Zonivora AI connects grower requests, field assessment, agronomic prescriptions, equipment readiness, field execution, quality acceptance and settlement in one workspace. AI helps surface evidence gaps and operational exceptions, while qualified people approve agronomic, safety, quality and billing decisions.
About Zonivora AI
Zonivora AI connects the physical field job to its supporting evidence, so service providers can follow every handoff from request to accepted invoice.
Eight modules share one continuous operational record. Verify the field, approve the prescription, release the work order, reconcile as-applied evidence and settle only accepted work.
Confirm authorization, boundary, acreage and access before work begins.
Turn agronomic evidence into versioned, machine-ready treatment instructions.
Compare planned treatment with actual coverage, rates and material use.
Link quality acceptance, compliance records, billing and grower handover.
Built for your operation
Zonivora AI is designed for precision-agriculture service providers, agronomic consultants and variable-rate application contractors — from grower request to accepted settlement.
Agritech services
Evidence-grounded field service, from grower request to accepted settlement.
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Operational intelligence for agriculture and agribusiness service providers.
Open site(opens in a new tab)Dashboard
Zonivora AI brings active jobs, field readiness, prescription approvals, execution exceptions, quality acceptance and settlement status into one place. Its automations extract field evidence, detect anomalies, prioritize exceptions and prepare reviewable actions while source records and authorized approvals determine what happens next.
Illustrative Zonivora AI workspace with synthetic field-service data. Expand to explore the dashboard and its callouts.
Eight connected modules
Zonivora AI automates evidence intake, field mapping, rate calculations, readiness checks, execution monitoring, exception routing and settlement preparation across the service lifecycle. Human approvals remain explicit at authorization, prescription, dispatch, quality and billing gates.
Receive grower requests, verify authorization and field identity, reconcile treatable acreage, prepare a quotation and assign the assessment. AI extracts request data, detects boundary conflicts and drafts the quote for approval.
Reconcile soil samples, laboratory results, scouting observations, GNSS points and imagery into a verified assessment and management-zone map. AI extracts lab values, flags duplicate samples and surfaces evidence gaps without replacing agronomic interpretation.
Build versioned, zone-specific treatment instructions with units, product quantities, exclusion areas and agronomist approval before machine export. AI checks calculations, unit compatibility and unusual rate changes before a human authorizes the prescription.
Schedule operators, allocate machinery and materials, record calibration and readiness checks, then release the field-executable assignment. AI finds resource conflicts, missing checks, maintenance patterns and weather-related readiness risks.
Supervise authorized application with planned versus recorded coverage, rates, GNSS quality, refills, interruptions and field exceptions. AI detects rate deviations, positioning changes, abnormal stops and material-use discrepancies in the execution evidence.
Compare as-applied evidence with the prescription, reconcile material use, check applicable safety and regulatory records, and obtain acceptance. AI calculates coverage variance, identifies missing documents and drafts evidence-linked findings for the inspector.
Reconcile accepted hectares, material consumption, machinery time, approved extras and evidence before invoicing and grower handover. AI extracts billable quantities, flags unsupported charges and prepares a completion summary from accepted records.
How it works
Zonivora AI follows the operational lifecycle: verify the field, assess evidence, approve the prescription, prepare and execute work, inspect the result, then settle accepted service. Each handoff carries its records and approval requirements.
Confirm authorization, field identity, boundary, acreage, access and the requested service.
Reconcile samples and agronomic evidence, then prepare a versioned, machine-ready treatment plan.
Check calibration, equipment, materials and operators, then record actual coverage, rates and exceptions.
Compare as-applied evidence with the prescription, verify applicable records and document corrective action.
Bill only accepted hectares and approved extras, then deliver the final field-service handover.
Retain the accepted completion package, invoice, payment record and grower handover for future review.
AI orchestration
Don't settle for the AI your software chose.
Use a platform designed to harness the best intelligence available for the work in front of you.
Most farm software bolts one vendor's model onto its screens. Zonivora AI puts an orchestration layer between your workflow and the models, so a laboratory report, prescription revision, machine export and grower request can each go to the model that handles it best.
“You work within its limits.”
Supplier CoA extraction
Document model
Replenishment plan
Reasoning model
Best fit
Supplier inbox triage
Fast language model
Frontier & specialist models → best model for the task
Evidence-backed suggestions · human approvalModel names belong to their providers; shown as models the orchestration layer can route to — no partnership implied.
