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Build AI that understands the world.

The world’s most important systems are physical. Help build the intelligence they deserve.

From the food we grow to the water, forests and assets we depend on, turn a changing planet into intelligence people can act on.

  • Aerial view of irrigated crop rowsFood-Ag
  • Aerial view of forest canopy with a cleared patchForest & land
  • Aerial view of a reservoir between forested hillsWater
  • Transmission tower in a forest corridor seen from aboveEnergy
  • Highway and rail corridor along a hillsideInfrastructure
The systems your work reaches: food, forests, water, energy and infrastructure.

Build models that farmers, food companies and governments act on every season.

Building for the physical world means working with complexity: changing weather, living systems, fragmented data and decisions that cannot wait.

Food and agriculture are our proving ground. We are extending that foundation across forests, water and the next frontiers of energy and infrastructure.

The problems you would work on.

Choose a domain to see the kind of questions our work helps address.

Aerial view of irrigated crop rows
Crop → plot → region

Can we see a harvest before it happens?

Connect crop development, yield, disease and weather signals to food availability, sourcing and farm decisions.

Our foundation

Explore Food-Ag intelligence

The distance between a signal and a decision.

Our work connects layers that are too often disconnected. Each one needs people who think deeply and build carefully.

  1. 01

    Observe the world

    Satellite imagery, weather, field observations and enterprise data.

    Data and pipelines

  2. 02

    Understand what changes

    Domain models, spatial context and evidence that make signals meaningful.

    Models and intelligence

  3. 03

    Help people act

    OrbitAI agents, clear answers and workflows for real decisions.

    Agents and experience

Our product ambition

Our goal: anyone can ask a question of satellite, climate and field data without building the pipeline first.

Meet OrbitAI

Different disciplines, shared consequences.

You do not have to be an expert in every layer. The most useful work happens where our expertise connects.

Make models understand change, space and time.

Work on the questions behind trustworthy intelligence: geospatial learning, temporal patterns, domain context, evaluation and uncertainty.

  • Geospatial AI
  • Climate & domain models
  • Evidence & evaluation
See current opportunities These are areas of contribution. Current vacancies and requirements are listed on our careers portal.

Curiosity in the lab, accountability in the world.

Let evidence lead.

Challenge assumptions. Test against observations. Be clear about what we know and what still needs work.

Cross the boundaries.

Bring scientists, engineers, designers, domain specialists and customer teams into the same conversation.

Own the outcome.

A model metric is a starting point. Keep asking how the work helps someone make a better decision.

Keep learning.

The world changes. So do our tools and understanding. Make room for experiments, feedback and new perspectives.

Room to do your best work

Build your craft. Grow your perspective.

Learn across disciplines, work on enterprise problems and see your contribution become part of a larger system.

Explore the role-specific location, working arrangements and requirements with our hiring team.

The physical world needs your intelligence.

If you want your work to matter beyond the screen, start here.

Find your next role at Cropin

View current roles, locations and requirements, and apply directly through Cropin’s careers portal.

Get to know Cropin