Evidence infrastructure for agricultural climate reliance
Make agricultural climate evidence ready for external reliance.
AgEvidence transforms operational events and controlled source records into inspectable, portable evidence artifacts for buyers, verifiers, program operators, research sponsors and reporting entities.
No core-system replacement. No universal eligibility claim. No migration of your operational platform.
The problem
Your systems generate data. Institutions need evidence.
Agricultural technologies already generate intervention records, telemetry, measurement outputs, calibration histories, trial documents, model results, processor records and settlement events. Those records do not automatically answer:
- where the evidence originated;
- who had authority to create it;
- which animal, herd, property, batch, facility or intervention it concerns;
- which software, model and methodology version interpreted it;
- what is missing or uncertain;
- who reviewed it;
- which party owns or may rely on the resulting claim.
Evidence lineage
- 01Operational records
- 02Evidence contract
- 03Gap and review state
- 04Method / buyer profile
- 05Bounded reliance artifact
What AgEvidence does
Six stable evidence jobs.
Connect
Preserve
Diagnose
Evaluate
Assemble
Operate
How it works
From one representative flow to a portable artifact.
STEP 1
Submit one representative flow
One signed operational event, API payload, measurement output or controlled source manifest.
STEP 2
Map it into the evidence contract
Source identity, authority, event time, schema and software version, entity relationships, rights, limitations, parent evidence, signatures.
STEP 3
Inspect the gaps
Absent, inconsistent, unsupported, outside a model domain, awaiting human review, restricted or superseded evidence.
STEP 4
Apply a bounded profile
A named methodology, buyer requirement, assurance profile, country adapter, program contract or institutional review context.
STEP 5
Produce a portable artifact
What evidence is present, what was reviewed, which profile applied, what limitations remain, and what it does not establish.
Product modules
One evidence lifecycle, marked by maturity.
Working development surface. Production security, scientific efficacy, registry acceptance and customer adoption are separate and unproven.
Who it is for
Four evidence positions.
Livestock technology providers
For dosing, intervention, delivery, telemetry, device and exception evidence.
Map an operational event →Biological-input and research companies
For batch, assay, trial, efficacy, safety and controlled-document evidence.
Submit a source manifest →Measurement and processor platforms
For device identity, calibration, model versions, facility context, buyer decisions and settlement evidence.
Build a buyer evidence trace →Buyers and program operators
For supplier comparability, Scope 3 evidence, allocation controls, assurance packages and reliance documentation.
Define a reliance requirement →Target accounts are internal commercial hypotheses. No organisation is represented here as a customer.
Initial engagements
Bounded evidence-and-reliance engagements.
Evidence Architecture Sprint
Verification Readiness Cycle
Protocol Evidence Implementation
Enterprise Reliance Artifact
Managed Evidence Operations
Not generally availableEngagements are scoped according to the evidence flow, external obligation, integration complexity, data rights, review requirements and reusable product capability created.
Evidence, not authority
AgEvidence preserves evidence. External institutions retain authority.
Technical integrity
Is the record intact and traceable?
Scientific interpretation
What does the evidence support scientifically?
Method compatibility
Does it satisfy a specific profile?
External reliance
What did a buyer, verifier or institution decide?
A valid signature is not proof of scientific efficacy. Method compatibility is not registry approval. Artifact generation is not external acceptance. Payment is not evidence quality.
Repository and live proof
Inspect the working evidence path.
- GitHub repository at an exact tagged release, not only the repository root;
- clean-machine setup instructions;
- sample event and sample source manifest;
- evidence projection, gap report and review ledger;
- artifact output and local verification instructions;
- known limitations.
git clone https://github.com/agevidence/agevidence.git git checkout v0.3.0-dev bin/setup agev events ingest fixtures/dosing_event.json agev gaps report --case AU-LIVESTOCK-001 agev review record --case AU-LIVESTOCK-001 --reviewer you@org agev profile apply --profile au.livestock.v1 agev artifact build --case AU-LIVESTOCK-001 --out artifact.json agev artifact verify artifact.json
Investors
Building the evidence layer beneath agricultural climate markets.
AgEvidence's venture thesis is to turn customer-specific evidence mappings into shared schemas, adapters, conformance fixtures, artifact profiles and managed operating infrastructure that reduce marginal delivery cost over time.
- paid problem validation;
- one real evidence flow;
- one external reviewer;
- second-customer reuse;
- recurring managed operations;
- declining bespoke effort;
- external schema or conformance adoption.