AIVA OS · COMMERCIAL ENGAGEMENT
Integrate the AI operating layer for agriculture. Build your own agronomic use case, validate with machine and software interfaces. No Subscriptions. No Tokens. Pay Per Usage.
Agri Businesses, OEM and Design partners welcome
Agricultural Intelligence, Validated Automation
THREE WAYS TO WORK WITH AIVA
Each engagement begins with a scoped feasibility review. Commercial terms follow the actual development stage, data rights, interfaces and validation requirements.
01 · VALIDATE
Co-design an agronomic decision workflow with a farm, adviser, cooperative or applied-research partner.
Deliverable: evaluated demonstration, pilot report and next-stage scope
Discuss an NPK pilot02 · INTEGRATE
Explore reusable interfaces for a digital farming application, equipment gateway or controller.
Deliverable: integration feasibility and a scoped development plan
Discuss integration03 · SCALE
Jointly investigate embedding or exposing agricultural intelligence through existing OEM software and hardware.
Deliverable: agreed validation milestones and OEM roadmap
Explore OEM collaborationCOMMERCIAL FRAMEWORK
Rather than advertising production-ready per-device fees before platform and integration validation, we scope the parts that drive cost and agree commercial terms with each partner.
Defined use case, data access, deliverables, pilot period and acceptance criteria. Pricing agreed after discovery.
One-time engineering or NRE for supported interfaces, model deployment and testing, based on actual scope.
Intended future licence options include deployment, site, device or enterprise agreements following technical and commercial validation.
Customer-supplied equipment, cloud or edge inference, third-party data and field operations are scoped separately.
WHAT IS AIVA OS
AIVA OS is designed to sit between agricultural data and real-world workflows, rather than replace OEM control systems or farm software.
Bring together crop, field, soil, weather and operation state with provenance and locally appropriate constraints.
Select and run task-appropriate models with awareness of input availability, compute and connectivity requirements.
Check model outputs against agronomic policy and operator authorisation before operational use.
Translate approved recommendations into documented software or equipment workflows through suitable adapters.
FIRST REFERENCE APPLICATION
Our demonstration combines available soil measurements, vegetation indices, weather and management records into transparent, locally validated nutrient recommendations. Machine-ready prescription outputs are integration objective.
Inputs, recommendations and crop response measured separately
Compare quality, productivity and economics with a defined baseline
Measure repeat engineering days and portability across interfaces
No AIVA-specific nutrient savings, yield gains or integration reductions have yet been validated. Published precision-agriculture outcomes are not product guarantees.
COMMON QUESTIONS
AIVA OS is production ready. Application and domain speicific runtime, machine adapters and NPK validation are planned development work.
As ours is a highly customizable middleware platform, we scope design pilots and integration projects individually. Device, site and OEM recurring licences are prospective commercial models.
No. AIVA is intended to complement existing agricultural systems. Machine commands require compatible interfaces, safety evaluation, appropriate permissions and operator or OEM approval.
NPK management provides a measurable agricultural use case for testing context, recommendation validation and reuse across systems. Agronomic models and rules must be adapted for each crop and region.
Yes, AIVA core supports integration with dairy farm IoT and sensor fusion.
Yes. Grower organisations, farm advisers and service providers can help define workflows, access representative data and validate practical value. OEM or AgTech partners can support technical integration.
Bring us your agronomic workflow, data environment or equipment integration challenge. We will explore the smallest credible pilot and the evidence needed for a broader deployment.
Contact FarmVizion