[ 00 ] // Deployment record
Energy / Water / Agriculture / Food / Forests / Mining / Natural Capital / Government / Defense / Industrial Operations / Climate / Transport
[ 01 ] // Climate resilience
Iberdrola asked how to protect 1.1M km of line from the climate. We won the challenge. The forecasts existed; the decision did not. Between a weather model and a crew dispatched to the right tower there was nothing but human judgement under time pressure.
Client
Type
Sector
Region
Live since
Transmission corridor. Photograph for reference only.
The problem
Extreme weather moves faster than crews can be positioned. The forecasts existed; what was missing was the step that turned them into where to send people and what to do first. Across 1.1M km of line, that decision was made event by event, in real time.
The system
A resilience layer built on the Engine: asset models, high-resolution weather, and a failure-probability model per span, resolved to the map the control room already uses. Risk arrives inside the existing workflow, ready to act on before the storm.
The outcome
The operator now pre-positions crews and de-energizes selectively before the event, not after. Response to climate events is 73% faster, restoration windows shortened.
73%
faster response
1.1M km
of predictive coverage
2023
Iberdrola PERSEO winner
[ 02 ] // FORESTRY LIVING SYSTEM
Hazi is one of the most advanced forestry organizations in the world, and it set out to manage every forest in the Basque Country as a single system. The data existed; the shared representation did not. It lived across agencies, landowners, and satellites that had never been brought into one language. Hazi decided to close that gap.
Client
Type
Sector
Region
Live since
Managed woodland under monitoring. Photograph for reference only.
The problem
The system
The outcome
722K ha
of forest under one live model
500+
data sources and actors integrated into one ontology
1 day
Between updates across the whole forest
[ 03 ] // PUBLIC LAND
Azpilur had to decide which land to acquire and what it could become. We won the challenge. The data existed; the decision did not. Between a satellite pass and a signed acquisition there was nothing but months of manual analysis, parcel by parcel.
Client
Azpilur
Type
Sector
Region
Live since
Industrial land under assessment. Photograph for reference only.
The problem
The system
The outcome
Months → [minutes]
for analysis that priced a single acquisition
100%
of the territory under one model
2024
BIND GovTech challenge winner
[ 04 ] // ENERGY Operational intelligence
Energy runs on physics, not on code. A grid fails because of weather, an asset because of the ground it sits on. The forecasts existed; what was missing was the step that turns them into a decision on a specific asset. Predicterra is that step, built on the Engine and running inside Europe's largest energy operators.
Client
Type
Sector
Region
Live since
Energy infrastructure under monitoring. Photograph for reference only.
The problem
The system
The outcome
€2.1M/year
In avoided outage costs by turning risk into action sooner.
Azure Marketplace
published and validated on Microsoft Azure Marketplace
3
energy operators running on Predicterra
[ 05 ] // Sustainability & compliance
alliance
Type
Sector
Region
Live since
Technology for the physical world. Illustrative.
The problem
The system
The outcome
One stack
Google's planetary scale meets Woza's physical-world intelligence.
Physical world
Risk resolved to real assets, land and infrastructure.
Resilience
Companies act before the event, not after it.
[ 06 ] // agtech infrastructure
Agrology set out to operate at the speed its market moved, not the speed its data allowed. Every agtech hits the same wall: the intelligence is real, but it's scattered across sources that don't fuse. Agrology chose not to build that layer itself. It ran on the Engine instead.
Client
Type
Sector
Region
Live since
Cultivated land under monitoring. Photograph for reference only.
The problem
The system
The outcome
30M ha
monitored under one engine
2x
faster crop classification
One
engine beneath the entire platform
[ 07 ] // grid resilience
UFD distributes power to 3.8M supply points across 116,000 km of line, over terrain and climate that change every few kilometers. The forecasts existed; the step that turned them into where to send crews, on which asset, before the storm, did not. Predicterra is that step.
Client
Type
Sector
Region
Live since
Distribution network under monitoring. Photograph for reference only.
The problem
The system
The outcome
3.8M
supply points served across the network
116,000 km
of distribution line under one model
14 days
of asset-level risk, from hours to two weeks ahead
[ 08 ] // agtech infrastructure
SIMA Earth was already a leader in Latin American agriculture. It didn't need a platform; it needed a deeper layer beneath the one it had. Crop health, climate, and market signal lived in sources that never fused. SIMA chose to run on the Engine rather than rebuild that layer itself.
Client
Type
Sector
Region
Live since
Cultivated land under monitoring. Photograph for reference only.
The problem
The system
The outcome
80M ha
under continuous monitoring
One
engine beneath the platform
7x
faster from field data to decision
[ 09 ] // forest intelligence infrastructure
The most critical ecosystem on the planet is still governed by field visits, static reports, and inventories a decade old. The data to manage a forest as a system exists, scattered across satellites that never fuse. AboveForest turns every forest into one navigable model, at planetary scale.
Client
Type
Sector
Region
Live since
Managed forest under monitoring. Photograph for reference only.
The problem
The system
The outcome
<1%
of the world's forests inventoried tree by tree, until now
47M ha
in the deployment pipeline across 9 countries
Days
between updates, where inventories once took a decade
[ 10 ] // urban climate infrastucture
EVE engaged Woza to link urban traffic to emissions and bring them down through active management, after Woza's win in the BIND Innovation Program.
Client
Type
Sector
Region
Selected via
Urban traffic corridor. Illustrative.
The challenge
The approach
The outcome
Lower emissions
Advanced traffic systems can reduce CO2 in line with environmental goals.
Less congestion
Real-time, adaptive control can keep the city moving.
Cleaner air
Fewer emissions can mean measurable gains in wellbeing.
[ 11 ] // Under NDA
Some deployments support organizations where confidentiality is part of the engagement. The sectors can be shared. The engineering details require an NDA.
10 / 13
Energy Operator · Europe
Confidential
11 / 13
National Government · America
Confidential
12 / 13
Agriculture & Food · America
Confidential
13 / 13
Water & Climate · America
Confidential
[ 12 ] // Let’s build
Two ways to begin.
The Engine can enter your world two ways. One puts it to work inside the operation you run today. The other builds something your industry does not have yet.
The Engine
An operation
An industry
One engine, two ways to begin
Path 01
Inside your operation
Put the Engine to work.
We bring the Engine into your operation and build the system your mission demands. It runs where your work happens, accountable to your outcomes, not to a slide deck.
For operators who need a system current engineering cannot build.
Path 02
Across your industry
Build what doesn’t exist yet.
We co-create the capability your industry is missing: a new operational system, a new product, sometimes a new company. When the Engine opens a category, we build the institution around it.
For leaders defining where their industry goes next.