Land use forecasting software,
with the support to make it work for you.

EcoSyntax distributes LUMinCity in the USA and Canada — and helps your team get the most out of it using responsible AI workflows.

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Software

LUMinCity is land use forecasting software for local governments, regional planning agencies, and consultancies. It models how land uses change over time, so decisions about transportation, housing, and infrastructure rest on defensible forecasts.

  • Flexible deployment. Use LUMinCity as desktop software, or access it via an API service hosted on trusted infrastructure — your own servers or a cloud region close to your team. Either way, sensitive planning data stays under your governance.
  • Built for practice. Designed by a team that has delivered over two dozen real-world land use models for regional planning, transportation modeling, and scenario analysis workflows.
  • Supported locally. EcoSyntax is the authorized distributor for the USA and Canada, with direct technical support and onboarding help.

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Support

Land use modeling is technical work! New technologies like large language models (LLMs) can take much of the friction out of it — writing scripts, building data pipelines, automating scenario runs--but implementing AI in production can be tricky, and comes with real risks. Regional planning agencies need to be especially careful about which tools touch their data, given the legal, regulatory and public relations risks.

In addition to offering direct technical support for LuminCity software, bundled with your annual license, we can help you select and combine AI models, agent frameworks, and inference hosting to fit your situation — from fully local deployments where nothing leaves your machines, to pragmatic hybrid setups — so your team gets the productivity gains without the exposure.

Talk to us about implementation support

About EcoSyntax

EcoSyntax works at the intersection of economics, ecology, and the structures that connect them — from land use patterns to the systems that model them. We believe useful technology is local, efficient, and accountable.