NXTektal Systems
Become a Pilot
FACILITY INTELLIGENCE FOR AUTONOMOUS OUTDOOR OPERATIONS

The intelligence layer for autonomous golf facilities.

NXTektal helps physical facilities understand their environment, make operational decisions, and coordinate robots, equipment, and people — starting with closed-loop operations at driving ranges.

Become a Pilot Facility Explore the First Workflow
State — monitoring Decision — collection priority updatedExecution — available
30+
Facilities contacted
Over two-thirds
Reported labor, safety, and reliability challenges
6
Facilities interested in piloting

Based on NXTektal customer discovery to date.

PHYSICAL FACILITIES LACK OPERATIONAL INTELLIGENCE

Outdoor facilities are full of equipment, but still lack a system that understands what is happening.

Facilities operate through disconnected equipment, manual decisions, and fixed workflows. The challenge is not only automation — it is understanding the current state of the environment, deciding what should happen next, and continuously improving operations over time.

Disconnected systems

Equipment, people, and workflows often operate independently without a shared understanding of facility state.

Reactive decisions

Operators often respond after problems appear instead of receiving proactive recommendations.

No operational memory

Facilities repeat decisions without systematically learning from past outcomes.

Autonomous facilities require more than machines. They require a system that understands state, makes decisions, learns from outcomes, and coordinates execution.

WHY DRIVING RANGES

Why start with driving ranges?

Ball operations are repetitive, labor-intensive, and directly tied to customer experience—which makes the driving range a practical place to prove reliable autonomy and measurable operating economics before expanding across the facility.

FIELD OBSERVATION
At one driving range, collection runs can occur roughly every two hours, take more than an hour, and still require manual unloading and transfer afterward.

Repetitive workflow

Collection, unloading, and transfer happen throughout the operating day.

Operationally critical

When the ball supply breaks, customers notice immediately.

Measurable economics

Labor hours, run frequency, interventions, downtime, and ball availability can all be tracked.

CURRENT WEDGE · IN DEVELOPMENT

Keeping range balls moving, end to end.

The intelligence layer monitors ball availability, decides when collection is worth running, and verifies the result — the Autonomous Collection System executes: collecting, returning to the handoff point, and transferring balls into the range’s existing processing equipment.

  1. MONITOR

    Ball availability and demand are tracked across the range.

    Range Operations Simulator monitoring ball availability and demand across range zones early in the operating day
    Range Operations Simulator — simulation results, not live facility data.
  2. PRIORITIZE

    The Range Operations Agent decides when collection is worth running.

    Range Operations Simulator weighing zone demand and robot availability before dispatching collection
    Range Operations Simulator — simulation results, not live facility data.
  3. DISPATCH

    A mission is issued to the collection system.

    Range Operations Simulator dispatcher decision assigning collection of zone Z2 to robot R1
    Range Operations Simulator — simulation results, not live facility data.
  4. COLLECT

    The robot sweeps priority zones and fills its hopper.

    NXTektal collection robot sweeping scattered range balls into its front roller picker on a driving range at dawn
  5. RETURN

    It navigates back to the handoff point.

    Aerial view of the golf facility with glowing coordination routes and waypoint markers tracing robot paths across the grounds
  6. HANDOFF

    Balls transfer into the modular handoff unit.

    A robotic arm at the NXTektal handoff station tipping a loaded basket of range balls into the ball-handling system's intake
  7. WASH & DISPENSE

    The facility’s existing equipment processes and returns balls to players.

    Golf balls churning in the washer trough while an elevator conveyor carries cleaned balls up toward the dispenser
  8. VERIFY

    The workflow is confirmed complete and logged for review.

    Range Operations Simulator final summary reporting service availability, balls processed, interventions, energy use, utilization, and estimated operating cost
    Range Operations Simulator — simulation results, not live facility data.

Range Operations Agent

Monitors demand, equipment state, and mission status, then determines when collection is needed.

Autonomous Collection System

Collects balls, navigates the range, returns to the handoff point, and recharges between missions.

Modular Ball Handoff

Connects collection with the facility’s washer and dispenser infrastructure to reduce routine manual transfer.

DESIGNED FOR EXISTING INFRASTRUCTURE

Keep the equipment already on site.

NXTektal is being designed around common wash-and-dispense configurations rather than requiring a facility to replace its entire system. Site-specific calibration and modular interfaces connect the workflow where needed.

