AI agronomist for every field
- →Soil & micro-climate monitoring
- →Localized advice for farm operation
- →Auto irrigation & fertigation
Sensor data,
decided on site.
Cultivo is the decision layer for physical operations. We fuse Big Data pipelines, disciplined Prompt Engineering and Agentic AI into automated, auditable actions — at the edge, with or without internet.
- <50ms
- decision latency
- 100%
- audit coverage
- 0 cloud
- edge dependency
Trusted by operators ↘
AgriPulseStealth Real-estateSecret Military facility
Our position
Most platforms stream big data into a dashboard. Cultivo deploys Agentic AI that runs the operation — committing every action with a logged prompt, policy and reason, even when the network goes dark.
Why teams pick Cultivo
Built for the gap between data and action.
01
Agentic AI, not dashboards
Goal-driven agents commit to an action e.g. irrigate, alert, throttle — and log the prompt, tools and reasoning behind every call.
02
Big data, decided on site
An edge-native runtime ingests sensor, video and ERP streams locally — so decisions keep flowing during outages and low-bandwidth gaps.
03
Prompt engineering as policy
Prompts, guardrails and tool definitions are versioned like code. Every action carries the inputs, model version and policy that produced it.
Platform
Four layers. One decision loop.
Cultivo is delivered as a single edge runtime plus a control plane. Drop it next to your existing stack — no rip-and-replace.
01OUTPUT
Automated action
Agent tool-calls wired into the controllers, alerts and workflows you already run.
02REASONING
Agentic AI engine
Multi-step agents with versioned prompts, guardrails and reversible decisions.
03CONTEXT
Cultivo OS
Curated prompts and retrieval over IoT, video, sensors and ERP — one queryable site context.
04FOUNDATION
Big data, edge-first
Distributed storage for high-volume sensor and video streams that survives outages and syncs when ready.
Use cases
Where physical data meets edge decisions.
One platform, three deployments. Pick the surface that maps to your operation — we shape the pilot around it.
Privacy-first neighborhood watch
- →On-device threat detection
- →Anonymized alerts only
- →Millisecond notifications
Sites that watch themselves
- →PPE & exclusion-zone detection
- →Equipment utilization & wear
- →Keeps deciding when WAN drops
Pilot result
"We cut irrigation water by 22% on 400 hectares — without adding a single person to the team."
— Operations Director, [...] Farms (pilot, 2025)
Read the pilot brief22%
less irrigation water
3.4×
faster anomaly response
400 ha
monitored from 1 edge node
<50 ms
decision latency, on-site
Start a pilot
Bring your edge into a real decision loop.
Tell us where decisions are slowing you down. We'll shape a focused pilot around the data, people, and sites you already have — usually live in 6 weeks.