Digital twins
of nature
AI-driven ecosystem simulation that lets decision-makers explore and compare how ecological outcomes may unfold under different plans, before commitments are made.
Explore scenarios in a grid-based digital twin, with transparent assumptions and comparative outputs.
An AI-powered ecosystem simulator
Ecotwin builds AI-driven digital twins of ecosystems on land and at sea, from research at the University of Gothenburg. Simulations compare plans under stated assumptions, with results read comparatively, not as single-number predictions.
Grid-based digital twin
A geographic grid with map layers for habitat, biomass, energy, and impacts.
Functional groups & food webs
Functional groups with biomass and energy accounting, predation, and growth.
AI-guided movement & foraging
Movement, rest, and feeding follow reinforcement-learning policies grounded in energy balance.
Scenario & decision support
Compare alternatives under clear assumptions, for hypotheses and expert dialogue, not forecasts.
From data to decisions
Three steps to understanding the ecological consequences of any planned intervention.
Data in
Geographic and environmental data, local species, and habitat conditions.
Time-stepped simulation
Map layers update each tick, with behavior driven by reinforcement-learning policies.
Compare & interpret
Compare scenarios for relative changes in biomass, distribution, and energy, not absolute forecasts.
Better decisions. Lower risk.
Reduced costs.
Ecotwin helps decision-makers compare how ecological outcomes differ between plans, reducing guesswork in permitting, licensing, and long-term stewardship.
Shorter permitting processes
Dynamic simulation replaces slow, static analyses.
Data-driven decisions
Map-based models compare ecological trajectories across plans.
Stronger documentation for assessments
Repeatable scenario inputs for impact analysis and permitting, complementing (not replacing) statutory reporting.
Reduced risk & cost
Stress-test interventions in simulation before costly commitments.
Built for real-world impact
Ecotwin serves decision-makers across industries where ecological understanding is critical.
Construction & urban planning
Assess ecological impact before breaking ground.
Energy & wind power
Model how installations affect wildlife and habitats.
Marine ecosystems & fishing
Simulate marine ecosystems for sustainable fisheries.
Forestry & land use
Explore long-term effects of logging, mining, and land use.
Public sector & consultants
Simulation tools for agencies and consultants.
Research & academia
Advance grid-based ecosystem modeling and reinforcement-learning methods.
Our vision
“A world where every major decision
takes nature into account, because we can
finally understand it in advance.”
Interdisciplinary expertise
A team combining world-class AI research with deep biodiversity knowledge and commercial execution.
Claes Strannegård
Founder & Chief Scientist
AI professor and award-winning researcher.
Felix Nordgren
CEO
Business development, technology, and product.
Daniele Silvestro
Biodiversity + AI
University of Gothenburg & ETH Zürich; global expert and researcher.
Molly Nordgren
Communications
Communications and market strategy.
Mikael Funa
Chairman of the Board
Business developer at GU Ventures.
Get in touch
Whether you want to run a pilot project, model a real ecosystem, or join our research team, we'd love to hear from you.