AGK9

The AGK9 Platform

Field body.
Operational brain.

AGK9 provides mobile sensing and field execution. AiFOS—the AI Agent-Driven Operating System—provides supervised operational intelligence from signal to verified outcome.

RobotMobile platform01PayloadAg mount02SensorsRGB · Thermal · Depth03Edge AIFilter · Prioritize04AiFOSOperating intelligence05OperatorApprove · Work orders06EXPLODED SYSTEM VIEW

Three-Layer Architecture

Three layers. One operational outcome.

  1. 01

    Field Robot

    Mobile execution

    Rugged mobility · route execution · remote supervision

  2. 02

    Agricultural Payload

    Mission sensing

    RGB · thermal · depth · GNSS/RTK · optional VIS-NIR

  3. 03

    AiFOS

    Operating intelligence

    Mission planning · evidence · approvals · work orders

AGK9 provides the mobile sensing and field-execution layer. AiFOS provides the operational intelligence layer—understanding farm context, planning missions, coordinating data, recommending action, and documenting outcomes.

High-value orchard rows

Field Unit

Designed to move where wheeled systems struggle.

The quadruped form factor is intended for orchard rows, uneven ground, irrigation lines, narrow access areas, and infrastructure sites where low-speed, close-range observation matters.

  • Route following — Pilot
  • Teleoperation — Pilot
  • Geofencing — Pilot
  • Day/night sensing — Unverified
  • Return-to-base or assisted retrieval — Unverified

Final capabilities and specifications depend on the selected pilot configuration.

Agricultural Sensor Payload

The right sensors for the mission—not sensors for their own sake.

AGK9 uses modular payloads so a pilot can begin with proven visual and thermal inspection, then add advanced sensing only when it improves a defined farm decision.

  • High-resolution RGB cameraPilot
  • Thermal cameraPilot
  • Depth or LiDARPilot
  • RTK / GNSSPilot
  • Acoustic / environmental sensingPlanned
  • Optional VIS-NIR spectral modulePlanned
Vineyard canopy environment

Agricultural operating environment

AiFOS Workflow

The value is not the footage. The value is an agent that moves the operation forward.

AiFOS organizes data by farm, block, row, irrigation zone, asset, time, and severity. AiFOS Agents combine farm rules, sensor events, robot observations, historical patterns, and operator priorities to propose missions, summarize evidence, recommend next steps, generate work orders, and schedule verification. Human operators approve safety-critical actions and can override every recommendation.

Conceptual AiFOS Agent Interface

Illustrative AiFOS workflow interface

  1. 01

    Mission Queue

  2. 02

    Evidence Panel

  3. 03

    Recommended Action

  4. 04

    Approval / Work Order

Agents may prioritize, propose, summarize, and coordinate. Safety-critical actions require human authorization.

AiFOS Agents

Specialized agents. One supervised operating picture.

AiFOS Agents support mission planning, evidence review, and operational coordination while keeping human operators in control.

  • 01

    Irrigation Integrity Agent

    Correlates WaterWhistle and field data, prioritizes suspected leaks or blockages, proposes verification routes, and tracks repair confirmation.

  • 02

    Crop Scout Agent

    Plans repeatable visual, thermal, and future spectral missions; highlights change over time; and routes findings to agronomic review without claiming autonomous diagnosis.

  • 03

    Infrastructure Agent

    Monitors inspection schedules and evidence for pumps, wells, filters, solar, batteries, gates, and other approved assets.

  • 04

    Mission Operations Agent

    Balances priorities, weather, route availability, battery state, site rules, and human approvals to maintain the mission queue.

  • 05

    Reporting and Follow-Up Agent

    Produces daily briefs, creates work-order drafts, requests missing information, and schedules verification missions.

Fixed + Mobile Intelligence

Mobile inspection works best with fixed farm data.

AGK9 can integrate with WaterWhistle irrigation-monitoring nodes, weather data, pump and energy systems, farm maps, and other approved data sources. An AiFOS Agent can correlate those signals, prioritize the location, propose or dispatch an AGK9 inspection, interpret the returned evidence, and prepare the next operational step for human approval.

Example workflow: Pressure anomaly → AGK9 dispatch → visual confirmation → work order.

Deployment Models

Deploy the mission that fits the farm.

  • 01

    Supervised Field Scout

    Farm staff launches and supervises missions.

  • 02

    Scheduled Inspection

    Repeated routes with exception-based human review.

  • 03

    Multi-Site Operations

    Centralized monitoring across farms or infrastructure sites.

  • 04

    Agent-Orchestrated Farm Operations

    AGK9 plus fixed sensors, AiFOS Agents, approved controls, people, and third-party systems.

Availability depends on pilot phase and site safety review.

Product Roadmap

Practical first. Expandable by design.

01

V0 · Demonstration

RGB, thermal, mapping, remote or supervised patrol.

02

V1 · Pilot

Repeated routes, AI Agent mission queue, anomaly workflow, human approvals, work orders, and fixed-data integration.

03

V2 · Ag Scout

Validated spectral and crop-specific models.

04

V3 · Light Operator

Carefully scoped reading, sampling, or other non-hazardous agricultural tasks.

Discuss your farm.

Share the mission you need to prove—irrigation, crop health, infrastructure, or patrol—and we will help define a practical pilot.