Territory & Watercourse Monitoring
3 specialized services
Drone Surveying & AI Image Analysis
Innovative aerial techniques processed by machine-learning models for territory surveillance
Hydraulic & Morphological Monitoring
AI-assisted tracking of watercourses, erosion, sedimentation and vegetation dynamics
Environmental Risk Assessment
Predictive models for ecosystem vulnerability and anthropic pressure analysis
OPS
Smart Maintenance & Energy
3 specialized services
SALAMANDER — AI Cleaning & Maintenance
Self-controlled continuous maintenance with automated electrical disconnection
Predictive Maintenance Programs
ML-based maintenance scheduling to maximize availability and energy yield
Energy Performance Consulting
Technical support for owners, EPCs and O&M teams transitioning to AI-driven operations
Standards we work with:
IEC TS 62446-3
UNI EN ISO 9712 L2/3
CEI 82-25
CEI 0-16
PORTFOLIO
Success stories powered by intelligence
From major airport hubs to industrial plants and natural territories, our AI-driven solutions deliver measurable efficiency, safety and compliance.
CASE STUDY 1
AIRPORT · PV
Rome Airports
AI-powered photovoltaic monitoring and diagnostics to ensure efficiency, safety and regulatory compliance in a major airport environment — with drone thermography fully processed by machine-learning classifiers.
AI PV Diagnostics
Compliance
Aviation
CASE STUDY 2
INDUSTRIAL · PV
Agrumaria Corleone Spa
Advanced machine-learning diagnostics of photovoltaic systems in complex industrial settings: SIMON localizes faults automatically and SALAMANDER keeps panels at peak efficiency with autonomous maintenance.
SIMON
Industrial
Predictive Maintenance
CASE STUDY 3
TERRITORY · WATER
Watercourse AI Monitoring
Drone-based surveying of territory and watercourses with AI image analysis: repeated flights, machine-learning change detection and automated reporting for environmental protection.
AI Image Analysis
Hydraulics
Environment
CONTACT US
Ready to put AI at work on your assets?
For more information about SIMON, SALAMANDER or our AI monitoring services, write to us or use the chat. Tell us about your organization and your goals: our team will come back with a tailored proposal.
HQ
Headquarters
SEENG Ltd
71–75 Shelton Street
London WC2H 9JQ, United Kingdom
@
ISO
Certified expertise
IEC TS 62446-3 · UNI EN ISO 9712 Level 2/3 · CEI 82-25 · CEI 0-16
AI
AI-first approach
Every request is evaluated by our engineering team with the same ML technology we deploy in the field.
Registered in England No. 12272351