Harvest and crop-care robotics, greenhouse automation, vision-based quality, and on-field edge inference
Agrifood and horticulture robotics is product work under the hardest field conditions: perception through leaves and dirt, gentle manipulation of variable produce, hygiene-zone and washdown constraints, and economics set by harvest windows rather than year-round duty cycles. We lead these products through the same lifecycle as every Physical AI product — strategy, discovery with growers and operators, productization against ISO 18497 autonomy safety, launch into a season, and scale across crops and sites.
We lead agrifood robotics from technology to product: discovery with growers, operators and agronomists; intended-use and autonomy-boundary decisions; evaluation that spans simulation, greenhouse trials and in-season validation; and launch plans built around harvest calendars. Engagement model: the Hyperion Physical AI Product System — strategy, discovery, productization, launch and scale, each stage decision-gated, with capability transfer throughout.
Based on common industry needs
Twelve to twenty-four weeks to risk-classify your AI systems, complete the conformity assessment, produce the Annex IV technical documentation, and stand up post-market monitoring — with special depth on Annex III high-risk categories for autonomous, industrial, and robotics deployments
The Full-Stack Physical AI layers most relevant to this sector.
A 30-minute call is enough to diagnose whether your AI initiative is stuck for industry-specific reasons — and what to do about it.