FullNav.ai

A new corpus is being built.

FullNav.ai is building the data, simulation, and training infrastructure for robots that work outside, across fields and bins, on job sites and construction sites, and across yards and industrial grounds, including the FullNav.ai Navigator robots that put it to work.

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Robot-agnostic field data, physically measured simulation worlds, outdoor-grade evaluation, robot training as a service, and specialized Navigators for sale.

Physical AI has mostly learned indoors.

Today's robot foundation models are trained largely on kitchens, warehouses, and carefully controlled factory benches.

The outdoors is a different world. Muddy ground shifts under a robot's feet. Crops change week to week. Dust, glare, and rain blind cameras. Animals, people, and machines move. The machines nearby weigh tons.

A robot that has never seen those conditions will not be optimized for work in them, and the data that would teach it has never been collected at scale. That is the corpus we are building.

Terrain
Slopes, ruts, soft and saturated soil, gravel, stubble, rubble
Materials
Granular media, mud, deformable plants, fruit, livestock, rebar and aggregate
Conditions
Weather, low sun and night, dust, seasonal and regional variation, noise and interference
Machines
Tractors, on and off-road vehicles, implements, loaders, telehandlers, sprayers, and their control buses
Scale
Work measured in lives, acres, rows, bushels, pallets, yield, bags, gallons, and shifts, not tabletop reaches or controlled environments
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How a robot learns the outdoors.

Our data engine is built in layers. Each one is useful on its own, and each one makes the layer above it more valuable.

FieldBench

Evaluation

Proof before a robot goes to the field. FieldBench is a benchmark suite of outdoor tasks with shared success criteria, so model builders, OEMs, and buyers can compare systems on the work that matters instead of on lab demos.

  • Tasks across agriculture, construction, and industrial yards
  • Progressive difficulty with weather, light, and season variation
  • Cross-embodiment scoring: arms, mobile manipulators, humanoids, autonomous machines
  • Simulation results correlated against real field trials

Field Corpus

Behavior

Human expertise, recorded where the work happens. FullNav.ai crews capture operator-perspective demonstrations alongside real farms and job sites, synchronized with the telemetry of the machines already in use.

  • Head-, wrist-, and body-worn multimodal capture: RGB-D, pose, force, and audio
  • Machine data from ISO 11783, J1939, CAN bus, GNSS, and OEM APIs
  • Frame-accurate task segmentation with plain-language labels
  • Robot-agnostic: no specific hardware required to learn from it, unless you want us to build a custom solution for you

Field Worlds

Simulation

Simulation built from measured ground truth. Physically accurate outdoor assets and scenes, calibrated against real soil, plants, sites, and equipment, so robots can practice millions of times before they touch a real crop or a real site.

  • Terrain, soil, and granular media with measured physical properties
  • Crops and orchards across growth stages, with realistic stems and fruit detachment
  • Implements, attachments, and construction materials
  • Weather, lighting, and seasonal randomization for robust training

FullNav Platform

For enterprise teams, the platform brings worlds, corpus, training, and evaluation together in one stack, delivered in the cloud or on-premise, with access controls for proprietary and defense-sensitive data.

FullNav Hub: the open home for outdoor robotics.

Datasets, simulation assets, trained policies, and benchmark results in one searchable place, each with a card that explains how it was captured, what it covers, and how it may be used.

Delivered ready for training. Time-synchronized, calibrated, and available in LeRobot, RLDS, OpenUSD, and ROS 2 formats.

  • Open datasets for research

    Curated releases of field recordings and scenes, free for academic and non-commercial use, so the whole field can build on a common foundation.

  • Commercial licenses for builders

    Full-scale corpus access, custom collection, and exclusive task datasets for robotics companies and foundation-model teams.

  • Policies and model cards

    Pretrained outdoor skills with documented training data, intended use, known limits, and FieldBench scores.

  • A public leaderboard

    Submit a model, get scored on FieldBench, and see how it performs against other systems on the same tasks.

  • A paid contributor network

    Growers, operators, OEMs, and universities contribute recordings under clear agreements and are paid for the data they provide.

Three ways to work with FullNav.ai.

License the data. Have us train your robot. Or buy one that already knows the job.

License

For robotics companies and foundation-model teams

Access Field Worlds, the Field Corpus, and FieldBench through the Hub or the enterprise platform. Commission custom collection for the crops, sites, and tasks you are targeting.

Ask about data licensing

Train

Robot training as a service, for OEMs and hardware makers

Bring your robot or model. We take it from a capable machine to one that completes a specific outdoor job.

  1. Scope the task, the site, and the success criteria
  2. Capture demonstrations on real operations
  3. Train and fine-tune in Field Worlds and in the field
  4. Validate on FieldBench and live trials
  5. Deploy with over-the-air updates and ongoing improvement
Talk to us about training your robot

Buy

For growers, co-ops, contractors, and industrial operators

Navigator robots arrive trained for defined tasks, supported through the dealers and channels you already work with, and improve over time.

Meet the Navigators

A loop that compounds in value.

Every stage produces data the next stage needs. Every robot in the field feeds the start of the next cycle.

  1. Capture

    Record experts and machines on real operations

  2. Simulate

    Turn measured reality into trainable and physically accurate simulation worlds

  3. Train

    Build policies for specific outdoor tasks

  4. Evaluate

    Score them on FieldBench and in field trials

  5. Deploy

    Ship as licensed models or integrated into Navigator robots

  6. Return

    Field results, edge cases, and failures flow back

The result is a growing, proprietary record of how physical work is done outdoors, creating an asset that becomes harder to replicate with every season.

Who we build for.

Robotics and foundation-model teams

Outdoor data, worlds, and benchmarks to extend general-purpose models beyond indoor settings.

Equipment OEMs

Autonomy stacks and trained skills licensed to enhance existing production machinery, plus training services for new platforms.

Growers, co-ops, and ag retail

Navigator robots for field, orchard, livestock, and facility work, sold and supported through trusted channels.

Construction, industrial, and logistics operators

Coordinate robots and fleets across sites, fields, and yards with real-time condition monitoring.

Security and defense

Secure infrastructure, data, and modeling layers for advanced on and off-highway use cases, deployable on-premise and in regulated environments.

Why FullNav.ai.

We come from the field

Our leadership has built agricultural data platforms and led agribusiness technology at global cloud scale.

We speak the machines' language

Deep experience with the control buses, telemetry, and OEM systems that outdoor equipment already runs on.

Our data is scientific-grade

Captured by trained staff under documented protocols, not scraped, so it can be trusted, audited, and licensed.

Build the outdoor corpus with us.

We are working with a first group of data partners, OEMs, and operators.

Tell us what you need.

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