TYPICAL CURRENT WORKFLOW

  1. Collection equipmentEXISTING EQUIPMENT
  2. Manual unloadingMANUAL
  3. Existing washerEXISTING EQUIPMENT
  4. Manual transferMANUAL
  5. Existing dispenserEXISTING EQUIPMENT
  • Fixed or manual dispatch
  • Separate task and equipment states
  • Manual handoffs
  • Limited end-to-end verification

WITH NXTEKTAL

  1. Monitor & PrioritizeNXTEKTAL
  2. Autonomous CollectionNXTEKTAL
  3. Modular HandoffNXTEKTAL
  4. Existing Washer & DispenserEXISTING EQUIPMENT
  5. Verify & ReportWORKFLOW STATUS
  • Demand-aware dispatch
  • Coordinated equipment state
  • Reduced routine manual transfer
  • End-to-end workflow status

WHAT STAYS

  • Existing washer and dispenser
  • Compatible receiving and storage equipment
  • Facility operating rules
  • Manager oversight and approvals

WHAT NXTEKTAL ADDS

  • Demand-aware monitoring and dispatch
  • Autonomous collection
  • Modular handoff
  • Workflow status and verification
  • Operating recommendations
  1. EXISTING EQUIPMENTCONCEPT SCHEMATIC
    DOCK

    Robot docks at the handoff point

  2. EXISTING EQUIPMENTCONCEPT SCHEMATIC
    TRANSFER

    Balls transfer into existing washing equipment

  3. EXISTING EQUIPMENTCONCEPT SCHEMATIC
    VERIFY & RELEASE

    Transfer verified — workflow logged

Engineering concept visualization

Compatibility and final integration are assessed site by site.

SIMULATION & OPERATING INTELLIGENCE

Test the operation before it reaches the field.

NXTektal’s Range Operations Simulator replays demand changes, robot states, dispatch decisions, handoff activity, and equipment constraints before an operating policy reaches a pilot site.

Simulation results — not live facility data.Replay of the NXTektal Range Operations Simulator showing multiple robot states, dispatch decisions, facility metrics, and final operating results.
Range Operations Simulator — working development environment. Demand-spike scenario shown.

Each run records service availability, throughput, stockouts, interventions, energy use, robot utilization, and estimated operating cost, allowing policies and failure responses to be compared under the same scenario.

  1. SIMULATE

    Model demand, robot availability, equipment delays, and failure conditions.

  2. COMPARE

    Measure availability, throughput, stockouts, interventions, energy, and utilization.

  3. MANAGER REVIEW

    Surface policy changes and operating recommendations for human review.

  4. OPERATE

    Coordinate approved tasks across robots, equipment, and workflow agents.

  5. IMPROVE

    Compare expected and observed outcomes to inform the next recommendation.

Simulation informs operating decisions. Field performance is validated separately during pilot deployment.

THE INTELLIGENCE LAYER · IN DEVELOPMENT

Robots are the execution layer. NXTektal is the intelligence layer.

NXTektal is being designed to understand facility state, decide what should happen next, remember what worked, and coordinate autonomous execution. The facility manager remains in control of goals, policies, and approvals.

  1. Physical WorldRobots · Sensors · Equipment · People · Environment

    The facility as it actually is — machines, terrain, weather, demand, and the people working in it.

  2. Facility StateWhat is happening?

    A current understanding of inventory, equipment, demand, terrain, resources, and constraints.

  3. Operational IntelligenceWhat should happen next?

    Determines priorities, risks, recommended actions, and resource allocation — the facility manager approves.

  4. Operational MemoryWhat has been learned?

    State, decision, human action, and outcome feed improved future decisions — each facility develops its own operational knowledge over time.

  5. Spatial Digital TwinWhere and how does everything interact?

    A living representation of terrain, infrastructure, equipment, operational zones, workflows, constraints, and the relationships between systems — not only visualization, but the operational state of the physical environment.

  6. Autonomous ExecutionHow actions happen

    Robots, sensors, connected equipment, and human workflows carry out approved work and report back.

NXTektal · Range OperationsIllustrative product concept — not live facility data
Operating normally · 1 exceptionIN DEVELOPMENT
RecommendationCONCEPT
Shift afternoon collection window −40 min

Observed demand peaked later than the current schedule on 6 of the last 7 days.

Pending approvalsCONCEPT
1 schedule adjustment

Recommended collection windows updated from observed demand.

AlertsIN DEVELOPMENT
Washer intake flagged 14:32

Interruption detected and routed for review with mission context attached.

Ball inventoryIN DEVELOPMENT
Above threshold

Dispenser supply holding through the afternoon peak.

Active missionIN DEVELOPMENT
Collection · Zone B

Returning to handoff point after priority sweep.

Robot statusIN DEVELOPMENT
1 active · charging window scheduled

Next mission window aligned with demand forecast.

