We build the operating system for serious agriculture.
AgroSynapse comes from years of working shoulder to shoulder with fruit growers and exporters who wanted to leave spreadsheets and WhatsApp behind as their operating system.
How we got here
We spent years working with fruit growers, packings and exporters in Chile and across the region. Every serious operation we met ended up doing the same thing: gluing ERP, spreadsheets and WhatsApp with duct tape. It worked, but it left the operation blind exactly when decisions mattered.
AgroSynapse exists to change that: a real operating system for fruit-growing operations, with coordinated modules over a single data source, AgentMind as the conversational layer, and the discipline of never shipping anything that can't survive a full harvest season.
We are based in Santiago, Chile, and serve customers along the South American agricultural corridor.
Make every serious operation decide on verifiable data.
Take growers, packings and exporters from intuition-driven spreadsheets to an operating system that unifies field, packing and office on a single data model.
Become the operating system of Latin American fruit growing.
So the next generation of agronomists, managers and owners runs with AgentMind as their primary interface, not notebooks and memory.
How we work
Agronomic rigor
Every module is designed with agronomists, not just engineers. If it can't survive a foreman's scrutiny, it doesn't ship.
Verifiable data
Every number in AgroSynapse traces back to the work order or voucher that produced it. No shortcuts.
Responsible speed
We iterate fast on what really hurts. We don't ship features that can't sustain a season.
Plain language
No consulting jargon, no empty promises. If your foreman doesn't get it, we rewrite it.
We come from applying technology to real-world problems.
Before AgroSynapse, members of the team worked on applied-innovation projects that shaped how we think about hardware, software and AI in service of agriculture:
- Solar vehicle — design and operation of a competition solar vehicle, with subsequent publication in an indexed international journal (IJABE).
- Early pest detection through computer vision — winner of an innovation grant from Fundación Telefónica, the foundation of what is today AI-assisted quality and plant-health work inside AgroSynapse.