AI Technology for Sustainable Infrastructure

Decision Intelligence for the Environments That Carry the Most Risk.

From physical site conditions to live industrial operations, Effix builds platforms on satellite earth observation and edge computer vision that read environmental signals and turn them into clear decisions.

The signal is always there. The problem is reading it clearly enough to act.

Physical environments carry risk that is rarely visible without the right tools. What is in the land before you build on it. What is in the air above an industrial site. What is happening at a facility in real time. Effix builds platforms on satellite earth observation and edge computer vision to read those signals and turn them into decisions.

Our Solutions

Three products. Two signal modes: satellite earth observation and edge computer vision. Built for environments where the cost of a missed signal is high.

Flagship Product

PropVeritas

Pre-Acquisition Site Intelligence

Satellite Signal Layer

Real estate investors and developers commit capital before they have any independent site intelligence. PropVeritas combines ESA satellite signals, geotech data and financial modelling into a pre-acquisition report covering contamination risk, flood exposure and development viability, before a site is shortlisted. Built within the European Space Agency Business Incubation Centre, Noordwijk.

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EdgevIQ

Vision Intelligence at the Edge

Edge AI · Maritime

AI-powered vessel monitoring that runs on-board. EdgevIQ watches live camera feeds across a ship using computer vision, detecting crew overboard, fire, smoke, and security events in real time, with no internet connection required.

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AeroTraq

Atmospheric Intelligence from Satellite

Satellite Signal Layer

The air quality above a site is rarely assessed before decisions are made. AeroTraq uses ESA Sentinel-5P satellite data to build an atmospheric exposure profile for any location: pollution levels, emission sources upwind, and how conditions have changed over six years.

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Why Effix

The signal is always there. What is missing is the infrastructure to read it clearly enough to act: before capital is committed, before an incident escalates, before a site is assessed without the full picture.

Decision-First, Not Data-First

Our platforms are built around a single question: what should you do next? Not a dashboard of signals. A verdict, with the evidence behind it cited and auditable.

Three Signal Layers, One Framework

Satellite earth observation reads the physical environment from orbit: land condition, atmospheric exposure, flood history. Edge computer vision reads what is happening at a site in real time. Two signal modes, matched to where the risk actually lives.

Built within ESA BIC Noordwijk

PropVeritas is built within the European Space Agency Business Incubation Centre at Noordwijk, Netherlands. ESA explicitly identifies pre-acquisition real estate intelligence as a priority application for satellite-enabled financial services.

Who We Serve

Organizations facing high-stakes decisions under regulatory pressure, operational constraints, and limited resources.

Real Estate Investors & Developers

Pre-acquisition site intelligence: contamination, flood exposure and development viability before capital is committed.

Lenders & Asset Managers

Site risk quantification for loan underwriting, portfolio acquisition screening and covenant compliance.

Vessel Operators & Fleet Managers

On-board safety monitoring and shore-based fleet oversight, with AI event detection across all vessel cameras.

Environmental & Planning Teams

Atmospheric risk assessment for planning applications, industrial site reviews and environmental compliance.

Two Signal Modes

Satellite earth observation for the historical, wide-area picture. Edge computer vision for what is happening right now. Both matched to where the risk actually lives.

Mode 01 · PropVeritas & AeroTraq

Satellite Earth Observation

ESA satellite missions read the physical environment from orbit: land contamination and flood history via Sentinel-1 and Sentinel-2, atmospheric pollution via Sentinel-5P, terrain via Copernicus DEM. The historical record is continuous and independent. No site visit required.

Mode 02 · EdgevIQ

Edge AI & Computer Vision

AI inference runs on NVIDIA Jetson hardware installed on the vessel. No cloud connection required. EdgevIQ monitors live camera feeds across multiple decks, classifies events in real time and logs video evidence, whether the ship is in port or open ocean.

About Effix Envirotech

The critical signals in land acquisition, atmospheric risk and live industrial operations are rarely visible without the right tools. They are in the ground, in the air above a site, in real-time sensor feeds. Missing them has a cost: capital committed to the wrong site, incidents that escalate before detection, exposure that surfaces too late.

Effix Envirotech builds decision intelligence platforms that read those signals and translate them into clear, cited decisions. We work across two signal modes: satellite earth observation for land and atmospheric conditions, and edge computer vision for live operational events.

The decision framework is shared across all three products. The technology is matched to where the risk actually lives.

Our Flagship Platform

Our flagship platform, PropVeritas, delivers pre-acquisition site intelligence for real estate investors, developers and lenders. PropVeritas combines ESA satellite signals (contamination, flood, terrain, soil and reclaimed land) with geotech data and a development feasibility financial model to produce a Go, Caution or No-Go verdict before capital is committed. It is built within the European Space Agency Business Incubation Centre at Noordwijk, Netherlands, and is live across the Netherlands, UK, France, UAE, East Africa and the United States.

Ready to Transform Your Decision-Making?

Whether you are acquiring a site, assessing atmospheric exposure or monitoring live operations, our platforms read the signals and tell you what to do before the risk becomes visible.