Note: Routed to today for everyday planning, writing and analysis.
Note: Can be switched on per workflow when a task suits them.
Note: Open-weight models that fit private, self-hosted deployments.
Note: New frontier and domain models (e.g. document models for supplier records) are evaluated as they are released, then added.
Note: Model and provider names are illustrative of Zonivora AI integration patterns; trademarks belong to their respective owners. Routing is configured per tenant and data boundary. The product-specific workflows remain field-service evidence, approvals and exceptions.
Tools & integrations
Zonivora AI brings GIS, farm-system, machine, laboratory, accounting and messaging records into the field-service lifecycle. Connections are scoped during onboarding using available APIs, exports, webhooks or controlled imports.
Zonivora AI field records in the integration model
workflow groups, from ERP to automation
connected operational modules
Feeds: Settlement · Dashboard
Reconcile accepted hectares, approved extras, material use and invoices with your accounting records. Sync direction and fields are agreed during onboarding.
Feeds: Field Assessment · Prescriptions · Field Operations
Bring field boundaries, sampling observations, management zones and machine evidence into the same field-service record where source access is available.
Feeds: Service Intake · Field Assessment · Quality Control
Import grower requests, laboratory reports, inspection evidence and field documents for extraction, reconciliation and controlled review.
Feeds: Work Orders · Field Operations · Quality Control
Route equipment holds, weather exceptions, coverage findings and corrective actions to the responsible team for review.
Feeds: Dashboard · Quality Control · Settlement
Export field readiness, coverage variance, accepted area and settlement metrics so operational reviews run on the same product records.
Feeds: Any Zonivora AI module
Scope webhooks and automation recipes for record handoffs, exception notifications and evidence requests. Quality acceptance remains an authorized human decision.
Feeds: Settlement · Dashboard
Reconcile accepted hectares, approved extras, material use and invoices with your accounting records. Sync direction and fields are agreed during onboarding.
Feeds: Service Intake · Field Assessment · Quality Control
Import grower requests, laboratory reports, inspection evidence and field documents for extraction, reconciliation and controlled review.
Feeds: Dashboard · Quality Control · Settlement
Export field readiness, coverage variance, accepted area and settlement metrics so operational reviews run on the same product records.
Feeds: Field Assessment · Prescriptions · Field Operations
Bring field boundaries, sampling observations, management zones and machine evidence into the same field-service record where source access is available.
Feeds: Work Orders · Field Operations · Quality Control
Route equipment holds, weather exceptions, coverage findings and corrective actions to the responsible team for review.
Feeds: Any Zonivora AI module
Scope webhooks and automation recipes for record handoffs, exception notifications and evidence requests. Quality acceptance remains an authorized human decision.
Note: Tool names and marks belong to their respective owners. No endorsement or partnership implied. Zonivora AI integrations are scoped to the field-service records, approved connectors and data boundaries confirmed during implementation; unsupported services are not included.
Industry AI agents
Not chatbots. Operational agents built around the agricultural service lifecycle — your fields, samples, prescriptions, equipment and as-applied records — connected to the tools you already run.
01Workflow
Field service lifecycle
02AI agents
Find evidence gaps and exceptions
03Connected tools
GIS, machine exports, lab and ERP records
04Execution
Prepares reviewable actions
05Outcome
Accepted work, defensible settlement
Compliance
Zonivora AI helps organize the field records your team already works with: prescriptions, calibration checks, as-applied evidence, inspections, corrective actions and grower acceptance. These are focused record-keeping workflows, not complete compliance or certification services.
Note: Keep product, field, rate, date, applicator and treated‑area evidence together where pesticide work is in scope. The platform supports record organization; it does not determine jurisdiction‑specific obligations.
Note: Capture label‑driven timing checks and surface missing evidence for agronomist or compliance review. Product labels and local authority requirements remain the source of truth.
Note: Link operator assignments, equipment checks, training evidence and field restrictions to the work order. Safety decisions and certification remain with the responsible employer and qualified personnel.
Note: Assemble prescriptions, calibration sheets, as‑applied evidence, inspection findings and grower acceptance for review. This supports audit preparation, not certification or legal advice.
