AI that works where your farm does
Turn sensor noise into clear decisions — on-site, offline-ready, and built for the people who grow our food.
Turn sensor noise into clear decisions — on-site, offline-ready, and built for the people who grow our food.
Sensors, weather reports, lab results, and compliance files — all siloed, hard to interpret, and useless without timely action.
Sensors, lab reports, and compliance docs scattered across systems. Signals exist, but they're disconnected.
Raw readings and convoluted dashboards force specialists to decode data before anyone can act.
Cloud tools assume stable internet. Farms and rural field environments rarely have that luxury.
Water quality shifts and disease risks become expensive when guidance arrives an hour too late.
Connects to existing field hardware — water monitors, soil sensors, weather stations — and normalizes fragmented signals into usable data.
Runs fine-tuned language models, retrieval pipelines, and knowledge graph generation — entirely on-site, entirely private.
Turns complexity into simple, explainable outputs — decision-ready alerts sent directly to a phone or barn display.
Proactive anomaly detection across private wells to prevent contamination before safety thresholds are breached.
Combines soil, weather, and sensor data to identify fertilization imbalances or runoff warnings in real time.
Alerts teams to disease risks or hazardous spikes via multi-sensor synthesis — even during internet outages.
Reasons over county regulations and operational data to deliver immediate, grounded answers on safety protocols.
The SustainAI system flagged an overnight shift in water conductivity at the south well. Based on your soil type and recent weather, it suggests possible contamination from field runoff.
Because the system had a connection last night, it already pulled the latest county advisory and cross-referenced your readings. It's showing you two recommended actions in three sentences.
You didn't open a dashboard. You didn't call a consultant. You didn't wait for a cloud server. The answer was already there — generated on your property, by a system that understands your farm.
We combine on-site sensor data, private documents, and domain knowledge into one modular system that helps teams decide faster. Local-first, explainable, built for environments where connectivity is inconsistent and action cannot wait.
SustainAI comes from direct exposure to the realities of agriculture. In many field environments, important decisions rely on fragmented information and tools that don't fit the conditions on the ground. We built SustainAI to close that gap.
PASTOR, our first working system, integrated thousands of scientific papers into a citation-grounded knowledge base. That exact architecture now powers SustainAI for agriculture — proving massive data can be unified rapidly with trust and traceability.
Core reasoning happens on site. The system doesn't fail when the internet drops.
No oversized general-purpose models. Smaller, efficient, domain-tuned models built for the task.
Combines models with operational context, scientific input, and real-world field signals.
Most tools stop at analytics. We help you decide what to do next.
A team of researchers and builders turning years of applied AI and domain science into a right-sized system that works where it is needed.
University Faculty Scholar and Director of Undergraduate Programs in Materials Science & Engineering. She brings deep scientific rigor and applied AI expertise to the foundation.
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Leads product architecture, edge AI systems, and the vision from research prototype to field-deployable infrastructure. Focuses heavily on local-first modularity.
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Leads the knowledge graph architecture, citation-grounded retrieval, and multi-agent systems giving SustainAI its ability to reason across fragmented sources securely.
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Faculty at NC State bringing deep materials science expertise to ground SustainAI's sensor and hardware integration in validated physical science methodologies.
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Decades of leadership in digital and quantitative technology, bringing immense commercialization strategy and scaling expertise to the architectural foundation.
LinkedInWe're piloting with 3–5 farms and water utilities. If you have sensors, field challenges, and a desire to move faster — we want to talk.