Building a New Operating System for Autonomous Adaptive Per Plant Farming
Moray combines causal artificial intelligence, robotics, and deep agronomic expertise to build a new operating system designed to enable breakthrough performance in row crop farming. From individual plants to entire farming operations.
THE CHALLENGE
Farming is becoming increasingly more Complex, Volatile and Uncertain
Every crop is a dynamic biological system shaped by complex interactions between plants, soil nutrients, weather, pests, diseases, weeds and farming management decisions.
As climate extremes become the norm, traditional field-level management practices can no longer address the complexity of individual plant needs in an increasingly volatile environment.
The next leap in agricultural performance requires moving beyond conventional agricultural planning & execution towards dynamic and adaptive per-plant farming.
WHO WE ARE
Five Years Building.
A Decade in the Making.
Moray was founded through a strategic partnership between SpaceTime Labs, a world class innovator in Physical AI, and SLC Agrícola, one of the world's largest and most technologically advanced row-crop farming companies.
Our team of 60+ engineers and scientists to bring autonomous adaptive per plant farming from research to real-world operations.
OUR APPROACH
An Operating System for Autonomous Adaptive Per Plant Farming
Moray is building an operating system that integrates plant-level data, causal artificial intelligence, high-fidelity simulation environments, and autonomous robotics into a continuous learning and execution loop that is adaptive.
By understanding cause-and-effect relationships across biological, physical, chemical, operational, and environmental systems, Moray seeks to continuously improve how agricultural decisions are made and executed—from individual plants to entire farming operations.
How it works
-
Sense
Continuously capture petabytes of plant-level biological, physical and chemical data through proximal and autonomous sensing systems.
-
Understand
Use causal artificial intelligence to understand the myriad of complex relationships in the field that drive crop health, productivity, and operational pertormance.
-
Predict & Simulate
Predict outcomes, simulate alternative scenarios, and identify the best course of action adapting continuously for a dynamic context.
-
Act
Translate decisions into precise field interventions through digital workflows and autonomous robotic systems.
-
Learn
Turn every action and outcome into new knowledge-continuously improving future decisions and performance.
The Technology Behind the System
-
Physical AI Per Plant Data
Per plant sensor biotic and abiotic measurements across crop cycle in operational settings.
-
Causal Per Plant Farming Agents
Causal World model agents as a backbone to our organizational learning, integrating all decision flows across the full crop cycle.
-
Simulation-First Development Workflow
High-fidelity simulation that validates the solution’s design in-silico, before implementing engineering / agronomic practice changes in the physical world post-simulations.
-
Closed-Loop Learning
Data, Engineering and Intelligence Architectures designed to maximize the learning rate through closed-loop learning.
TECHNOLOGY IN MOTION
From Causal Artificial Intelligence to Autonomous and Adaptive Action
Agricultural per plant intelligence creates greater value when learning and execution become part of the same system.
Moray integrates causal artificial intelligence, deep agronomic expertise, and autonomous robotics into a new operating system designed for autonomous adaptive per plant farming.
Every observation informs understanding. Every decision guides an action. Every outcome becomes new evidence for the next cycle. The result is a farming system designed to continuously learn and adapt.
High-Fidelity Simulation First
Moray develops and operates high-fidelity digital twins that can be optimized and thoroughly tested before developing and deploying the next generation of autonomous robotic platforms.
Leopard Navigation System
High-fidelity digital twin of Moray's Leopard autonomous robotic platform.
AI-Driven Adaptive Autonomous Farming
A new operating system designed to improve agricultural decision-making through continuous learning and autonomous execution.
THE IMPACT
Enabling Breakthrough Performance in Agriculture
Moray is developing technologies designed to transform how agricultural operations understand complexity, make decisions, and execute interventions at scale.
Built Through Real-World Validation
Moray's technologies have been developed through years of field testing, operational validation, and close collaboration with row crop farmers and agronomic specialists.
-
5
Years of Development
-
60+
Team Members
-
30
Partner Farms
-
10
States Covered
-
1M
Hectares Supported
-
50P
Physical AI Per Plant Data
-
5
Foundation Models
-
5
Patents Awarded / Pending
Featured in Agricultura do Futuro
Moray is one of the companies featured in Agricultura do Futuro, a documentary aired by CNBC highlighting Brazilian innovations that combine advanced technology, collaboration with leading farmers, and a commitment to transforming agricultural performance.
OUR INSPIRATION
Inspired by Moray
More than a thousand years ago, the Incas built an advanced agricultural laboratory in the Andes, designed to explore how farming practices could adapt to diverse and challenging environmental conditions.
The site became a living laboratory for observation, experimentation, and learning. At its core was a simple idea: better understanding leads to better decisions. That same pursuit continues to inspire our work today.
JOIN THE JOURNEY
Building a Generational Company
Agriculture is one of humanity's most important systems.
Improving how we understand and manage its complexity—amid rapidly changing climatic and geopolitical disruptions—has implications that extend far beyond productivity.
Moray was created to contribute to that mission.