Equipment statusIN DEVELOPMENT
Washer intake flagged

Manual intervention recorded and assigned for review.

Daily operations summaryIN DEVELOPMENT
  • Ball inventory remained above the operating threshold.
  • Collection demand peaked later than the current schedule.
  • One manual intervention was recorded and assigned for review.
  • A washer-intake interruption was detected and flagged.
  • Recommended collection windows were updated from observed demand.

Modules marked CONCEPT illustrate the platform direction and are not current functionality.

OPERATING ECONOMICS

Understand the operating cost of your current workflow.

Use your own labor, collection frequency, run time, and equipment costs to estimate the direct operating cost of today’s workflow.

NXTektal · Operating Cost EstimatorEstimates from your inputs — not a quote
What does one hour of range labor cost the facility?

Wage plus payroll taxes, insurance and benefits.

How often do employees collect balls?

For the current picker and carts. Leave blank if unknown — it will simply not be counted.

Complete the highlighted fields to calculate.

Open Full ROI CalculatorRequest a Site Assessment

Preliminary estimate based on the information and assumptions shown. It is not a quote, guarantee, or final operational assessment.

EXPANDING ACROSS GOLF

One operating layer. More workflows over time.

Illustrative managed golf-facility plan — not a specific customer facility.

NXTektal Operating Layer
  • Shared State
  • Prioritization
  • Dispatch
  • Verification
  • Learning
STARTING POINT

Range Ball Operations

  • Ball availability monitoring
  • Demand-responsive dispatch
  • Collection
  • Return
  • Automated handoff
  • Wash-and-dispense coordination
  • Workflow verification
IN DEVELOPMENT
EXPANDING ACROSS GOLF

Inspection and Grounds Care

  • Drone inspection and mapping
  • Turf and soil monitoring
  • Bunker maintenance
  • Mowing coordination
  • Localized maintenance
  • Equipment inspection
PLATFORM DIRECTION
FACILITY-WIDE AUTONOMY

One Coordinated Operating Layer

  • Shared facility state
  • Multi-robot scheduling
  • Predictive maintenance
  • Equipment logistics
  • Human-and-robot task coordination
  • Facility-wide operational reporting
LONG-TERM DIRECTION
BUILT FOR GOLF FIRST

Designed for managed outdoor environments.

Every managed outdoor environment has physical state, operational constraints, resources, workflows, and decisions. The tasks change — the intelligence problem does not. NXTektal applies the same intelligence layer across different facilities.

  1. SENSE
  2. PRIORITIZE
  3. DISPATCH
  4. EXECUTE
  5. VERIFY
  6. IMPROVE
  • Campuses
  • Parks
  • Sports Facilities
  • Resorts
  • Commercial Landscapes

LONG-TERM PLATFORM DIRECTION

BUILD EVIDENCE

What we are building now.

Software Intelligence

  • Range Operations SimulatorEARLY SOFTWARE BUILD
  • Range Operations AgentEARLY SOFTWARE BUILD
  • Facility state modelingEARLY SOFTWARE BUILD

Field Validation

  • Facility workflow mappingPILOT PREPARATION
  • Pilot preparationPILOT PREPARATION

Hardware Execution

  • Collection systemIN DEVELOPMENT
  • Mobile platformIN DEVELOPMENT
  • Mechanical integrationIN DEVELOPMENT
PILOT PROGRAM

Test the first workflow at your range.

We are speaking with facilities that want to evaluate equipment integration, workflow reliability, labor reduction, and ball availability in a real operating environment.

Assess

Understand the current collection, unloading, washing, and dispensing workflow.

Integrate

Configure collection, handoff, equipment interfaces, and operating rules.

Validate

Measure availability, labor requirements, interventions, reliability, and economics.

Become a Pilot Facility Discuss a Partnership
THE FOUNDERS

Built across customer development and robotics engineering.

Portrait of Matthew Huang

Matthew Huang

Co-Founder & Chief Executive Officer

Matthew is a UC Berkeley graduate who leads company strategy, customer development, fundraising, and North American partnerships.

matthew@nxtektal.com
Portrait of Steven Guo

Steven Guo

Co-Founder & Chief Technology Officer

Steven studies Physics and Economics at UC Berkeley and has hands-on experience in Formula SAE and competitive robotics. He leads robotics engineering, system architecture, and product development.

steven@nxtektal.com

Help build the first autonomous golf facilities.

We are looking for pilot facilities, equipment partners, and collaborators who want to help validate the first closed-loop workflow.

Become a Pilot Facility Discuss a Partnership