Note: These are operational and regulatory evidence categories the platform can support inside your workflows. They are not certifications held by us, and product support is not a substitute for your agronomist, safety lead, compliance officer or legal counsel.
HARDWARE ADD-ONS
Use compatible devices to collect field, sampling, positioning and application evidence. The platform accepts controlled exports when a live connection is unavailable; connector scope and model compatibility are confirmed during implementation.
Service Intake · Field Assessment · Field Operations
Capture field boundaries, sampling locations and machine position with a documented coordinate reference.
Field Assessment
Record sampling depth, moisture observations and point-level field evidence during assessment.
Prescriptions · Work Orders · Field Operations
Capture implement calibration, meter output and actual rate evidence during field execution.
Service Intake · Quality Control · Settlement
Digitize grower requests, laboratory reports, delivery tickets, labels and inspection records.
Note: Illustrations show generic equipment categories. Actual models, file formats and connector compatibility are confirmed for your implementation.
Note: Hardware, installation, and integration are not included in the standard subscription. Additional charges apply based on the hardware selected, integration modules required, and implementation scope.
Pricing
Zonivora AI is priced as a single subscription for the whole agricultural service command layer, with no per-module add-ons and no seat maths to decode.
Starting at
$200/mo
Onboarding
A one-time setup that gets your field-service team live before the first monthly cycle: we map growers, fields, boundaries, rate cards, equipment, historical evidence and approval roles, then connect the systems and exports your operation already uses. Every fee below is a starting point; final scope depends on your sites, data, integrations, compliance requirements and deployment model.
Note: One site, core data and a fast field-service rollout.
from
$1,000+one-time
Starting price. Final scope is set to your requirements.
Includes:
Note: Your GIS, machine exports and lab evidence connected.
from
$2,500+one-time
Starting price. Final scope is set to your requirements.
Everything in Essential, plus:
Note: Multi-site, private and inspection-ready deployment.
from
$5,000+one-time
Starting price. Final scope is set to your requirements.
Everything in Plus, plus:
Deployment
The subscription is the same either way. Only the one-time onboarding may differ with your requirements.
Note: Runs in Nestack's managed cloud. We handle hosting, scaling, updates and backups, so field records, alerts and approval workflows are available without infrastructure to stand up.
Note: The same platform deployed inside your own cloud / VPC or on-prem. Field boundaries, prescriptions, machine evidence and grower records stay in your environment, and the monthly subscription stays exactly the same.
Note: Deployment, data residency, connector access and hardware compatibility are confirmed for Zonivora AI during implementation; unrelated services and unsupported devices are not included.
FAQs
What Zonivora AI needs from you, how it handles field evidence and compatibility, and how pricing and onboarding work.
It connects the service lifecycle from grower request and field verification through assessment, prescription, work order, as-applied evidence, quality acceptance and settlement. AI surfaces gaps and anomalies; qualified staff remain responsible for approval and field decisions.
During onboarding we assess APIs, shapefiles, GeoJSON, ISOXML, CSV exports, document formats and accounting workflows. Compatibility depends on the source system, licences, access permissions, coordinate reference systems and connector scope.
No. It can extract evidence, check units, flag unsupported changes and prepare recommendations for review. Agronomists and other qualified personnel approve prescriptions, application decisions, safety requirements and regulated work.
The monthly subscription starts at the price shown in Pricing, plus a one-time onboarding fee scoped to your fields, data, integrations and deployment. AI usage credits, hardware, connector work, additional sites and implementation services may be charged separately.
Book a live demo to explore the eight modules with our team and discuss your own operating process. If you need a pilot or trial environment, ask during the demo; its availability, scope and terms are agreed separately.
Onboarding can cover field and grower master data, boundaries, historical assessment records, rate cards, equipment and calibration templates, role approvals, machine/file mappings, compliance evidence fields and team training. Final scope is agreed after the technical review.
No. GNSS/RTK receivers, sampling devices, application monitors, scanners, installation and connector work are outside the standard subscription. The platform supports controlled exports when live telemetry is unavailable, but specific models and file mappings are confirmed during implementation.
Yes. Authorized users can upload machine exports and record documented field observations for later reconciliation. The interface distinguishes historical or intermittent evidence from current live telemetry, and any live connector is scoped separately.
