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J.A.N.E. OS
JOINT AGRICULTURAL NEURAL ENGINE

The intelligence layer for modern cultivation.

J.A.N.E. connects plant health, environmental intelligence, facility operations, predictive simulation, compliance evidence, and governed automation in one operating system.

Start free—no card required. Physical control requires compatible commissioned equipment and verified safety gates.

GOVERNED INTELLIGENCE

Observe. Understand. Simulate. Act—with evidence.

VisionCrop observations
OperationsFacility context
TwinModeled outcomes
ControlVerified authority

J.A.N.E. keeps AI suggestions, simulation evidence, physical observations, and authorized equipment actions distinct.

HOW AUTONOMOUS CONTROL WORKS

From detection to verified correction.

J.A.N.E. does not bypass the facility controller. It evaluates a correction, applies safety and authority checks, routes approved commands through the commissioned Edge path, then verifies the controller response with signed telemetry.

How autonomous corrections work in J.A.N.E.: detect a need, safety and decision check, command preparation, secure command pipeline, controller update, signed verification, and full audit trail.

On smaller screens, swipe horizontally to inspect the full control path.

ONE OPERATIONAL SYSTEM

Built around the real cultivation lifecycle

Useful for individual growers today, with facility intelligence and commissioned automation available as operations mature.

Plant Health Vision

Fast and deep image analysis with structured observations, evidence storage, and operator feedback.

Facility Intelligence

One operational context for crop health, rooms, equipment, alerts, maintenance, and specialized AI agents.

Digital Twins & Simulation

Model cultivation, environmental response, harvest maturity, post-harvest pathways, quality, and economics before physical action.

Governed Operations

Facility-scoped workflows, attributable evidence, compliance support, and commissioned controls with explicit safety gates.

EVIDENCE BEFORE AUTHORITY

Designed to be honest about what the system knows.

  • AI observations are decision support—not guaranteed diagnoses.
  • Simulation results are labeled separately from physical evidence.
  • Facilities and customer records remain access-scoped.
  • Physical commands require commissioning, authorization, and readback.