Blog & updates
Articles, product updates, research notes, and honest reflections on what we’re learning as we build explainable, country-aware agronomy tools.
From demo to field: what changed when we left the lab
A walk-through of what broke, what surprised us, and which guardrails we had to tighten once real agronomists and farmers started using FildraAI outside of controlled pilots.
How our safety rules, responsible-use policy, and country packs interact to block certain chemistries, even when they look “optimal” from a pure yield perspective.
A plain-language explainer on how we use AI focus areas in FieldVision, and why “heatmaps” still need human agronomists to interpret edge cases.
A case-style narrative about working with a small field team, and how stricter safety constraints changed advisory conversations for the better.
Product, infrastructure & data
Posts aimed at engineers, data teams, and product leads who want to understand how we actually run FildraAI behind the scenes.
How we think about retries, partial uploads, offline workflows, and graceful degradation when connectivity is inconsistent or expensive.
A high-level view of how images, chats, and evaluation labels move through our system — and where we deliberately slow down to preserve safety and privacy.
For partners & programs
Articles that sit between product and case studies — intended for NGOs, agribusinesses, and governments considering a pilot or integration.
A short checklist on crops, regions, roles, evaluation, and safety guardrails to agree on before you involve field teams.
Our view on why interpretability, country packs, and clear responsibilities matter more than sheer parameter count when people’s crops and incomes are involved.