Analytics that stay explainable, repeatable, and suitable for stakeholder reporting.
Connect field, herd, and management actions to measurable outcomes you can review over time.
Standardize KPIs for comparisons, due diligence, and scenario testing without oversharing.
Access control, minimization, and audit-friendly outputs to support responsible data use.
Our mission and approach
Keltai exists to make farm data usable for decisions that can be explained to the people who run the operation and the people who fund it. Many farms and agribusiness portfolios have data in multiple formats: field books, invoices, spreadsheets, livestock logs, lab results, and reports from third parties. The challenge is not only collecting it, but turning it into a performance view that is consistent from season to season. When metrics change without a clear link to actions, trust is lost and adoption stalls.
Our approach emphasizes traceability and repeatability. We focus on measurable KPIs, documented assumptions, and workflows that reduce rework. Analytics should not be a one-off report; it should be a system that supports planning, monitoring, and review. That is why Keltai is structured around baselines, variance, and scenario thinking rather than opaque scoring.
Explainable metrics
KPIs should show how inputs drive outputs. We prioritize clarity so teams can validate results and make improvements with confidence.
Layered adoption
Start with what you have, then expand. This reduces disruption and helps ensure data quality before adding complexity.
Audit-friendly reporting
Documentation and permissioned sharing support stakeholder reporting while respecting confidentiality and minimization principles.
Privacy-first design
Keltai is built with GDPR-aligned practices in mind, including access controls and consent options for analytics and advertising cookies.
Founded and experience
Keltai Analytics Limited was founded in 2018 to support performance measurement across Irish and European agriculture. Our work spans mixed enterprises and stakeholder contexts, including on-farm management, advisory workflows, and investment oversight. While the platform evolves, the core objective remains consistent: turn data into decisions that are understandable, measurable, and repeatable.
Security, compliance, and responsible use
Farm and investment data is sensitive. Keltai is designed to support responsible use by limiting unnecessary collection and supporting permissioned access. Where analytics depend on third-party services, cookie consent is used to ensure that analytics and marketing technologies are activated only after user choice. Cookie preferences can be managed at any time using the footer link.
In operational practice, data governance is shared: farms and partners control what is provided, and Keltai supports structured handling, reporting, and export options appropriate to the agreed scope. For detailed disclosures on cookies, analytics, and advertising technologies, refer to the Privacy Policy.
Frequently asked questions
No. Keltai provides analytics and reporting tools. Any investment decision should be made with appropriate professional advice.
No. Many users begin with existing records. Additional data sources can be added over time when they improve decision quality.
Yes, access can be structured so internal teams and external partners see the information relevant to their role.
Resources and downloadable guides are listed on the Resources page, including practical templates for analytics readiness.
Analytics can support better decisions, but outcomes depend on factors outside any platform, including weather, biology, execution, and markets. Any calculator outputs or projections should be treated as planning aids and validated with qualified advisors.
Next steps
If you are exploring Ireland agri-tech analytics or building a farm performance investment guide for stakeholders, start by defining the decisions you want to improve. Most teams begin with a small KPI set, then add detail as data quality improves. Keltai supports this staged approach so you can build confidence in reporting and avoid changing definitions mid-season.
Review solutions to see how crop yield forecasting, soil monitoring, livestock performance tracking, and profitability analysis fit together. If you want a quick planning view, use the ROI calculator to compare scenarios and assumptions.