Agricultural Decision Assurance Infrastructure
AI-powered decision infrastructure for agriculture.
Agveriq uses AI to understand complex agricultural reality, then applies explicit evidence quality, jurisdiction-aware policy and deterministic assurance to determine what can be acted on — while preserving what was authorized, what happened and what resulted.
Where authority sits
Every layer can inform a decision. Only one can authorize it.
AI interprets the world. Deterministic assurance governs consequential action. Neither one can do the other's job.
The agricultural decision lifecycle
Connected end to end. Every stage is a record, not a step in a script.
Probabilistic world state → explicit evidence quality → deterministic authorization policy.
Models can be uncertain, stale or wrong. A rate limit, a pre-harvest interval or an applicator permission is not a matter of degree. Agveriq keeps those two things apart on purpose, so judgement stays explainable and permission stays provable.
What Agveriq does
Intelligence, context and accountability on every consequential decision.
Interpret the worldArchitected
Read agricultural reality as it arrives — text, voice, images, sensors, satellite, machine telemetry — and turn it into normalized, classified evidence and candidate claims. This is where AI does its work.
Qualify the evidenceNow
Observations, human assertions, model inferences and authoritative sources stay distinguishable rather than collapsing into "data" — each carrying its epistemic class, confidence and validity window.
Resolve the contextNow
Which rules apply to this exact farm, field, product, crop, time and destination? Jurisdiction resolves geospatially against versioned boundaries; policy arrives as signed packs carrying their own citations.
Decide deterministicallyNow
The Decision Airlock evaluates governed rules across every concern that can block an action, and emits a machine-verifiable proof tree. The same inputs always produce the same verdict and the same proof.
Authorize accountablyNow
A verdict states what the evidence and policy support. Authorization is a separate record made by an accountable person. Agveriq never issues a permit, and eligibility can never manufacture permission.
Prove what happenedNow
What was done is recorded against the authorization that allowed it, then attested and reconciled — matched, deviating, unverified or disputed. History is append-only, so decisions replay rather than get retold.
Built for the agricultural ecosystem
Infrastructure other systems can call.
Agveriq is designed to sit above and between the systems agriculture already runs on — software, equipment, finance, compliance, marketplaces and public-sector systems. These integrations are architected, not yet operational. Architected
Farm-management software
Embed evidence, decisions, and action records into farm operations.
Agronomy platforms
Add governed advice, evidence review, and authorization-aware recommendations.
Equipment manufacturers
Connect equipment telemetry to authorized actions and execution evidence.
Autonomous machinery
Gate machine actions with deterministic authorization and execution attestation.
Agricultural marketplaces
Check destination, buyer, and market constraints before commitments.
Insurers
Audit decisions, actions, and outcomes for risk review and claims.
Lenders
Use verifiable operational evidence for underwriting and monitoring.
Food / supply-chain platforms
Strengthen traceability, obligations, and destination-aware compliance.
Compliance systems
Provide jurisdiction, rule provenance, and fail-closed audit trails.
Government / regulatory systems
Support oversight with replayable evidence, policy packs, and traceability.
How it works
The Decision Airlock
A dependency graph, not a checklist. Independent concerns evaluate in parallel, and when a fact changes only what depended on it is invalidated. It reasons across ten families of constraint:
- Identity and scope
- Evidence sufficiency
- Jurisdiction
- Agronomic fit
- Product and label
- Environmental limits
- Market and destination
- Economics
- Operational feasibility
- Authorization readiness
It fails closed. Missing, ambiguous or expired evidence produces a refusal that names what is missing — never a quiet approval. An unknown never becomes a pass.
Built for traceability
Designed for what comes next.
- Complete provenanceEvery decision cites the specific evidence and the specific rule version behind it.
- Proof trees, not proseA verdict emits the rules evaluated, their versions, the evidence used, the unknowns and the conflicts. Explanations may be generated from it; they may not alter it.
- Replay and reproduceDecision-time state is retained, so a past decision reconstructs exactly as it was made.
- Action reconciliationA recorded action is compared against the authorization that permitted it, and the comparison states its own scope. Where equivalence cannot be proven, the result is "unverified" — never a generous "matched".
Designed to scale across agriculture
One protocol, composed per region. Architecture and roadmap — not operational today.
Capability levels, not a connectivity assumption
From voice and SMS with no smartphone, through phone GPS and photographs, to connected sensors and satellite, to machinery telemetry. Missing instrumentation triggers a different evidence strategy — not exclusion.
Regional composition
Farming systems, jurisdiction rules, capability level, language and vocabulary, destination-market requirements and data-sovereignty constraints each arrive as versioned packs. Localization is not translation applied afterwards.
Offline under signed policy
Capture is separated from regulated authorization. Where a decision contract permits it, a bounded offline decision requires a valid signed policy pack and sufficient trusted time — a device clock alone is never enough.
Current stage
A working MVP, with a bigger architecture behind it.
What is implemented today
Deterministic policy execution across the full gate set, explicit evidence and claim provenance with temporal validity, accountable authorization held separate from the verdict, action recording with attestation and reconciliation, replayable decision records, and the first Indiana jurisdiction-specific decision paths.
Built on Python and FastAPI over PostgreSQL 18, with schema invariants and the full decision suite verified on every change through remote continuous integration.
What is not built yet
The AI capabilities described above as architected — multimodal interpretation, evidence extraction, claim inference — along with the ecosystem integrations, capability levels and offline operation, are designed and specified but not yet built. We would rather say so than imply otherwise.
Regulatory position
Agveriq is a decision-support pilot. It does not issue permits, grant legal permission, or replace a regulator or a licensed adviser, and it is not certified or approved by any regulatory body.