Govern the evidence behind every model.

Why Intelligence™ exists

A model should not reach a consequential landscape workflow simply because it produces convincing output. Tropos Intelligence™ separates scientific development from operational use and preserves the evidence needed to understand what a model was trained on, how it was evaluated and where it is compatible.

SilvaSense™ and AgriSense™ own their domain analysis and client outputs. Intelligence™ owns the governed research lifecycle behind the datasets and models they may consume.

• Scientific separation
• Dataset and model lineage
• Compatibility controls
• Evidence before publication

Study design and research readiness

The current Research Assurance foundation includes study design, readiness and evaluation planning. It can record truthful states such as DATA NOT YET SUFFICIENT, TRAINING CLOSED, INFERENCE CLOSED, LOCKED TEST SEALED and CLAIMS NOT AUTHORISED.

Those states are deliberate controls. A screen, dataset registration or model proposal does not imply that training or inference has occurred.

• Study design
• Readiness assessment
• Evaluation plans
• Explicit closed states

Ground truth is governed, not assumed

Imagery annotation is connected to a controlled plot framework and can preserve proposals, human corrections, ambiguous or unobservable cases, image quality, slope and workflow state. The intended research loop adds independent review and adjudication before labels become trusted ground truth.

Truth quality can progress through defined tiers, from a model proposal to image reference, dual review, multisensor evidence and field validation.

• Annotation provenance
• Independent review
• Adjudication
• Truth tiers

Experiments, evaluation and benchmarks

The developing laboratory direction covers controlled experiments, genuine training, candidate comparison and evaluation by relevant conditions such as image quality, slope and density.

A sealed test set is protected from routine development so final evaluation remains meaningful. Tropos will publish accuracy or performance claims only when the experimental design and evidence justify them.

• Controlled experiments
• Candidate comparison
• Condition-aware evaluation
• Sealed final testing

A controlled model registry

The authoritative registry is intended to record each model version, its dataset lineage, evaluation evidence, compatibility and approval status. Domain products should consume only an approved compatible production model.

Potential model families—such as tree establishment, crop emergence or weed classification—remain opportunities until separately developed, evaluated and approved. A place in the opportunity register is not a product claim.

• Immutable model versions
• Evaluation evidence
• Approval status
• Consumer compatibility

Human authority remains explicit

Intelligence™ can organise evidence, compare candidates and prevent unapproved models from being published. It cannot decide whether a flight, forestry intervention, treatment or customer outcome should be approved.

Research approval, operational authority and domain interpretation remain accountable human responsibilities.

A governed Research Lab—not a catalogue of models

The Intelligence™ direction is a working research environment in which a question is defined before a model is promoted: study design, dataset lineage, annotation and reviewed ground truth, experiment comparison, evaluation, uncertainty and controlled publication.

Current Research Assurance work can present study design, readiness and evaluation planning while stating truthful closed conditions such as data not yet sufficient, training closed, inference closed and claims not authorised. Those closed states are evidence of governance—not product failure—and prevent an interface or registry entry being mistaken for a validated model.

• Research readiness
• Truth tiers and review
• Evaluation before publication
• Fail-closed claims