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.
Three-Layer Architecture
Three layers. One operational outcome.
01
Field Robot
Mobile execution
Rugged mobility · route execution · remote supervision
02
Agricultural Payload
Mission sensing
RGB · thermal · depth · GNSS/RTK · optional VIS-NIR
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.

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

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
01
Mission Queue
02
Evidence Panel
03
Recommended Action
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.