Start with the decision you need to make.

Come to us when: You are comparing a lighting system, sensor, automation technology, biological product, AI application, or other crop innovation—and the available evidence or vendor claims do not make the decision clear.

AgriFuseAI will: Verify the original research and product information; distinguish measured performance from marketing interpretation; compare crop, cultivar, production system, scale, geography, maturity, operating requirements, Ontario availability, service support, and customer context; and identify the questions a vendor or specialist still needs to answer.

You receive: A Technology & Product Decision Brief containing an evidence comparison, claim-versus-support table, operational-fit assessment, limitations, unresolved risks, information gaps, and a documented recommendation.

This helps you decide: Which options deserve a shortlist, whether the evidence supports purchase, whether a comparative local pilot is required, whether more information should be requested, or whether no current investment is justified.

Come to us when: Crop performance has changed, additional inputs are producing less benefit than expected, or light, heat, CO₂, humidity, timing, crop stage, and production conditions may be interacting.

AgriFuseAI will: Review the decision question and measurement quality; examine relevant operational data; compare timing and recurring patterns; connect the observations with credible crop and photosynthesis research; and rank supported explanations without treating correlation as proof.

You receive: A Greenhouse Data & Crop-Response Assessment containing the usable-data review, supported patterns, competing explanations, research context, important limitations, and the most informative next comparison, measurement, or specialist question.

This helps you decide: Whether the existing data support an operational hypothesis, whether another factor may be limiting response, what should be measured next, and whether crop, controls, engineering, laboratory, or other specialist input is required.

Come to us when: You need to test a technology or operating approach fairly, or when a completed vendor or internal trial appears promising but its evidence is not yet strong enough for a larger commitment.

AgriFuseAI will: Clarify the claim, baseline, comparison, crop and operating conditions, measurements, confounding factors, success criteria, data requirements, and decision rules; or review a completed pilot against those requirements.

You receive: Before a pilot, a Pilot Decision Plan defining the comparison, measurements, responsibilities, success criteria, and interpretation limits. After a pilot, a Results Review distinguishing supported findings, unresolved alternatives, operational relevance, and evidence needed before scaling.

This helps you decide: Whether to run the pilot, modify its design, extend data collection, involve a specialist, scale the technology, renegotiate the proposed implementation, or stop.